Embedding Models: Clustering COVID-19 Versus “Poxes”

Following on our "mpox" versus "monkeypox" experiment, let's use that same embedding visualization template to cluster a broader set of sentences covering both COVID and a range of "poxes" (including a fictional "golden pox"), along with a few related and unrelated sentences, to test how the models behave. We'll use the same set of models as before: the English-only USEv4, the larger English-only USEv5-Large, the 16-language USEv3-Multilingual and the larger 16-language USEv3-Multilingual-Large models (supporting 16 languages: Arabic, Chinese-simplified, Chinese-traditional, English, French, German, Italian, Japanese, Korean, Dutch, Polish, Portuguese, Spanish, Thai, Turkish, Russian), the 100-language LaBSEv2 model optimized for translation-pair scoring and the Vertex AI Embeddings for Text API.

sentences = [
    "COVID cases continue to climb.",
    "COVID-19 cases continue to climb.",
    "Covid cases continue to climb.",
    "COVID case count is rising.",
    "Coronavirus cases continue to climb.",
    "Infections continue to climb.",
    "Mpox cases continue to climb",
    "mpox cases continue to climb",
    "Monkey pox cases continue to climb",
    "Monkeypox cases continue to climb",
    "Cowpox cases continue to climb",
    "Cow pox cases continue to climb",
    "Camelpox cases continue to climb",
    "Horsepox cases continue to climb",
    "Raccoonpox cases continue to climb",
    "Skunkpox cases continue to climb",
    "Goldpox cases continue to climb",
    "Pox cases continue to climb",
    "XYZABC cases continue to climb",
    "XYZ cases continue to climb",
    "ABC cases continue to climb",
    "cases continue to climb",
    "Bankrupcy cases continue to climb",
    "Eviction cases continue to climb",
    "Shoplifting cases continue to climb",
    "Criminal cases continue to climb",
    "cases continue to climb",
 ]

Vertex AI

Vertex strongly clusters the various "poxes" together, though interestingly, it separates Mpox due to it being a novel term given Gecko's LLM knowledge cutoff. COVID sentences are clustered together and strongly separated from the poxes, with "infections" appearing halfway between the two and near generalized "cases" discussions, with financial and criminal-related terms being stratified both from the disease-related sentences and themselves:

[[0.99999973 0.98231408 0.98858181 0.92365731 0.95436865 0.83845816 0.84188421 0.86454809 0.77936602 0.78291223 0.81343333 0.82175943 0.79758203 0.78384558 0.79014863 0.80212133 0.78974198 0.83340541 0.84746832 0.83107103 0.82581688 0.85126185 0.76581279 0.75123454 0.74024387 0.78902415 0.85126185]
[0.98231408 0.9999997 0.97478915 0.91785976 0.95671354 0.84215814 0.84365332 0.86330984 0.78426932 0.79269746 0.8221456 0.83025942 0.81007446 0.79906042 0.79599007 0.80320894 0.79969095 0.83631721 0.85718248 0.84302905 0.83150371 0.85456461 0.76591962 0.7495776 0.73777158 0.79004031 0.85456461]
[0.98858181 0.97478915 0.99999961 0.91910783 0.95072048 0.84383446 0.83112737 0.85164863 0.7741369 0.7754845 0.80344277 0.81133711 0.79101676 0.77853367 0.78269184 0.79780702 0.77790012 0.82743989 0.84176784 0.82728825 0.81856478 0.84129292 0.7618988 0.74433904 0.73274942 0.78015398 0.84129292]
[0.92365731 0.91785976 0.91910783 0.99999985 0.88488822 0.78860592 0.80325463 0.81051944 0.75912377 0.75887033 0.79040607 0.79806827 0.76972807 0.75782568 0.77364919 0.7743851 0.76352992 0.79977767 0.80875096 0.79878647 0.79891086 0.82173587 0.72613916 0.71976867 0.7162802 0.74249968 0.82173587]
[0.95436865 0.95671354 0.95072048 0.88488822 0.99999989 0.85407964 0.844848 0.86133752 0.78776818 0.79804455 0.82299346 0.82928868 0.81468709 0.80103317 0.80677887 0.80741419 0.79359297 0.8547287 0.851073 0.83394861 0.83850382 0.85858723 0.76583352 0.74321908 0.74155931 0.79390008 0.85858723]
[0.83845816 0.84215814 0.84383446 0.78860592 0.85407964 0.99999969 0.82031304 0.82925896 0.79409713 0.79787644 0.80750001 0.806264 0.79750907 0.79237086 0.78902425 0.81329019 0.78993123 0.83381854 0.84012598 0.81813463 0.82216086 0.82683108 0.71310074 0.72885241 0.69649662 0.74192156 0.82683108]
[0.84188421 0.84365332 0.83112737 0.80325463 0.844848 0.82031304 0.99999952 0.976166 0.87537304 0.91140729 0.90388705 0.88420827 0.90836962 0.89194815 0.8958461 0.89198145 0.90305827 0.94882156 0.85112085 0.85011999 0.8223029 0.82390608 0.71736053 0.72659046 0.70073325 0.74046776 0.82390608]
[0.86454809 0.86330984 0.85164863 0.81051944 0.86133752 0.82925896 0.976166 0.9999997 0.86688576 0.89675627 0.89151725 0.87951914 0.89107826 0.86751359 0.87659869 0.88932327 0.88701641 0.92719926 0.86952601 0.8614716 0.84048159 0.84544843 0.73018087 0.74939914 0.71968809 0.76261251 0.84544843]
[0.77936602 0.78426932 0.7741369 0.75912377 0.78776818 0.79409713 0.87537304 0.86688576 0.99999979 0.9728849 0.89085859 0.8928595 0.87831417 0.8693817 0.88850803 0.892679 0.85992599 0.89799644 0.81075833 0.80872879 0.8112254 0.80919465 0.6970217 0.71466159 0.67536172 0.70575874 0.80919465]
[0.78291223 0.79269746 0.7754845 0.75887033 0.79804455 0.79787644 0.91140729 0.89675627 0.9728849 0.99999991 0.91943704 0.89973309 0.91102331 0.9024466 0.92061204 0.92376131 0.89227783 0.91855145 0.81501164 0.8170955 0.81025909 0.82064383 0.7005336 0.72737193 0.6863612 0.72138596 0.82064383]
[0.81343333 0.8221456 0.80344277 0.79040607 0.82299346 0.80750001 0.90388705 0.89151725 0.89085859 0.91943704 0.99999973 0.97429723 0.926703 0.92914826 0.91341432 0.90380908 0.90961505 0.92693453 0.83597414 0.84490825 0.82791984 0.84684006 0.73104202 0.7568346 0.72412477 0.75496918 0.84684006]
[0.82175943 0.83025942 0.81133711 0.79806827 0.82928868 0.806264 0.88420827 0.87951914 0.8928595 0.89973309 0.97429723 0.99999977 0.90111622 0.9116907 0.89030532 0.89171694 0.88157032 0.92058631 0.83401825 0.83782483 0.82900334 0.8443124 0.7397042 0.76117708 0.72385654 0.74959898 0.8443124 ]
[0.79758203 0.81007446 0.79101676 0.76972807 0.81468709 0.79750907 0.90836962 0.89107826 0.87831417 0.91102331 0.926703 0.90111622 0.99999955 0.9084496 0.90334305 0.89196469 0.88969146 0.90949354 0.8359962 0.84241896 0.8115404 0.83171646 0.72523797 0.74177353 0.71001836 0.74082813 0.83171646]
[0.78384558 0.79906042 0.77853367 0.75782568 0.80103317 0.79237086 0.89194815 0.86751359 0.8693817 0.9024466 0.92914826 0.9116907 0.9084496 0.99999956 0.8813294 0.87465318 0.90705604 0.92549864 0.81899558 0.83258065 0.80764201 0.81562171 0.71512625 0.7402225 0.69485947 0.7311917 0.81562171]
[0.79014863 0.79599007 0.78269184 0.77364919 0.80677887 0.78902425 0.8958461 0.87659869 0.88850803 0.92061204 0.91341432 0.89030532 0.90334305 0.8813294 0.99999956 0.92771863 0.87158131 0.90583114 0.81379764 0.8040769 0.78997581 0.79737521 0.714932 0.72961807 0.67616981 0.7254055 0.79737521]
[0.80212133 0.80320894 0.79780702 0.7743851 0.80741419 0.81329019 0.89198145 0.88932327 0.892679 0.92376131 0.90380908 0.89171694 0.89196469 0.87465318 0.92771863 0.99999943 0.87214503 0.90697878 0.82352683 0.81277807 0.80669524 0.82181761 0.7270014 0.74795354 0.69809298 0.73053502 0.82181761]
[0.78974198 0.79969095 0.77790012 0.76352992 0.79359297 0.78993123 0.90305827 0.88701641 0.85992599 0.89227783 0.90961505 0.88157032 0.88969146 0.90705604 0.87158131 0.87214503 0.9999996 0.91443273 0.83066706 0.83868237 0.79900282 0.81031856 0.69760321 0.7197401 0.70043975 0.72574548 0.81031856]
[0.83340541 0.83631721 0.82743989 0.79977767 0.8547287 0.83381854 0.94882156 0.92719926 0.89799644 0.91855145 0.92693453 0.92058631 0.90949354 0.92549864 0.90583114 0.90697878 0.91443273 0.99999969 0.845932 0.84618166 0.83712827 0.84416546 0.72246129 0.74022955 0.70695492 0.74872965 0.84416546]
[0.84746832 0.85718248 0.84176784 0.80875096 0.851073 0.84012598 0.85112085 0.86952601 0.81075833 0.81501164 0.83597414 0.83401825 0.8359962 0.81899558 0.81379764 0.82352683 0.83066706 0.845932 0.99999948 0.95602007 0.93346559 0.89684728 0.77813674 0.7775931 0.75708899 0.7997694 0.89684728]
[0.83107103 0.84302905 0.82728825 0.79878647 0.83394861 0.81813463 0.85011999 0.8614716 0.80872879 0.8170955 0.84490825 0.83782483 0.84241896 0.83258065 0.8040769 0.81277807 0.83868237 0.84618166 0.95602007 0.9999996 0.90981114 0.91065151 0.76220432 0.78951399 0.76992265 0.81864904 0.91065151]
[0.82581688 0.83150371 0.81856478 0.79891086 0.83850382 0.82216086 0.8223029 0.84048159 0.8112254 0.81025909 0.82791984 0.82900334 0.8115404 0.80764201 0.78997581 0.80669524 0.79900282 0.83712827 0.93346559 0.90981114 0.99999982 0.92640624 0.80443768 0.79138495 0.78239081 0.84173507 0.92640624]
[0.85126185 0.85456461 0.84129292 0.82173587 0.85858723 0.82683108 0.82390608 0.84544843 0.80919465 0.82064383 0.84684006 0.8443124 0.83171646 0.81562171 0.79737521 0.82181761 0.81031856 0.84416546 0.89684728 0.91065151 0.92640624 0.99999971 0.8068264 0.84311053 0.82975246 0.88383585 0.99999971]
[0.76581279 0.76591962 0.7618988 0.72613916 0.76583352 0.71310074 0.71736053 0.73018087 0.6970217 0.7005336 0.73104202 0.7397042 0.72523797 0.71512625 0.714932 0.7270014 0.69760321 0.72246129 0.77813674 0.76220432 0.80443768 0.8068264 0.99999963 0.79596276 0.75873485 0.81741417 0.8068264 ]
[0.75123454 0.7495776 0.74433904 0.71976867 0.74321908 0.72885241 0.72659046 0.74939914 0.71466159 0.72737193 0.7568346 0.76117708 0.74177353 0.7402225 0.72961807 0.74795354 0.7197401 0.74022955 0.7775931 0.78951399 0.79138495 0.84311053 0.79596276 0.99999958 0.7897388 0.82473264 0.84311053]
[0.74024387 0.73777158 0.73274942 0.7162802 0.74155931 0.69649662 0.70073325 0.71968809 0.67536172 0.6863612 0.72412477 0.72385654 0.71001836 0.69485947 0.67616981 0.69809298 0.70043975 0.70695492 0.75708899 0.76992265 0.78239081 0.82975246 0.75873485 0.7897388 0.99999965 0.84872545 0.82975246]
[0.78902415 0.79004031 0.78015398 0.74249968 0.79390008 0.74192156 0.74046776 0.76261251 0.70575874 0.72138596 0.75496918 0.74959898 0.74082813 0.7311917 0.7254055 0.73053502 0.72574548 0.74872965 0.7997694 0.81864904 0.84173507 0.88383585 0.81741417 0.82473264 0.84872545 0.9999997 0.88383585]
[0.85126185 0.85456461 0.84129292 0.82173587 0.85858723 0.82683108 0.82390608 0.84544843 0.80919465 0.82064383 0.84684006 0.8443124 0.83171646 0.81562171 0.79737521 0.82181761 0.81031856 0.84416546 0.89684728 0.91065151 0.92640624 0.99999971 0.8068264 0.84311053 0.82975246 0.88383585 0.99999971]]

Universal Sentence Encoder

USE similarly clusters the poxes, though also clusters the COVID sentences with them as well:

[[0.99999964 0.9278996 0.99999964 0.44141138 0.90179324 0.5998069 0.92031145 0.92031145 0.61759937 0.9434178 0.9268558 0.6440102 0.92915195 0.92998016 0.9307208 0.9285012 0.9360397 0.7681593 0.926641 0.78193915 0.78624296 0.93601644 0.7980505 0.65935093 0.63483053 0.7403465 0.9360167 ]
[0.9278996 0.9999999 0.9278996 0.44801968 0.89491713 0.58475095 0.9216107 0.9216107 0.57499385 0.93277586 0.9430268 0.6087543 0.92952895 0.9372319 0.9335282 0.9292965 0.91447234 0.7459039 0.9213443 0.7885382 0.7948745 0.92809653 0.8000014 0.6597717 0.62314534 0.7321352 0.92809665]
[0.99999964 0.9278996 0.99999964 0.44141138 0.90179324 0.5998069 0.92031145 0.92031145 0.61759937 0.9434178 0.9268558 0.6440102 0.92915195 0.92998016 0.9307208 0.9285012 0.9360397 0.7681593 0.926641 0.78193915 0.78624296 0.93601644 0.7980505 0.65935093 0.63483053 0.7403465 0.9360167 ]
[0.44141138 0.44801968 0.44141138 0.9999999 0.32819027 0.23027605 0.4075501 0.4075501 0.30080652 0.4005769 0.42766708 0.30270755 0.39442572 0.39199227 0.4181232 0.4041496 0.40769947 0.37323868 0.4056031 0.42055216 0.36339107 0.39127746 0.32314026 0.27265787 0.2507728 0.36090264 0.3912775 ]
[0.90179324 0.89491713 0.90179324 0.32819027 1.0000002 0.57455695 0.87181044 0.87181044 0.5865221 0.92595273 0.90513325 0.6166196 0.8855854 0.91329086 0.8997835 0.9175459 0.89067817 0.73884124 0.8912053 0.74245864 0.7232497 0.9041005 0.7846849 0.60883534 0.6139089 0.70629275 0.90410054]
[0.5998069 0.58475095 0.5998069 0.23027605 0.57455695 0.99999976 0.61052424 0.61052424 0.5162144 0.5742733 0.5808811 0.46077648 0.5783893 0.62529165 0.6038858 0.56375194 0.57201064 0.5526279 0.60621476 0.44264203 0.44153047 0.61311924 0.5572007 0.32719606 0.36559856 0.44271106 0.61311936]
[0.92031145 0.9216107 0.92031145 0.4075501 0.87181044 0.61052424 0.9999998 0.9999998 0.5736681 0.9319551 0.9113785 0.59228903 0.92210954 0.9326319 0.9149749 0.901845 0.9130823 0.7637011 0.9212644 0.76964533 0.756829 0.9284401 0.8142626 0.62825227 0.64345956 0.74252325 0.92844015]
[0.92031145 0.9216107 0.92031145 0.4075501 0.87181044 0.61052424 0.9999998 0.9999998 0.5736681 0.9319551 0.9113785 0.59228903 0.92210954 0.9326319 0.9149749 0.901845 0.9130823 0.7637011 0.9212644 0.76964533 0.756829 0.9284401 0.8142626 0.62825227 0.64345956 0.74252325 0.92844015]
[0.61759937 0.57499385 0.61759937 0.30080652 0.5865221 0.5162144 0.5736681 0.5736681 0.99999976 0.59238565 0.60027933 0.7295571 0.5502312 0.60893464 0.5915247 0.54618275 0.5820472 0.7823839 0.5724592 0.53098285 0.54122204 0.5709772 0.49246323 0.41951782 0.43333888 0.4711119 0.5709772 ]
[0.9434178 0.93277586 0.9434178 0.4005769 0.92595273 0.5742733 0.9319551 0.9319551 0.59238565 0.99999976 0.94247097 0.6048553 0.93082774 0.9419904 0.9384578 0.9337964 0.9355173 0.77258056 0.9424112 0.7809459 0.79348385 0.9452901 0.82409126 0.65859735 0.6525098 0.77611613 0.9452902 ]
[0.9268558 0.9430268 0.9268558 0.42766708 0.90513325 0.5808811 0.9113785 0.9113785 0.60027933 0.94247097 0.9999999 0.6344595 0.9333968 0.9403799 0.9317895 0.9203824 0.91781765 0.7806976 0.92103016 0.80081475 0.7639849 0.9239783 0.794566 0.6165519 0.62448084 0.7291654 0.9239782 ]
[0.6440102 0.6087543 0.6440102 0.30270755 0.6166196 0.46077648 0.59228903 0.59228903 0.7295571 0.6048553 0.6344595 0.99999976 0.59155524 0.6311451 0.6321358 0.58299506 0.60487205 0.78816426 0.5717484 0.52967 0.515937 0.5927292 0.50236326 0.4124083 0.35660657 0.4801392 0.59272933]
[0.92915195 0.92952895 0.92915195 0.39442572 0.8855854 0.5783893 0.92210954 0.92210954 0.5502312 0.93082774 0.9333968 0.59155524 1. 0.9253263 0.92527497 0.9126809 0.9231258 0.74911344 0.9272445 0.7976389 0.77537274 0.9239167 0.8278401 0.6411918 0.64156055 0.7491772 0.92391676]
[0.92998016 0.9372319 0.92998016 0.39199227 0.91329086 0.62529165 0.9326319 0.9326319 0.60893464 0.9419904 0.9403799 0.6311451 0.9253263 1.0000002 0.9282267 0.9193126 0.9273825 0.76473266 0.9231846 0.7869176 0.7866501 0.9396586 0.7995247 0.6397021 0.6420275 0.7465458 0.93965864]
[0.9307208 0.9335282 0.9307208 0.4181232 0.8997835 0.6038858 0.9149749 0.9149749 0.5915247 0.9384578 0.9317895 0.6321358 0.92527497 0.9282267 0.99999994 0.9070209 0.9148617 0.7649777 0.9083228 0.76876557 0.80756843 0.9153911 0.79456073 0.6202419 0.65044534 0.75041616 0.9153912 ]
[0.9285012 0.9292965 0.9285012 0.4041496 0.9175459 0.56375194 0.901845 0.901845 0.54618275 0.9337964 0.9203824 0.58299506 0.9126809 0.9193126 0.9070209 0.9999999 0.91848624 0.7343259 0.9197302 0.79412 0.77597773 0.94296974 0.8077692 0.6544783 0.63093615 0.72408015 0.94296986]
[0.9360397 0.91447234 0.9360397 0.40769947 0.89067817 0.57201064 0.9130823 0.9130823 0.5820472 0.9355173 0.91781765 0.60487205 0.9231258 0.9273825 0.9148617 0.91848624 0.99999964 0.7454339 0.9373399 0.785463 0.7911953 0.93540406 0.81030715 0.65408254 0.6541514 0.7473169 0.935404 ]
[0.7681593 0.7459039 0.7681593 0.37323868 0.73884124 0.5526279 0.7637011 0.7637011 0.7823839 0.77258056 0.7806976 0.78816426 0.74911344 0.76473266 0.7649777 0.7343259 0.7454339 0.9999999 0.72944796 0.6576253 0.659107 0.7502047 0.6567933 0.54196537 0.49631375 0.6081634 0.7502048 ]
[0.926641 0.9213443 0.926641 0.4056031 0.8912053 0.60621476 0.9212644 0.9212644 0.5724592 0.9424112 0.92103016 0.5717484 0.9272445 0.9231846 0.9083228 0.9197302 0.9373399 0.72944796 0.99999964 0.7794999 0.77294475 0.94749343 0.8153981 0.6694832 0.6424742 0.7524859 0.94749355]
[0.78193915 0.7885382 0.78193915 0.42055216 0.74245864 0.44264203 0.76964533 0.76964533 0.53098285 0.7809459 0.80081475 0.52967 0.7976389 0.7869176 0.76876557 0.79412 0.785463 0.6576253 0.7794999 0.9999995 0.7566964 0.78613484 0.70983386 0.5798265 0.5553011 0.58354473 0.78613496]
[0.78624296 0.7948745 0.78624296 0.36339107 0.7232497 0.44153047 0.756829 0.756829 0.54122204 0.79348385 0.7639849 0.515937 0.77537274 0.7866501 0.80756843 0.77597773 0.7911953 0.659107 0.77294475 0.7566964 1. 0.78012997 0.6657962 0.5845265 0.5634089 0.6566794 0.78013 ]
[0.93601644 0.92809653 0.93601644 0.39127746 0.9041005 0.61311924 0.9284401 0.9284401 0.5709772 0.9452901 0.9239783 0.5927292 0.9239167 0.9396586 0.9153911 0.94296974 0.93540406 0.7502047 0.94749343 0.78613484 0.78012997 1.0000001 0.82432747 0.6449 0.6390736 0.7716596 1. ]
[0.7980505 0.8000014 0.7980505 0.32314026 0.7846849 0.5572007 0.8142626 0.8142626 0.49246323 0.82409126 0.794566 0.50236326 0.8278401 0.7995247 0.79456073 0.8077692 0.81030715 0.6567933 0.8153981 0.70983386 0.6657962 0.82432747 0.99999964 0.6745155 0.6888561 0.68237966 0.82432747]
[0.65935093 0.6597717 0.65935093 0.27265787 0.60883534 0.32719606 0.62825227 0.62825227 0.41951782 0.65859735 0.6165519 0.4124083 0.6411918 0.6397021 0.6202419 0.6544783 0.65408254 0.54196537 0.6694832 0.5798265 0.5845265 0.6449 0.6745155 0.99999994 0.62795854 0.5603915 0.6449001 ]
[0.63483053 0.62314534 0.63483053 0.2507728 0.6139089 0.36559856 0.64345956 0.64345956 0.43333888 0.6525098 0.62448084 0.35660657 0.64156055 0.6420275 0.65044534 0.63093615 0.6541514 0.49631375 0.6424742 0.5553011 0.5634089 0.6390736 0.6888561 0.62795854 0.9999999 0.66735053 0.6390737 ]
[0.7403465 0.7321352 0.7403465 0.36090264 0.70629275 0.44271106 0.74252325 0.74252325 0.4711119 0.77611613 0.7291654 0.4801392 0.7491772 0.7465458 0.75041616 0.72408015 0.7473169 0.6081634 0.7524859 0.58354473 0.6566794 0.7716596 0.68237966 0.5603915 0.66735053 1. 0.7716596 ]
[0.9360167 0.92809665 0.9360167 0.3912775 0.90410054 0.61311936 0.92844015 0.92844015 0.5709772 0.9452902 0.9239782 0.59272933 0.92391676 0.93965864 0.9153912 0.94296986 0.935404 0.7502048 0.94749355 0.78613496 0.78013 1. 0.82432747 0.6449001 0.6390737 0.7716596 1.0000001 ]]

Universal Sentence Encoder Large

USE Large stratifies disease-related terms more. Interestingly, it separates Monkey pox and Cow pox from the other poxes:

[[0.99999964 0.7600825 0.99999964 0.6861944 0.7741569 0.53510064 0.79402256 0.79402256 0.65095776 0.8307419 0.81419826 0.6374712 0.8245374 0.8241689 0.831389 0.80719995 0.7949877 0.75092304 0.81994474 0.7428277 0.7000743 0.8053789 0.635957 0.62807846 0.6570054 0.7266982 0.8053791 ]
[0.7600825 1. 0.7600825 0.47717917 0.7891427 0.56704974 0.77636343 0.77636343 0.60849965 0.8389672 0.857327 0.6234149 0.8761772 0.8670326 0.82293093 0.8355209 0.8339151 0.7266394 0.8489965 0.70156056 0.75185215 0.88372236 0.6657079 0.70834875 0.6859916 0.72761977 0.88372236]
[0.99999964 0.7600825 0.99999964 0.6861944 0.7741569 0.53510064 0.79402256 0.79402256 0.65095776 0.8307419 0.81419826 0.6374712 0.8245374 0.8241689 0.831389 0.80719995 0.7949877 0.75092304 0.81994474 0.7428277 0.7000743 0.8053789 0.635957 0.62807846 0.6570054 0.7266982 0.8053791 ]
[0.6861944 0.47717917 0.6861944 0.9999999 0.49166816 0.2653688 0.4857425 0.4857425 0.40456492 0.52178 0.5083705 0.398942 0.5108931 0.510211 0.52802634 0.5151931 0.47658658 0.4826646 0.5050362 0.48537073 0.45844573 0.4799559 0.4058717 0.38223872 0.3794523 0.46438563 0.47995603]
[0.7741569 0.7891427 0.7741569 0.49166816 1. 0.6227167 0.79055107 0.79055107 0.6723449 0.8676685 0.85227776 0.6739739 0.8800736 0.86149526 0.83860457 0.8117925 0.81525815 0.7845891 0.8415675 0.7549336 0.7456371 0.8229513 0.6644239 0.718372 0.6911726 0.7194252 0.8229513 ]
[0.53510064 0.56704974 0.53510064 0.2653688 0.6227167 0.99999976 0.5425172 0.5425172 0.54162943 0.6657336 0.6337553 0.5504907 0.6301753 0.62920094 0.5923427 0.58859944 0.57966816 0.6389692 0.5962889 0.5214226 0.5089321 0.6175796 0.50291127 0.55395496 0.5313476 0.5690954 0.6175796 ]
[0.79402256 0.77636343 0.79402256 0.4857425 0.79055107 0.5425172 0.9999997 0.9999997 0.6141465 0.8302373 0.83562505 0.6221237 0.8545418 0.84186196 0.8306247 0.82440686 0.78368676 0.7475042 0.8467376 0.71127236 0.7102442 0.81487095 0.6450256 0.65376866 0.6563195 0.7173031 0.81487113]
[0.79402256 0.77636343 0.79402256 0.4857425 0.79055107 0.5425172 0.9999997 0.9999997 0.6141465 0.8302373 0.83562505 0.6221237 0.8545418 0.84186196 0.8306247 0.82440686 0.78368676 0.7475042 0.8467376 0.71127236 0.7102442 0.81487095 0.6450256 0.65376866 0.6563195 0.7173031 0.81487113]
[0.65095776 0.60849965 0.65095776 0.40456492 0.6723449 0.54162943 0.6141465 0.6141465 1.0000004 0.71123666 0.69850993 0.8369531 0.65119946 0.69157386 0.66333497 0.61924314 0.66605884 0.8616868 0.6464678 0.5561294 0.59378827 0.6322107 0.5209999 0.5450383 0.56899893 0.57999676 0.63221085]
[0.8307419 0.8389672 0.8307419 0.52178 0.8676685 0.6657336 0.8302373 0.8302373 0.71123666 0.9999997 0.90771246 0.7281144 0.92810285 0.91639596 0.8802501 0.87471557 0.87538886 0.81963456 0.8929715 0.7578739 0.78082067 0.8697746 0.6910405 0.7117437 0.7230792 0.76230574 0.8697746 ]
[0.81419826 0.857327 0.81419826 0.5083705 0.85227776 0.6337553 0.83562505 0.83562505 0.69850993 0.90771246 0.99999964 0.70446587 0.9315243 0.9168912 0.86058056 0.8765669 0.8651335 0.81145656 0.88462746 0.74118024 0.75948143 0.89197445 0.71208715 0.7344578 0.7225717 0.7662735 0.8919746 ]
[0.6374712 0.6234149 0.6374712 0.398942 0.6739739 0.5504907 0.6221237 0.6221237 0.8369531 0.7281144 0.70446587 0.99999976 0.66207373 0.68659014 0.65807515 0.6298983 0.6747511 0.87252617 0.6466544 0.51533735 0.5732719 0.63448083 0.52766246 0.55876106 0.55747974 0.5793586 0.63448095]
[0.8245374 0.8761772 0.8245374 0.5108931 0.8800736 0.6301753 0.8545418 0.8545418 0.65119946 0.92810285 0.9315243 0.66207373 0.9999999 0.94111204 0.88618505 0.9041345 0.89091444 0.7883019 0.9084687 0.777225 0.79239863 0.9119593 0.73292863 0.7568027 0.75360227 0.78208256 0.9119594 ]
[0.8241689 0.8670326 0.8241689 0.510211 0.86149526 0.62920094 0.84186196 0.84186196 0.69157386 0.91639596 0.9168912 0.68659014 0.94111204 1.0000002 0.89440835 0.89375377 0.8769033 0.8133756 0.90793395 0.75559366 0.7747133 0.90919685 0.71951413 0.74062705 0.7593056 0.7634593 0.9091969 ]
[0.831389 0.82293093 0.831389 0.52802634 0.83860457 0.5923427 0.8306247 0.8306247 0.66333497 0.8802501 0.86058056 0.65807515 0.88618505 0.89440835 0.99999994 0.85702413 0.8269938 0.751443 0.85734594 0.7376772 0.7602627 0.85636234 0.6782212 0.6645 0.70088637 0.73874605 0.8563624 ]
[0.80719995 0.8355209 0.80719995 0.5151931 0.8117925 0.58859944 0.82440686 0.82440686 0.61924314 0.87471557 0.8765669 0.6298983 0.9041345 0.89375377 0.85702413 0.9999997 0.839803 0.7365606 0.86909854 0.74807763 0.7717918 0.86787635 0.70528626 0.7176048 0.72711736 0.76155126 0.8678764 ]
[0.7949877 0.8339151 0.7949877 0.47658658 0.81525815 0.57966816 0.78368676 0.78368676 0.66605884 0.87538886 0.8651335 0.6747511 0.89091444 0.8769033 0.8269938 0.839803 0.9999999 0.76884997 0.8620076 0.73409176 0.76318955 0.8545507 0.6581099 0.6721416 0.68116874 0.7164775 0.85455096]
[0.75092304 0.7266394 0.75092304 0.4826646 0.7845891 0.6389692 0.7475042 0.7475042 0.8616868 0.81963456 0.81145656 0.87252617 0.7883019 0.8133756 0.751443 0.7365606 0.76884997 1.0000001 0.75564164 0.65042603 0.6801579 0.7719303 0.62492216 0.6544717 0.6603399 0.68892753 0.7719303 ]
[0.81994474 0.8489965 0.81994474 0.5050362 0.8415675 0.5962889 0.8467376 0.8467376 0.6464678 0.8929715 0.88462746 0.6466544 0.9084687 0.90793395 0.85734594 0.86909854 0.8620076 0.75564164 0.9999997 0.7560915 0.77470833 0.88723993 0.67966473 0.7056488 0.7103435 0.7525664 0.88724 ]
[0.7428277 0.70156056 0.7428277 0.48537073 0.7549336 0.5214226 0.71127236 0.71127236 0.5561294 0.7578739 0.74118024 0.51533735 0.777225 0.75559366 0.7376772 0.74807763 0.73409176 0.65042603 0.7560915 1.0000001 0.78799903 0.7719135 0.59431696 0.6467062 0.62154204 0.6658057 0.7719135 ]
[0.7000743 0.75185215 0.7000743 0.45844573 0.7456371 0.5089321 0.7102442 0.7102442 0.59378827 0.78082067 0.75948143 0.5732719 0.79239863 0.7747133 0.7602627 0.7717918 0.76318955 0.6801579 0.77470833 0.78799903 0.99999964 0.8047993 0.6355604 0.6356298 0.64314365 0.69244677 0.80479944]
[0.8053789 0.88372236 0.8053789 0.4799559 0.8229513 0.6175796 0.81487095 0.81487095 0.6322107 0.8697746 0.89197445 0.63448083 0.9119593 0.90919685 0.85636234 0.86787635 0.8545507 0.7719303 0.88723993 0.7719135 0.8047993 0.99999964 0.703817 0.735477 0.74691284 0.7951079 0.9999998 ]
[0.635957 0.6657079 0.635957 0.4058717 0.6644239 0.50291127 0.6450256 0.6450256 0.5209999 0.6910405 0.71208715 0.52766246 0.73292863 0.71951413 0.6782212 0.70528626 0.6581099 0.62492216 0.67966473 0.59431696 0.6355604 0.703817 0.99999976 0.70958424 0.63818777 0.6390589 0.703817 ]
[0.62807846 0.70834875 0.62807846 0.38223872 0.718372 0.55395496 0.65376866 0.65376866 0.5450383 0.7117437 0.7344578 0.55876106 0.7568027 0.74062705 0.6645 0.7176048 0.6721416 0.6544717 0.7056488 0.6467062 0.6356298 0.735477 0.70958424 0.9999999 0.6995633 0.6653451 0.7354771 ]
[0.6570054 0.6859916 0.6570054 0.3794523 0.6911726 0.5313476 0.6563195 0.6563195 0.56899893 0.7230792 0.7225717 0.55747974 0.75360227 0.7593056 0.70088637 0.72711736 0.68116874 0.6603399 0.7103435 0.62154204 0.64314365 0.74691284 0.63818777 0.6995633 1. 0.80506074 0.7469129 ]
[0.7266982 0.72761977 0.7266982 0.46438563 0.7194252 0.5690954 0.7173031 0.7173031 0.57999676 0.76230574 0.7662735 0.5793586 0.78208256 0.7634593 0.73874605 0.76155126 0.7164775 0.68892753 0.7525664 0.6658057 0.69244677 0.7951079 0.6390589 0.6653451 0.80506074 0.99999994 0.7951081 ]
[0.8053791 0.88372236 0.8053791 0.47995603 0.8229513 0.6175796 0.81487113 0.81487113 0.63221085 0.8697746 0.8919746 0.63448095 0.9119594 0.9091969 0.8563624 0.8678764 0.85455096 0.7719303 0.88724 0.7719135 0.80479944 0.9999998 0.703817 0.7354771 0.7469129 0.7951081 1. ]]

Universal Sentence Encoder Multilingual

USE Multilingual groups the poxes together, but separates the COVID-related terms as before:

[[0.9999999 0.7207215 0.82120216 0.71995676 0.6857072 0.59487367 0.5988335 0.60757196 0.4457674 0.5879319 0.59545267 0.5452746 0.59204715 0.6131211 0.5949613 0.6295995 0.5613395 0.59699273 0.5349544 0.61145806 0.6323831 0.65415657 0.58398086 0.59696096 0.46686554 0.6308423 0.6541567 ]
[0.7207215 0.9999999 0.59261036 0.48832345 0.50546235 0.40929037 0.41894194 0.47093427 0.29841784 0.4189276 0.44034842 0.40152192 0.42534047 0.42928416 0.42874587 0.4492793 0.4101564 0.41427058 0.365385 0.44531462 0.44466048 0.5031216 0.39379734 0.44284576 0.32173896 0.45672596 0.50312155]
[0.82120216 0.59261036 1. 0.5190454 0.6805379 0.5651685 0.5763235 0.5736334 0.48582894 0.5933505 0.61765075 0.57455933 0.6392578 0.6494119 0.61463714 0.6304213 0.6016471 0.62028426 0.40117395 0.4872479 0.53980005 0.67723167 0.59154516 0.58089054 0.4971072 0.61667556 0.67723197]
[0.71995676 0.48832345 0.5190454 0.9999997 0.4629021 0.34069842 0.40075248 0.38530487 0.32732615 0.40079919 0.44495377 0.42551553 0.40320426 0.38989642 0.40682548 0.42467847 0.37594825 0.40516728 0.4121337 0.4621848 0.4529204 0.36593485 0.3828326 0.41410607 0.29229513 0.43006963 0.3659348 ]
[0.6857072 0.50546235 0.6805379 0.4629021 0.99999994 0.6419104 0.5233386 0.53878605 0.4322348 0.544706 0.5091215 0.4786961 0.50906944 0.5551076 0.5162577 0.5407818 0.52651715 0.5386413 0.40030584 0.46585602 0.4487756 0.53336823 0.5287264 0.4840697 0.38149518 0.53484315 0.53336835]
[0.59487367 0.40929037 0.5651685 0.34069842 0.6419104 0.99999994 0.4297968 0.45281237 0.31976157 0.44687682 0.37326962 0.33964002 0.43528607 0.45933282 0.40828377 0.44761464 0.46099076 0.4335791 0.2808507 0.33528432 0.30402243 0.47626537 0.47772366 0.4776553 0.33285886 0.48112625 0.4762654 ]
[0.5988335 0.41894194 0.5763235 0.40075248 0.5233386 0.4297968 0.99999994 0.83077407 0.7776183 0.8878738 0.83926594 0.7734074 0.84528744 0.858432 0.8502274 0.8792598 0.82383144 0.916767 0.645622 0.7611323 0.59588003 0.6979548 0.64715207 0.630672 0.5638774 0.6392963 0.6979547 ]
[0.60757196 0.47093427 0.5736334 0.38530487 0.53878605 0.45281237 0.83077407 1.0000001 0.649063 0.7988867 0.7789049 0.7192391 0.78904504 0.77756894 0.7392921 0.8117187 0.77932477 0.8084171 0.60789174 0.73448044 0.5944536 0.7459731 0.6460377 0.647731 0.531525 0.6532179 0.7459732 ]
[0.4457674 0.29841784 0.48582894 0.32732615 0.4322348 0.31976157 0.7776183 0.649063 0.9999999 0.9031694 0.7416105 0.7636895 0.7305068 0.73607326 0.78929555 0.7608279 0.6881863 0.7967796 0.5359708 0.6238383 0.5365676 0.5402738 0.5353099 0.49981084 0.47749195 0.5252813 0.5402738 ]
[0.5879319 0.4189276 0.5933505 0.40079919 0.544706 0.44687682 0.8878738 0.7988867 0.9031694 0.99999964 0.83774054 0.78205955 0.8355707 0.84598947 0.8803387 0.8972825 0.7819587 0.86460644 0.62867785 0.7458583 0.6043446 0.7010174 0.65905344 0.6509682 0.5666703 0.65423447 0.7010174 ]
[0.59545267 0.44034842 0.61765075 0.44495377 0.5091215 0.37326962 0.83926594 0.7789049 0.7416105 0.83774054 0.99999976 0.93431556 0.85001886 0.8590909 0.8550352 0.8758724 0.8037646 0.8507329 0.5863745 0.6969483 0.56663835 0.66784143 0.61174816 0.6282535 0.5380446 0.61110175 0.66784155]
[0.5452746 0.40152192 0.57455933 0.42551553 0.4786961 0.33964002 0.7734074 0.7192391 0.7636895 0.78205955 0.93431556 0.99999964 0.78614295 0.79851764 0.79335225 0.80564934 0.75064456 0.8243294 0.5168406 0.6199757 0.5284693 0.59359276 0.5608642 0.56482655 0.4666228 0.5357374 0.59359276]
[0.59204715 0.42534047 0.6392578 0.40320426 0.50906944 0.43528607 0.84528744 0.78904504 0.7305068 0.8355707 0.85001886 0.78614295 0.99999976 0.8699488 0.83032686 0.8633895 0.822821 0.84342307 0.5900886 0.69202495 0.58679515 0.70848644 0.66455877 0.63105917 0.57224226 0.6497664 0.7084864 ]
[0.6131211 0.42928416 0.6494119 0.38989642 0.5551076 0.45933282 0.858432 0.77756894 0.73607326 0.84598947 0.8590909 0.79851764 0.8699488 0.9999999 0.8731102 0.9016911 0.83080804 0.87829363 0.603969 0.69341135 0.6025345 0.73408675 0.7042948 0.6569109 0.592307 0.68211114 0.7340869 ]
[0.5949613 0.42874587 0.61463714 0.40682548 0.5162577 0.40828377 0.8502274 0.7392921 0.78929555 0.8803387 0.8550352 0.79335225 0.83032686 0.8731102 0.99999964 0.91820115 0.8205528 0.8708916 0.61449134 0.7403703 0.580437 0.67692065 0.66474485 0.64598954 0.5969106 0.6701026 0.6769208 ]
[0.6295995 0.4492793 0.6304213 0.42467847 0.5407818 0.44761464 0.8792598 0.8117187 0.7608279 0.8972825 0.8758724 0.80564934 0.8633895 0.9016911 0.91820115 0.9999999 0.81702197 0.8909526 0.66290534 0.77357626 0.6073794 0.7249055 0.7069598 0.71684426 0.6067718 0.70790285 0.7249056 ]
[0.5613395 0.4101564 0.6016471 0.37594825 0.52651715 0.46099076 0.82383144 0.77932477 0.6881863 0.7819587 0.8037646 0.75064456 0.822821 0.83080804 0.8205528 0.81702197 0.99999976 0.84592426 0.56115335 0.6748905 0.5484414 0.6539873 0.6384015 0.5670447 0.53797746 0.60926545 0.6539873 ]
[0.59699273 0.41427058 0.62028426 0.40516728 0.5386413 0.4335791 0.916767 0.8084171 0.7967796 0.86460644 0.8507329 0.8243294 0.84342307 0.87829363 0.8708916 0.8909526 0.84592426 0.9999999 0.64829206 0.74852425 0.6074729 0.71327686 0.671964 0.64646065 0.5604477 0.6532545 0.713277 ]
[0.5349544 0.365385 0.40117395 0.4121337 0.40030584 0.2808507 0.645622 0.60789174 0.5359708 0.62867785 0.5863745 0.5168406 0.5900886 0.603969 0.61449134 0.66290534 0.56115335 0.64829206 0.9999996 0.8708097 0.8291038 0.55202496 0.52969646 0.56569064 0.4672041 0.56620264 0.5520251 ]
[0.61145806 0.44531462 0.4872479 0.4621848 0.46585602 0.33528432 0.7611323 0.73448044 0.6238383 0.7458583 0.6969483 0.6199757 0.69202495 0.69341135 0.7403703 0.77357626 0.6748905 0.74852425 0.8708097 0.99999994 0.7048626 0.6685601 0.60545576 0.63868773 0.56182075 0.6615715 0.66856015]
[0.6323831 0.44466048 0.53980005 0.4529204 0.4487756 0.30402243 0.59588003 0.5944536 0.5365676 0.6043446 0.56663835 0.5284693 0.58679515 0.6025345 0.580437 0.6073794 0.5484414 0.6074729 0.8291038 0.7048626 0.99999976 0.6310631 0.5858315 0.5976344 0.5124699 0.61940086 0.63106304]
[0.65415657 0.5031216 0.67723167 0.36593485 0.53336823 0.47626537 0.6979548 0.7459731 0.5402738 0.7010174 0.66784143 0.59359276 0.70848644 0.73408675 0.67692065 0.7249055 0.6539873 0.71327686 0.55202496 0.6685601 0.6310631 1. 0.7117485 0.71735704 0.6336831 0.74981165 1.0000002 ]
[0.58398086 0.39379734 0.59154516 0.3828326 0.5287264 0.47772366 0.64715207 0.6460377 0.5353099 0.65905344 0.61174816 0.5608642 0.66455877 0.7042948 0.66474485 0.7069598 0.6384015 0.671964 0.52969646 0.60545576 0.5858315 0.7117485 1.0000001 0.7765062 0.7156094 0.80099404 0.7117485 ]
[0.59696096 0.44284576 0.58089054 0.41410607 0.4840697 0.4776553 0.630672 0.647731 0.49981084 0.6509682 0.6282535 0.56482655 0.63105917 0.6569109 0.64598954 0.71684426 0.5670447 0.64646065 0.56569064 0.63868773 0.5976344 0.71735704 0.7765062 1. 0.6689001 0.78340036 0.71735716]
[0.46686554 0.32173896 0.4971072 0.29229513 0.38149518 0.33285886 0.5638774 0.531525 0.47749195 0.5666703 0.5380446 0.4666228 0.57224226 0.592307 0.5969106 0.6067718 0.53797746 0.5604477 0.4672041 0.56182075 0.5124699 0.6336831 0.7156094 0.6689001 0.9999997 0.80670214 0.6336832 ]
[0.6308423 0.45672596 0.61667556 0.43006963 0.53484315 0.48112625 0.6392963 0.6532179 0.5252813 0.65423447 0.61110175 0.5357374 0.6497664 0.68211114 0.6701026 0.70790285 0.60926545 0.6532545 0.56620264 0.6615715 0.61940086 0.74981165 0.80099404 0.78340036 0.80670214 1.0000001 0.74981165]
[0.6541567 0.50312155 0.67723197 0.3659348 0.53336835 0.4762654 0.6979547 0.7459732 0.5402738 0.7010174 0.66784155 0.59359276 0.7084864 0.7340869 0.6769208 0.7249056 0.6539873 0.713277 0.5520251 0.66856015 0.63106304 1.0000002 0.7117485 0.71735716 0.6336832 0.74981165 1.0000005 ]]

Universal Sentence Encoder Multilingual Large

The Large edition separates the fictional "goldenpox" and the post-cutoff "mpox" terms from the rest of the poxes, though it similarly distinguishes cow pox and horsepox:

[[1. 0.8351847 0.8523491 0.75095403 0.7145127 0.54878116 0.5829059 0.6432543 0.5196743 0.57760346 0.6490097 0.5544507 0.6282238 0.6284413 0.65173745 0.61864185 0.5838454 0.5991397 0.6330856 0.62543637 0.6439827 0.6438022 0.59773016 0.62458056 0.63617575 0.5936153 0.6438023 ]
[0.8351847 0.9999999 0.73150873 0.6149156 0.60459316 0.46899694 0.51475 0.5578767 0.45639405 0.5064437 0.56560504 0.4870023 0.55506897 0.55219364 0.5699967 0.5474656 0.518088 0.52542436 0.57486254 0.5677249 0.5599065 0.56360674 0.5108197 0.53140855 0.55487365 0.4911605 0.5636067 ]
[0.8523491 0.73150873 0.99999964 0.60560596 0.7582839 0.59167004 0.6269313 0.6801766 0.58619964 0.6500489 0.750524 0.64395535 0.69406676 0.7093065 0.75274235 0.7086887 0.6487831 0.6835145 0.59326714 0.5939302 0.64437354 0.69707584 0.644213 0.6632817 0.685235 0.6109558 0.69707596]
[0.75095403 0.6149156 0.60560596 0.99999964 0.5124145 0.29437852 0.354175 0.3890046 0.30959135 0.3523897 0.4291649 0.35863388 0.3964574 0.38049632 0.40578052 0.37415475 0.37032646 0.35936582 0.40473682 0.3972556 0.41783524 0.34791604 0.4055192 0.38838598 0.3848564 0.3946018 0.3479161 ]
[0.7145127 0.60459316 0.7582839 0.5124145 0.99999976 0.6491165 0.516762 0.6083838 0.50790256 0.5407222 0.61045927 0.5547459 0.5673599 0.6356853 0.64431596 0.559518 0.5581312 0.55116284 0.5193423 0.51546454 0.53951025 0.5738002 0.5369637 0.5457853 0.53556764 0.52087283 0.5738002 ]
[0.54878116 0.46899694 0.59167004 0.29437852 0.6491165 1. 0.44722953 0.5357858 0.45714998 0.4738658 0.4956259 0.47473335 0.48069018 0.5559473 0.5487107 0.52451956 0.47200674 0.5141431 0.40344054 0.43606102 0.43395644 0.5546119 0.47105563 0.5226495 0.4987443 0.47669885 0.5546119 ]
[0.5829059 0.51475 0.6269313 0.354175 0.516762 0.44722953 0.99999976 0.9187179 0.71093327 0.77644277 0.77765816 0.70256907 0.76396435 0.74973524 0.7739563 0.75750744 0.7738644 0.88190377 0.7253412 0.7595017 0.6220616 0.6872669 0.61968434 0.6305778 0.6650919 0.6093697 0.6872668 ]
[0.6432543 0.5578767 0.6801766 0.3890046 0.6083838 0.5357858 0.9187179 1. 0.77395684 0.83702123 0.83905625 0.7646481 0.82346976 0.8399876 0.86927533 0.835716 0.8178985 0.8868916 0.7527927 0.7923307 0.6986451 0.839943 0.7089914 0.7505976 0.7496309 0.697947 0.83994305]
[0.5196743 0.45639405 0.58619964 0.30959135 0.50790256 0.45714998 0.71093327 0.77395684 0.9999999 0.97976935 0.70431644 0.68209696 0.7743273 0.73770165 0.7956387 0.78732383 0.68903035 0.7549354 0.6362806 0.64449024 0.6220211 0.6676147 0.6122613 0.65519786 0.6672867 0.61650264 0.6676147 ]
[0.57760346 0.5064437 0.6500489 0.3523897 0.5407222 0.4738658 0.77644277 0.83702123 0.97976935 0.9999999 0.76839215 0.70436996 0.8248649 0.7888332 0.8450179 0.8375196 0.7545786 0.8074645 0.6871537 0.70075685 0.6599511 0.72081566 0.65455484 0.69128746 0.71726096 0.65733004 0.72081566]
[0.6490097 0.56560504 0.750524 0.4291649 0.61045927 0.4956259 0.77765816 0.83905625 0.70431644 0.76839215 1.0000001 0.94740707 0.83935297 0.8756122 0.8744271 0.8726045 0.7891488 0.8268709 0.7002846 0.7167959 0.6795603 0.7464835 0.6793875 0.70157236 0.728691 0.66834563 0.74648345]
[0.5544507 0.4870023 0.64395535 0.35863388 0.5547459 0.47473335 0.70256907 0.7646481 0.68209696 0.70436996 0.94740707 0.99999976 0.77251995 0.82575977 0.7978401 0.7946593 0.69515413 0.7505847 0.62329215 0.6361701 0.6258872 0.6819864 0.6289589 0.6581162 0.6648482 0.6196743 0.68198633]
[0.6282238 0.55506897 0.69406676 0.3964574 0.5673599 0.48069018 0.76396435 0.82346976 0.7743273 0.8248649 0.83935297 0.77251995 0.9999999 0.83666646 0.86922145 0.87185216 0.77944183 0.81767654 0.70322376 0.7033812 0.667139 0.7203765 0.67647463 0.7062284 0.7300868 0.65919113 0.7203765 ]
[0.6284413 0.55219364 0.7093065 0.38049632 0.6356853 0.5559473 0.74973524 0.8399876 0.73770165 0.7888332 0.8756122 0.82575977 0.83666646 0.9999999 0.8652384 0.8348219 0.7843807 0.8117502 0.681585 0.6999948 0.6933515 0.7829901 0.70191324 0.73499525 0.76097095 0.68612057 0.7829901 ]
[0.65173745 0.5699967 0.75274235 0.40578052 0.64431596 0.5487107 0.7739563 0.86927533 0.7956387 0.8450179 0.8744271 0.7978401 0.86922145 0.8652384 1. 0.9235793 0.82071495 0.84667337 0.7310364 0.7515713 0.6958433 0.7873404 0.7194387 0.7583201 0.7725272 0.698967 0.7873403 ]
[0.61864185 0.5474656 0.7086887 0.37415475 0.559518 0.52451956 0.75750744 0.835716 0.78732383 0.8375196 0.8726045 0.7946593 0.87185216 0.8348219 0.9235793 0.9999997 0.7833806 0.83377355 0.7044041 0.7217612 0.66099393 0.75758684 0.6801146 0.740041 0.7463908 0.67304504 0.7575867 ]
[0.5838454 0.518088 0.6487831 0.37032646 0.5581312 0.47200674 0.7738644 0.8178985 0.68903035 0.7545786 0.7891488 0.69515413 0.77944183 0.7843807 0.82071495 0.7833806 1. 0.8379657 0.7082366 0.7346119 0.6349607 0.70278674 0.64817584 0.65593356 0.68464947 0.6173514 0.7027867 ]
[0.5991397 0.52542436 0.6835145 0.35936582 0.55116284 0.5141431 0.88190377 0.8868916 0.7549354 0.8074645 0.8268709 0.7505847 0.81767654 0.8117502 0.84667337 0.83377355 0.8379657 1.0000002 0.76054406 0.81229514 0.6625129 0.75755 0.6716341 0.7107491 0.7317765 0.6529139 0.7575501 ]
[0.6330856 0.57486254 0.59326714 0.40473682 0.5193423 0.40344054 0.7253412 0.7527927 0.6362806 0.6871537 0.7002846 0.62329215 0.70322376 0.681585 0.7310364 0.7044041 0.7082366 0.76054406 0.99999976 0.9265783 0.8058119 0.6750472 0.60470855 0.6409343 0.6573508 0.63035846 0.67504734]
[0.62543637 0.5677249 0.5939302 0.3972556 0.51546454 0.43606102 0.7595017 0.7923307 0.64449024 0.70075685 0.7167959 0.6361701 0.7033812 0.6999948 0.7515713 0.7217612 0.7346119 0.81229514 0.9265783 1.0000002 0.6510763 0.7170604 0.62906086 0.66778165 0.67740357 0.62587357 0.7170603 ]
[0.6439827 0.5599065 0.64437354 0.41783524 0.53951025 0.43395644 0.6220616 0.6986451 0.6220211 0.6599511 0.6795603 0.6258872 0.667139 0.6933515 0.6958433 0.66099393 0.6349607 0.6625129 0.8058119 0.6510763 0.9999999 0.7172004 0.660173 0.6930577 0.6974673 0.66925716 0.7172004 ]
[0.6438022 0.56360674 0.69707584 0.34791604 0.5738002 0.5546119 0.6872669 0.839943 0.6676147 0.72081566 0.7464835 0.6819864 0.7203765 0.7829901 0.7873404 0.75758684 0.70278674 0.75755 0.6750472 0.7170604 0.7172004 1.0000002 0.7720468 0.82220614 0.79158926 0.7355832 1.0000001 ]
[0.59773016 0.5108197 0.644213 0.4055192 0.5369637 0.47105563 0.61968434 0.7089914 0.6122613 0.65455484 0.6793875 0.6289589 0.67647463 0.70191324 0.7194387 0.6801146 0.64817584 0.6716341 0.60470855 0.62906086 0.660173 0.7720468 0.99999976 0.81599236 0.7522756 0.7695292 0.7720468 ]
[0.62458056 0.53140855 0.6632817 0.38838598 0.5457853 0.5226495 0.6305778 0.7505976 0.65519786 0.69128746 0.70157236 0.6581162 0.7062284 0.73499525 0.7583201 0.740041 0.65593356 0.7107491 0.6409343 0.66778165 0.6930577 0.82220614 0.81599236 1.0000001 0.79744244 0.78083885 0.82220626]
[0.63617575 0.55487365 0.685235 0.3848564 0.53556764 0.4987443 0.6650919 0.7496309 0.6672867 0.71726096 0.728691 0.6648482 0.7300868 0.76097095 0.7725272 0.7463908 0.68464947 0.7317765 0.6573508 0.67740357 0.6974673 0.79158926 0.7522756 0.79744244 0.9999997 0.7507284 0.79158926]
[0.5936153 0.4911605 0.6109558 0.3946018 0.52087283 0.47669885 0.6093697 0.697947 0.61650264 0.65733004 0.66834563 0.6196743 0.65919113 0.68612057 0.698967 0.67304504 0.6173514 0.6529139 0.63035846 0.62587357 0.66925716 0.7355832 0.7695292 0.78083885 0.7507284 1. 0.7355832 ]
[0.6438023 0.5636067 0.69707596 0.3479161 0.5738002 0.5546119 0.6872668 0.83994305 0.6676147 0.72081566 0.74648345 0.68198633 0.7203765 0.7829901 0.7873403 0.7575867 0.7027867 0.7575501 0.67504734 0.7170603 0.7172004 1.0000001 0.7720468 0.82220626 0.79158926 0.7355832 1.0000001 ]]

LaBSE

in keeping with LaBSE's optimization for translation bitexts, it does a poor job of clustering the sentences:

[[1.0000001 0.91992 0.92475677 0.9112461 0.8219066 0.62867236 0.568953 0.6072147 0.5885311 0.6307774 0.69014436 0.6389989 0.63476706 0.64813685 0.67477095 0.6541803 0.65823877 0.6606028 0.5330102 0.5180655 0.6231262 0.6063999 0.593815 0.6163126 0.5646518 0.5873128 0.6063999 ]
[0.91992 0.9999999 0.8386487 0.8463794 0.7998132 0.6322749 0.5386876 0.56711775 0.5717776 0.62833214 0.6532795 0.5969014 0.612015 0.61240643 0.6586669 0.62513393 0.61496377 0.6143346 0.5438548 0.49885428 0.5818071 0.55202615 0.5746836 0.59036434 0.52675825 0.56680787 0.55202615]
[0.92475677 0.8386487 1. 0.821698 0.8595256 0.6610849 0.60502607 0.640374 0.66672134 0.71421885 0.7892065 0.7257491 0.7267991 0.7406823 0.72422075 0.6950491 0.74792117 0.7380375 0.5178977 0.51862085 0.6091934 0.67198205 0.6487494 0.6925787 0.6556504 0.66262984 0.67198205]
[0.9112461 0.8463794 0.821698 1. 0.7180522 0.46262905 0.47815174 0.4953264 0.47923502 0.5181632 0.5783195 0.53727394 0.51708657 0.53221923 0.5692448 0.5499023 0.548217 0.544338 0.47469404 0.44007236 0.52417165 0.4747963 0.50533056 0.51642895 0.48002192 0.4927751 0.4747963 ]
[0.8219066 0.7998132 0.8595256 0.7180522 0.9999999 0.7133876 0.55591 0.5655142 0.6551802 0.7215379 0.7692159 0.69511616 0.73486394 0.7489766 0.7684728 0.70451695 0.731791 0.70700186 0.47734857 0.48306364 0.5654678 0.5857557 0.68398 0.6800759 0.62944984 0.6843945 0.5857557 ]
[0.62867236 0.6322749 0.6610849 0.46262905 0.7133876 0.99999976 0.4743239 0.5201576 0.50614524 0.5815285 0.60209113 0.51668435 0.58327675 0.6024022 0.61854184 0.5933531 0.5837735 0.6467403 0.42305198 0.45647 0.49166846 0.59147376 0.5298849 0.6073997 0.54377955 0.585407 0.59147376]
[0.568953 0.5386876 0.60502607 0.47815174 0.55591 0.4743239 0.9999999 0.9089774 0.7838187 0.7935398 0.7529907 0.7457826 0.72093976 0.7329906 0.75689346 0.7509927 0.7091371 0.82024056 0.61540294 0.6612878 0.6715151 0.6646726 0.6669087 0.68550426 0.68866456 0.6334004 0.6646726 ]
[0.6072147 0.56711775 0.640374 0.4953264 0.5655142 0.5201576 0.9089774 0.9999999 0.7942246 0.8008314 0.76457787 0.7522914 0.7522726 0.7430953 0.74571097 0.7368842 0.706718 0.83282787 0.6308334 0.6912861 0.7326219 0.80700105 0.6823557 0.73413146 0.726964 0.67185706 0.80700105]
[0.5885311 0.5717776 0.66672134 0.47923502 0.6551802 0.50614524 0.7838187 0.7942246 1.0000002 0.9632375 0.9137313 0.9350431 0.8837334 0.8955846 0.86995476 0.8542851 0.8272581 0.8945917 0.5702162 0.6188045 0.66743416 0.66352206 0.7322695 0.75235045 0.76357204 0.687784 0.66352206]
[0.6307774 0.62833214 0.71421885 0.5181632 0.7215379 0.5815285 0.7935398 0.8008314 0.9632375 0.9999999 0.93500185 0.89557356 0.91695404 0.91698766 0.90968084 0.9087953 0.86352825 0.8894628 0.61331034 0.6172856 0.6836293 0.69604313 0.7821398 0.79094744 0.7922783 0.7255029 0.69604313]
[0.69014436 0.6532795 0.7892065 0.5783195 0.7692159 0.60209113 0.7529907 0.76457787 0.9137313 0.93500185 1.0000001 0.9667212 0.95104885 0.978096 0.933649 0.89201367 0.92118406 0.9407616 0.62265277 0.6510653 0.7180668 0.75125027 0.81747085 0.8379106 0.8399967 0.78284776 0.75125027]
[0.6389989 0.5969014 0.7257491 0.53727394 0.69511616 0.51668435 0.7457826 0.7522914 0.9350431 0.89557356 0.9667212 1.0000005 0.9023637 0.9506526 0.88237065 0.83286244 0.8704814 0.92512983 0.5834292 0.6444202 0.6865173 0.6991337 0.7549307 0.77960163 0.7986737 0.7282515 0.6991337 ]
[0.63476706 0.612015 0.7267991 0.51708657 0.73486394 0.58327675 0.72093976 0.7522726 0.8837334 0.91695404 0.95104885 0.9023637 0.99999976 0.935251 0.91316694 0.87624216 0.89959663 0.884992 0.625017 0.63119936 0.7028092 0.7133472 0.7782788 0.7972411 0.8084366 0.750375 0.7133472 ]
[0.64813685 0.61240643 0.7406823 0.53221923 0.7489766 0.6024022 0.7329906 0.7430953 0.8955846 0.91698766 0.978096 0.9506526 0.935251 0.9999999 0.917457 0.8791614 0.9088272 0.92853296 0.61707175 0.6610774 0.7131795 0.7472091 0.80266255 0.834043 0.83860856 0.7836471 0.7472091 ]
[0.67477095 0.6586669 0.72422075 0.5692448 0.7684728 0.61854184 0.75689346 0.74571097 0.86995476 0.90968084 0.933649 0.88237065 0.91316694 0.917457 0.99999964 0.9177434 0.87577444 0.91483533 0.63438797 0.62294656 0.7072668 0.6882435 0.80674094 0.80599344 0.7875751 0.7412748 0.6882435 ]
[0.6541803 0.62513393 0.6950491 0.5499023 0.70451695 0.5933531 0.7509927 0.7368842 0.8542851 0.9087953 0.89201367 0.83286244 0.87624216 0.8791614 0.9177434 1. 0.8557569 0.8714839 0.6477722 0.6478846 0.67176944 0.65851086 0.7874953 0.7799224 0.7788384 0.7142794 0.65851086]
[0.65823877 0.61496377 0.74792117 0.548217 0.731791 0.5837735 0.7091371 0.706718 0.8272581 0.86352825 0.92118406 0.8704814 0.89959663 0.9088272 0.87577444 0.8557569 0.9999999 0.88875914 0.5748967 0.61995625 0.6355546 0.7140643 0.79269385 0.7899744 0.8177309 0.76136696 0.7140643 ]
[0.6606028 0.6143346 0.7380375 0.544338 0.70700186 0.6467403 0.82024056 0.83282787 0.8945917 0.8894628 0.9407616 0.92512983 0.884992 0.92853296 0.91483533 0.8714839 0.88875914 0.99999976 0.5985683 0.69573337 0.72021925 0.7946219 0.8106075 0.85189354 0.8391279 0.7993032 0.7946219 ]
[0.5330102 0.5438548 0.5178977 0.47469404 0.47734857 0.42305198 0.61540294 0.6308334 0.5702162 0.61331034 0.62265277 0.5834292 0.625017 0.61707175 0.63438797 0.6477722 0.5748967 0.5985683 0.9999999 0.8559097 0.79795724 0.55329543 0.6586378 0.6323016 0.64368284 0.54127395 0.55329543]
[0.5180655 0.49885428 0.51862085 0.44007236 0.48306364 0.45647 0.6612878 0.6912861 0.6188045 0.6172856 0.6510653 0.6444202 0.63119936 0.6610774 0.62294656 0.6478846 0.61995625 0.69573337 0.8559097 1.0000002 0.7526361 0.6606872 0.62202024 0.6669638 0.6550919 0.5840906 0.6606872 ]
[0.6231262 0.5818071 0.6091934 0.52417165 0.5654678 0.49166846 0.6715151 0.7326219 0.66743416 0.6836293 0.7180668 0.6865173 0.7028092 0.7131795 0.7072668 0.67176944 0.6355546 0.72021925 0.79795724 0.7526361 0.99999976 0.6874359 0.72244686 0.72391266 0.6901013 0.6266204 0.6874359 ]
[0.6063999 0.55202615 0.67198205 0.4747963 0.5857557 0.59147376 0.6646726 0.80700105 0.66352206 0.69604313 0.75125027 0.6991337 0.7133472 0.7472091 0.6882435 0.65851086 0.7140643 0.7946219 0.55329543 0.6606872 0.6874359 1.0000002 0.6808613 0.7833464 0.75538456 0.7367694 1.0000002 ]
[0.593815 0.5746836 0.6487494 0.50533056 0.68398 0.5298849 0.6669087 0.6823557 0.7322695 0.7821398 0.81747085 0.7549307 0.7782788 0.80266255 0.80674094 0.7874953 0.79269385 0.8106075 0.6586378 0.62202024 0.72244686 0.6808613 1. 0.83667576 0.8522926 0.80187905 0.6808613 ]
[0.6163126 0.59036434 0.6925787 0.51642895 0.6800759 0.6073997 0.68550426 0.73413146 0.75235045 0.79094744 0.8379106 0.77960163 0.7972411 0.834043 0.80599344 0.7799224 0.7899744 0.85189354 0.6323016 0.6669638 0.72391266 0.7833464 0.83667576 1. 0.8669844 0.83116996 0.7833464 ]
[0.5646518 0.52675825 0.6556504 0.48002192 0.62944984 0.54377955 0.68866456 0.726964 0.76357204 0.7922783 0.8399967 0.7986737 0.8084366 0.83860856 0.7875751 0.7788384 0.8177309 0.8391279 0.64368284 0.6550919 0.6901013 0.75538456 0.8522926 0.8669844 1. 0.80855227 0.75538456]
[0.5873128 0.56680787 0.66262984 0.4927751 0.6843945 0.585407 0.6334004 0.67185706 0.687784 0.7255029 0.78284776 0.7282515 0.750375 0.7836471 0.7412748 0.7142794 0.76136696 0.7993032 0.54127395 0.5840906 0.6266204 0.7367694 0.80187905 0.83116996 0.80855227 1. 0.7367694 ]
[0.6063999 0.55202615 0.67198205 0.4747963 0.5857557 0.59147376 0.6646726 0.80700105 0.66352206 0.69604313 0.75125027 0.6991337 0.7133472 0.7472091 0.6882435 0.65851086 0.7140643 0.7946219 0.55329543 0.6606872 0.6874359 1.0000002 0.6808613 0.7833464 0.75538456 0.7367694 1.0000002 ]]

The GDELT Project

Embedding Models: Clustering COVID-19 Versus "Poxes"

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