{"id":"https://openalex.org/W4402672087","doi":"https://doi.org/10.18653/v1/2024.acl-long.64","title":"Linguistically Conditioned Semantic Textual Similarity","display_name":"Linguistically Conditioned Semantic Textual Similarity","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402672087","doi":"https://doi.org/10.18653/v1/2024.acl-long.64"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2024.acl-long.64","doi":"https://doi.org/10.18653/v1/2024.acl-long.64","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.acl-long.64","pdf_url":"https://aclanthology.org/2024.acl-long.64.pdf","source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2024.acl-long.64.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038194411","display_name":"Jingxuan Tu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I6902469","display_name":"Brandeis University","ror":"https://ror.org/05abbep66","country_code":"US","type":"education","lineage":["https://openalex.org/I6902469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingxuan Tu","raw_affiliation_strings":["Department of Computer Science Brandeis University Waltham , Massachusetts , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Brandeis University Waltham , Massachusetts , USA","institution_ids":["https://openalex.org/I6902469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101299408","display_name":"Keer Xu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I6902469","display_name":"Brandeis University","ror":"https://ror.org/05abbep66","country_code":"US","type":"education","lineage":["https://openalex.org/I6902469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keer Xu","raw_affiliation_strings":["Department of Computer Science Brandeis University Waltham , Massachusetts , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Brandeis University Waltham , Massachusetts , USA","institution_ids":["https://openalex.org/I6902469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101375062","display_name":"Liulu Yue","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I6902469","display_name":"Brandeis University","ror":"https://ror.org/05abbep66","country_code":"US","type":"education","lineage":["https://openalex.org/I6902469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liulu Yue","raw_affiliation_strings":["Department of Computer Science Brandeis University Waltham , Massachusetts , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Brandeis University Waltham , Massachusetts , USA","institution_ids":["https://openalex.org/I6902469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049120341","display_name":"Bingyang Ye","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I6902469","display_name":"Brandeis University","ror":"https://ror.org/05abbep66","country_code":"US","type":"education","lineage":["https://openalex.org/I6902469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bingyang Ye","raw_affiliation_strings":["Department of Computer Science Brandeis University Waltham , Massachusetts , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Brandeis University Waltham , Massachusetts , USA","institution_ids":["https://openalex.org/I6902469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041605161","display_name":"Kyeongmin Rim","orcid":"https://orcid.org/0000-0001-8688-4086","observed_orcids":["https://orcid.org/0000-0001-8688-4086"]},"institutions":[{"id":"https://openalex.org/I6902469","display_name":"Brandeis University","ror":"https://ror.org/05abbep66","country_code":"US","type":"education","lineage":["https://openalex.org/I6902469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyeongmin Rim","raw_affiliation_strings":["Department of Computer Science Brandeis University Waltham , Massachusetts , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Brandeis University Waltham , Massachusetts , USA","institution_ids":["https://openalex.org/I6902469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012141433","display_name":"James D. Pustejovsky","orcid":"https://orcid.org/0000-0003-2233-9761","observed_orcids":["https://orcid.org/0000-0003-2233-9761"]},"institutions":[{"id":"https://openalex.org/I6902469","display_name":"Brandeis University","ror":"https://ror.org/05abbep66","country_code":"US","type":"education","lineage":["https://openalex.org/I6902469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Pustejovsky","raw_affiliation_strings":["Department of Computer Science Brandeis University Waltham , Massachusetts , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Brandeis University Waltham , Massachusetts , USA","institution_ids":["https://openalex.org/I6902469"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I6902469"],"apc_list":null,"apc_paid":null,"fwci":1.4502,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.84531288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1161","last_page":"1172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9639000296592712,"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":0.9639000296592712,"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":0.03009999915957451,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.0034000000450760126,"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/annotation-errors","display_name":"annotation errors","score":0.7129999995231628},{"id":"https://openalex.org/keywords/question-answering","display_name":"question answering","score":0.5709999799728394},{"id":"https://openalex.org/keywords/entity-types","display_name":"entity types","score":0.7200000286102295},{"id":"https://openalex.org/keywords/typed-feature-structures","display_name":"typed feature structures","score":0.9229999780654907}],"concepts":[{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.7140985131263733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7044762969017029},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6491925120353699},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5696113705635071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5450627207756042},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4117642045021057},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3954225778579712},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.32910823822021484},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09843021631240845},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.08474478125572205},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/2024.acl-long.64","doi":"https://doi.org/10.18653/v1/2024.acl-long.64","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.acl-long.64","pdf_url":"https://aclanthology.org/2024.acl-long.64.pdf","source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2406.03673","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.03673","pdf_url":"https://arxiv.org/pdf/2406.03673","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2406.03673","doi":"https://doi.org/10.48550/arxiv.2406.03673","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2406.03673","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.acl-long.64","doi":"https://doi.org/10.18653/v1/2024.acl-long.64","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.acl-long.64","pdf_url":"https://aclanthology.org/2024.acl-long.64.pdf","source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G8418166701","display_name":"EAGER: Integrating Dense Paraphrased-Enriched Representations with Large Language Models","funder_award_id":"2326985","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310134","display_name":"Brandeis University","ror":"https://ror.org/05abbep66"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402672087.pdf","grobid_xml":"https://content.openalex.org/works/W4402672087.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4416035439","https://openalex.org/W4378465328","https://openalex.org/W3000378960","https://openalex.org/W2473493527","https://openalex.org/W3212545603","https://openalex.org/W2739351760","https://openalex.org/W2942911521","https://openalex.org/W2152180407","https://openalex.org/W4385859634","https://openalex.org/W2785698693"],"abstract_inverted_index":{"Semantic":[0],"textual":[1],"similarity":[2,13,43],"(STS)":[3],"is":[4,144,202],"a":[5,15,29,46,110,129,161,206],"fundamental":[6],"NLP":[7],"task":[8,108,118,131],"that":[9,55,64,143,164,199],"measures":[10],"the":[11,22,27,41,49,56,76,88,92,96,102,107,116,121,126,133,151,167,172,177,180,184,189,200],"semantic":[12],"between":[14],"pair":[16],"of":[17,51,87,104,193],"sentences.In":[18],"order":[19],"to":[20,39,124,146,204],"reduce":[21],"inherent":[23],"ambiguity":[24],"posed":[25],"from":[26,61,91,150],"sentences,":[28],"recent":[30],"work":[31],"called":[32],"Conditional":[33],"STS":[34],"(C-STS)":[35],"has":[36],"been":[37],"proposed":[38],"measure":[40],"sentences'":[42],"conditioned":[44],"on":[45,69,85,171,188],"certain":[47],"aspect.Despite":[48],"popularity":[50],"C-STS,":[52],"we":[53,74,114,136,182],"find":[54],"current":[57],"C-STS":[58,77,117,152,173,211],"dataset":[59,112],"suffers":[60],"various":[62],"issues":[63],"could":[65],"impede":[66],"proper":[67],"evaluation":[68],"this":[70,72],"task.In":[71],"paper,":[73],"reannotate":[75],"validation":[78],"set":[79],"and":[80,101],"observe":[81],"an":[82,138],"annotator":[83],"discrepancy":[84],"55%":[86],"instances":[89],"resulting":[90],"annotation":[93,148,186],"errors":[94,149],"in":[95,106,197],"original":[97],"label,":[98],"ill-defined":[99],"conditions,":[100],"lack":[103],"clarity":[105],"definition.After":[109],"thorough":[111],"analysis,":[113],"improve":[115],"by":[119,175],"leveraging":[120],"models'":[122],"capability":[123],"understand":[125],"conditions":[127],"under":[128],"QA":[130],"setting.With":[132],"generated":[134],"answers,":[135],"present":[137],"automatic":[139],"error":[140],"identification":[141],"pipeline":[142],"able":[145,203],"identify":[147],"data":[153,174,212],"with":[154,179,213],"over":[155,169],"80%":[156],"F1":[157],"score.We":[158],"also":[159],"propose":[160],"new":[162,214],"method":[163],"largely":[165],"improves":[166],"performance":[168],"baselines":[170],"training":[176],"models":[178],"answers.Finally":[181],"discuss":[183],"conditionality":[185],"based":[187],"typed-feature":[190],"structure":[191],"(TFS)":[192],"entity":[194],"types.We":[195],"show":[196],"examples":[198],"TFS":[201],"provide":[205],"linguistic":[207],"foundation":[208],"for":[209],"constructing":[210],"conditions.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2024-09-21T00:00:00"}
