{"id":"https://openalex.org/W7140108883","doi":"https://doi.org/10.18653/v1/2026.eacl-long.91","title":"Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs?","display_name":"Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs?","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140108883","doi":"https://doi.org/10.18653/v1/2026.eacl-long.91"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2026.eacl-long.91","doi":"https://doi.org/10.18653/v1/2026.eacl-long.91","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-long.91","pdf_url":"https://aclanthology.org/2026.eacl-long.91.pdf","source":{"id":"https://openalex.org/S4306418011","display_name":"Conference of the European Chapter of the Association for Computational Linguistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th Conference of the European Chapter 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":"bronze","oa_url":"https://aclanthology.org/2026.eacl-long.91.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5122147609","display_name":"Kai Sun","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kai Sun","raw_affiliation_strings":["Meta Reality Labs , 2 FAIR , Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs , 2 FAIR , Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5159676286","display_name":"Yin Huang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin Huang","raw_affiliation_strings":["Meta Reality Labs , 2 FAIR , Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs , 2 FAIR , Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036145134","display_name":"Srishti Mehra","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Srishti Mehra","raw_affiliation_strings":["Meta Reality Labs , 2 FAIR , Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs , 2 FAIR , Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037374629","display_name":"Mohammad Kachuee","orcid":"https://orcid.org/0000-0002-0099-3466","observed_orcids":["https://orcid.org/0000-0002-0099-3466"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammad Kachuee","raw_affiliation_strings":["Meta Reality Labs , 2 FAIR , Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs , 2 FAIR , Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065674779","display_name":"Xilun Chen","orcid":"https://orcid.org/0009-0002-2876-3109","observed_orcids":["https://orcid.org/0009-0002-2876-3109","https://orcid.org/0000-0003-2184-6163"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xilun Chen","raw_affiliation_strings":["Meta Reality Labs , 2 FAIR , Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs , 2 FAIR , Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030801967","display_name":"Ren-jie Tao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Renjie Tao","raw_affiliation_strings":["Meta Reality Labs , 2 FAIR , Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs , 2 FAIR , Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021691940","display_name":"Zhaojiang Lin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhaojiang Lin","raw_affiliation_strings":["Meta Reality Labs , 2 FAIR , Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs , 2 FAIR , Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120058523","display_name":"Andrea Jessee","orcid":"https://orcid.org/0009-0007-2241-8634","observed_orcids":["https://orcid.org/0009-0007-2241-8634"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrea Jessee","raw_affiliation_strings":["Meta Reality Labs , 2 FAIR , Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs , 2 FAIR , Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030527963","display_name":"Nirav Shah","orcid":"https://orcid.org/0009-0007-8464-8021","observed_orcids":["https://orcid.org/0009-0007-8464-8021"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nirav Shah","raw_affiliation_strings":["Meta Reality Labs , 2 FAIR , Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs , 2 FAIR , Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130326515","display_name":"Alex L Betty","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alex L Betty","raw_affiliation_strings":["Meta Reality Labs , 2 FAIR , Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs , 2 FAIR , Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130347710","display_name":"Yue Liu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Liu","raw_affiliation_strings":["Meta Reality Labs , 2 FAIR , Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs , 2 FAIR , Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130359223","display_name":"Anuj Kumar","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anuj Kumar","raw_affiliation_strings":["Meta Reality Labs , 2 FAIR , Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs , 2 FAIR , Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134393930","display_name":"Wen-tau Yih","orcid":"https://orcid.org/0000-0003-4263-395X","observed_orcids":["https://orcid.org/0000-0003-4263-395X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen-tau Yih","raw_affiliation_strings":["Meta Reality Labs , 2 FAIR , Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs , 2 FAIR , Meta","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130337837","display_name":"Xin Luna Dong","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Luna Dong","raw_affiliation_strings":["Meta Reality Labs , 2 FAIR , Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs , 2 FAIR , Meta","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.4354,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.94976015,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2055","last_page":"2074"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.7387999892234802,"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":0.7387999892234802,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.19290000200271606,"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":0.01360000018030405,"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/knowledge-extraction","display_name":"knowledge extraction","score":0.9950000047683716},{"id":"https://openalex.org/keywords/question-answering","display_name":"question answering","score":0.9639999866485596},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.9760000109672546},{"id":"https://openalex.org/keywords/information-extraction","display_name":"information extraction","score":0.4050000011920929}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7225000262260437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5619000196456909},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4115000069141388},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3614000082015991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3517000079154968},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.33489999175071716},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.29649999737739563},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C62360110","wikidata":"https://www.wikidata.org/wiki/Q96777007","display_name":"Circumscription","level":2,"score":0.257099986076355}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/2026.eacl-long.91","doi":"https://doi.org/10.18653/v1/2026.eacl-long.91","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-long.91","pdf_url":"https://aclanthology.org/2026.eacl-long.91.pdf","source":{"id":"https://openalex.org/S4306418011","display_name":"Conference of the European Chapter of the Association for Computational Linguistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2509.25107","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.25107","pdf_url":"https://arxiv.org/pdf/2509.25107","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2509.25107","doi":"https://doi.org/10.48550/arxiv.2509.25107","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.25107","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.eacl-long.91","doi":"https://doi.org/10.18653/v1/2026.eacl-long.91","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-long.91","pdf_url":"https://aclanthology.org/2026.eacl-long.91.pdf","source":{"id":"https://openalex.org/S4306418011","display_name":"Conference of the European Chapter of the Association for Computational Linguistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7140108883.pdf","grobid_xml":"https://content.openalex.org/works/W7140108883.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7106170995","https://openalex.org/W7134253313","https://openalex.org/W6964671770","https://openalex.org/W4395483120","https://openalex.org/W7135448579","https://openalex.org/W4402670520","https://openalex.org/W7156271290","https://openalex.org/W4402678047","https://openalex.org/W4405957138","https://openalex.org/W7110903642"],"abstract_inverted_index":{"The":[0],"advent":[1],"of":[2,24,34,56,97],"Large":[3],"Language":[4],"Models":[5],"(LLMs)":[6],"has":[7],"significantly":[8],"advanced":[9],"web-based":[10,102],"Question":[11],"Answering":[12],"(QA)":[13],"systems":[14],"over":[15],"semi-structured":[16],"content,":[17],"raising":[18],"questions":[19],"about":[20],"the":[21,32,94],"continued":[22],"utility":[23],"knowledge":[25,47,63,80,98],"extraction":[26,36,48,64,100],"for":[27,69,107],"question":[28],"answering.This":[29],"paper":[30],"investigates":[31],"value":[33],"triple":[35,99],"in":[37,101],"this":[38],"new":[39],"paradigm":[40],"by":[41],"extending":[42],"an":[43],"existing":[44],"benchmark":[45],"with":[46,84],"annotations":[49],"and":[50,53,87,104,115],"evaluating":[51],"commercial":[52],"open-source":[54],"LLMs":[55,75],"varying":[57],"sizes.Our":[58],"results":[59],"show":[60],"that":[61],"web-scale":[62],"remains":[65],"a":[66],"challenging":[67],"task":[68],"LLMs.Despite":[70],"achieving":[71],"high":[72],"QA":[73,103],"accuracy,":[74],"can":[76],"still":[77],"benefit":[78],"from":[79],"extraction,":[81],"through":[82],"augmentation":[83],"extracted":[85],"triples":[86],"multi-task":[88],"learning.These":[89],"findings":[90],"provide":[91],"insights":[92],"into":[93],"evolving":[95],"role":[96],"highlight":[105],"strategies":[106],"maximizing":[108],"LLM":[109],"effectiveness":[110],"across":[111],"different":[112],"model":[113],"sizes":[114],"resource":[116],"settings.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2026-03-24T00:00:00"}