{"id":"https://openalex.org/W2932132863","doi":"https://doi.org/10.18653/v1/s19-1004","title":"Composition of Sentence Embeddings: Lessons from Statistical Relational Learning","display_name":"Composition of Sentence Embeddings: Lessons from Statistical Relational Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2932132863","doi":"https://doi.org/10.18653/v1/s19-1004","mag":"2932132863"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s19-1004","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-1004","pdf_url":"https://www.aclweb.org/anthology/S19-1004.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S19-1004.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068059558","display_name":"Damien Sileo","orcid":"https://orcid.org/0000-0002-3274-291X"},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555"]},{"id":"https://openalex.org/I3131550300","display_name":"Universit\u00e9 Toulouse-I-Capitole","ror":"https://ror.org/0443n9e75","country_code":"FR","type":"education","lineage":["https://openalex.org/I3131550300"]},{"id":"https://openalex.org/I4210094304","display_name":"Synapse Biomedical (United States)","ror":"https://ror.org/00p5rpb50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210094304"]},{"id":"https://openalex.org/I4210119061","display_name":"Institut de Recherche en Informatique de Toulouse","ror":"https://ror.org/01rx4qw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I205747304","https://openalex.org/I205747304","https://openalex.org/I4210119061","https://openalex.org/I4210152422","https://openalex.org/I4387153255","https://openalex.org/I4405258862","https://openalex.org/I4405259414"]},{"id":"https://openalex.org/I4210152422","display_name":"Universit\u00e9 Toulouse - Jean Jaur\u00e8s","ror":"https://ror.org/04ezk3x31","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210152422"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR","US"],"is_corresponding":true,"raw_author_name":"Damien Sileo","raw_affiliation_strings":["IRIT, University of Toulouse, France","Synapse Dveloppement, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"IRIT, University of Toulouse, France","institution_ids":["https://openalex.org/I4210119061","https://openalex.org/I134560555","https://openalex.org/I3131550300","https://openalex.org/I4210160189","https://openalex.org/I4210152422"]},{"raw_affiliation_string":"Synapse Dveloppement, Toulouse, France","institution_ids":["https://openalex.org/I4210094304"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104084087","display_name":"Tim Van-de-Cruys","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210119061","display_name":"Institut de Recherche en Informatique de Toulouse","ror":"https://ror.org/01rx4qw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I205747304","https://openalex.org/I205747304","https://openalex.org/I4210119061","https://openalex.org/I4210152422","https://openalex.org/I4387153255","https://openalex.org/I4405258862","https://openalex.org/I4405259414"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Tim Van De Cruys","raw_affiliation_strings":["IRIT, CNRS, France"],"affiliations":[{"raw_affiliation_string":"IRIT, CNRS, France","institution_ids":["https://openalex.org/I4210119061","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058662559","display_name":"Camille Pradel","orcid":"https://orcid.org/0000-0001-9944-563X"},"institutions":[{"id":"https://openalex.org/I4210094304","display_name":"Synapse Biomedical (United States)","ror":"https://ror.org/00p5rpb50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210094304"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Camille Pradel","raw_affiliation_strings":["Synapse Dveloppement, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"Synapse Dveloppement, Toulouse, France","institution_ids":["https://openalex.org/I4210094304"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005803234","display_name":"Philippe M\u00fcller","orcid":"https://orcid.org/0000-0002-6765-4020"},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555"]},{"id":"https://openalex.org/I3131550300","display_name":"Universit\u00e9 Toulouse-I-Capitole","ror":"https://ror.org/0443n9e75","country_code":"FR","type":"education","lineage":["https://openalex.org/I3131550300"]},{"id":"https://openalex.org/I4210119061","display_name":"Institut de Recherche en Informatique de Toulouse","ror":"https://ror.org/01rx4qw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I205747304","https://openalex.org/I205747304","https://openalex.org/I4210119061","https://openalex.org/I4210152422","https://openalex.org/I4387153255","https://openalex.org/I4405258862","https://openalex.org/I4405259414"]},{"id":"https://openalex.org/I4210152422","display_name":"Universit\u00e9 Toulouse - Jean Jaur\u00e8s","ror":"https://ror.org/04ezk3x31","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210152422"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Philippe Muller","raw_affiliation_strings":["IRIT, University of Toulouse, France"],"affiliations":[{"raw_affiliation_string":"IRIT, University of Toulouse, France","institution_ids":["https://openalex.org/I4210119061","https://openalex.org/I134560555","https://openalex.org/I3131550300","https://openalex.org/I4210160189","https://openalex.org/I4210152422"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068059558"],"corresponding_institution_ids":["https://openalex.org/I134560555","https://openalex.org/I3131550300","https://openalex.org/I4210094304","https://openalex.org/I4210119061","https://openalex.org/I4210152422","https://openalex.org/I4210160189"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02690236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7498100996017456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7477377653121948},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.7123445272445679},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6689412593841553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6524252891540527},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.567535936832428},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.509786069393158},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4987053871154785},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4958229959011078},{"id":"https://openalex.org/keywords/composition","display_name":"Composition (language)","score":0.4912979006767273},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.47437959909439087},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46284860372543335},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44800809025764465},{"id":"https://openalex.org/keywords/logical-consequence","display_name":"Logical consequence","score":0.4457698464393616},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.34974440932273865},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.20126017928123474},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.15659424662590027},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.142683207988739},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.0848124623298645}],"concepts":[{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7498100996017456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7477377653121948},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.7123445272445679},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6689412593841553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6524252891540527},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.567535936832428},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.509786069393158},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4987053871154785},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4958229959011078},{"id":"https://openalex.org/C40231798","wikidata":"https://www.wikidata.org/wiki/Q1333743","display_name":"Composition (language)","level":2,"score":0.4912979006767273},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.47437959909439087},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46284860372543335},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44800809025764465},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.4457698464393616},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.34974440932273865},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.20126017928123474},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.15659424662590027},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.142683207988739},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.0848124623298645},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/s19-1004","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-1004","pdf_url":"https://www.aclweb.org/anthology/S19-1004.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1904.02464","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.02464","pdf_url":"https://arxiv.org/pdf/1904.02464","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2932132863","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/1904.02464.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1904.02464","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1904.02464","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/s19-1004","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-1004","pdf_url":"https://www.aclweb.org/anthology/S19-1004.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7900000214576721,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2932132863.pdf","grobid_xml":"https://content.openalex.org/works/W2932132863.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W68132019","https://openalex.org/W205829674","https://openalex.org/W1840435438","https://openalex.org/W1860880244","https://openalex.org/W2092853148","https://openalex.org/W2104246439","https://openalex.org/W2109462987","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2153579005","https://openalex.org/W2168565044","https://openalex.org/W2250189634","https://openalex.org/W2296076036","https://openalex.org/W2306229986","https://openalex.org/W2432356473","https://openalex.org/W2508865106","https://openalex.org/W2551396370","https://openalex.org/W2561577985","https://openalex.org/W2593104319","https://openalex.org/W2607892599","https://openalex.org/W2608787653","https://openalex.org/W2610858497","https://openalex.org/W2612900438","https://openalex.org/W2612953412","https://openalex.org/W2613264999","https://openalex.org/W2756386045","https://openalex.org/W2761988601","https://openalex.org/W2763948453","https://openalex.org/W2776762669","https://openalex.org/W2798358706","https://openalex.org/W2798665661","https://openalex.org/W2803992439","https://openalex.org/W2950726992","https://openalex.org/W2963167206","https://openalex.org/W2963241825","https://openalex.org/W2963341956","https://openalex.org/W2963355447","https://openalex.org/W2963372062","https://openalex.org/W2963432357","https://openalex.org/W2963450615","https://openalex.org/W2963644595","https://openalex.org/W2963719234","https://openalex.org/W2963846996","https://openalex.org/W2963918774","https://openalex.org/W2963958374","https://openalex.org/W2964140943","https://openalex.org/W4205995506","https://openalex.org/W4247292761","https://openalex.org/W6921959370"],"related_works":["https://openalex.org/W2962880962","https://openalex.org/W2953934011","https://openalex.org/W3036683340","https://openalex.org/W3213259532","https://openalex.org/W2976980910","https://openalex.org/W2988944673","https://openalex.org/W3201579280","https://openalex.org/W3132311534","https://openalex.org/W2989867050","https://openalex.org/W2963958374","https://openalex.org/W2920732287","https://openalex.org/W3038301776","https://openalex.org/W2575491249","https://openalex.org/W2913142708","https://openalex.org/W3122822969","https://openalex.org/W3116645343","https://openalex.org/W2105946482","https://openalex.org/W3160844635","https://openalex.org/W2740358059","https://openalex.org/W2986701177"],"abstract_inverted_index":{"Various":[0],"NLP":[1],"problems":[2,38],"-such":[3],"as":[4,58],"the":[5,18,22,61,64,76,161,164],"prediction":[6,106],"of":[7,17,24,30,55,68,78,163],"sentence":[8,169],"similarity,":[9],"entailment,":[10],"and":[11,47,149,172],"discourse":[12],"relations":[13,26,88],"-are":[14],"all":[15],"instances":[16],"same":[19,65],"general":[20],"task:":[21],"modeling":[23],"semantic":[25],"between":[27,89,107],"a":[28,72],"pair":[29],"textual":[31,140],"elements.":[32],"A":[33],"popular":[34],"model":[35],"for":[36,60,125],"such":[37,119],"is":[39,85],"to":[40,86,138],"embed":[41],"sentences":[42],"into":[43],"fixed":[44],"size":[45],"vectors,":[46],"use":[48],"composition":[49,67],"functions":[50],"(e.g.":[51,128],"concatenation":[52],"or":[53],"sum)":[54],"those":[56],"vectors":[57],"features":[59],"prediction.":[62,174],"At":[63],"time,":[66],"embeddings":[69],"has":[70],"been":[71],"main":[73],"focus":[74],"within":[75],"field":[77],"Statistical":[79],"Relational":[80],"Learning":[81],"(SRL)":[82],"whose":[83],"goal":[84],"predict":[87],"entities":[90],"(typically":[91],"from":[92,112,153],"knowledge":[93],"base":[94],"triples).":[95],"In":[96],"this":[97],"article,":[98],"we":[99],"show":[100,117],"that":[101,118,144],"previous":[102],"work":[103],"on":[104,134],"relation":[105,173],"texts":[108],"implicitly":[109],"uses":[110],"compositions":[111,120],"baseline":[113],"SRL":[114,136],"models.":[115],"We":[116,132],"are":[121,146],"not":[122],"expressive":[123],"enough":[124],"several":[126],"tasks":[127],"natural":[129],"language":[130],"inference).":[131],"build":[133],"recent":[135],"models":[137,158],"address":[139],"relational":[141],"problems,":[142],"showing":[143],"they":[145],"more":[147],"expressive,":[148],"can":[150],"alleviate":[151],"issues":[152],"simpler":[154],"compositions.":[155],"The":[156],"resulting":[157],"significantly":[159],"improve":[160],"state":[162],"art":[165],"in":[166],"both":[167],"transferable":[168],"representation":[170],"learning":[171]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2022-07-29T00:00:00"}