{"id":"https://openalex.org/W2139596890","doi":"https://doi.org/10.3115/1654536.1654557","title":"The role of sentence structure in recognizing textual entailment","display_name":"The role of sentence structure in recognizing textual entailment","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2139596890","doi":"https://doi.org/10.3115/1654536.1654557","mag":"2139596890"},"language":"en","primary_location":{"id":"doi:10.3115/1654536.1654557","doi":"https://doi.org/10.3115/1654536.1654557","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1654536.1654557","pdf_url":"https://dl.acm.org/doi/pdf/10.5555/1654536.1654557","source":{"id":"https://openalex.org/S7407115817","display_name":"ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (RTE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing - RTE '07","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.5555/1654536.1654557","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043442839","display_name":"Catherine L. Blake","orcid":"https://orcid.org/0000-0001-9516-2683","observed_orcids":["https://orcid.org/0000-0001-9516-2683"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Catherine Blake","raw_affiliation_strings":["University of North Carolina at Chapel Hill, Chapel Hill, NC","Univ. of North Carolina at Chapel Hill, Chapel Hill, NC;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, NC","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"Univ. of North Carolina at Chapel Hill, Chapel Hill, NC;","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5043442839"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":1.2993,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.81262883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"101","last_page":"101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9814000129699707,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9814000129699707,"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/T10028","display_name":"Topic Modeling","score":0.0142000000923872,"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/T10034","display_name":"Syntax, Semantics, Linguistic Variation","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/natural-language-inference","display_name":"natural language inference","score":0.9950000047683716},{"id":"https://openalex.org/keywords/sentence-structure","display_name":"sentence structure","score":0.9610000252723694},{"id":"https://openalex.org/keywords/syntactic-features","display_name":"syntactic features","score":0.9959999918937683},{"id":"https://openalex.org/keywords/paraphrasing","display_name":"paraphrase","score":0.75},{"id":"https://openalex.org/keywords/decision-rules","display_name":"decision rules","score":0.6990000009536743},{"id":"https://openalex.org/keywords/prior-knowledge","display_name":"prior knowledge","score":0.5759999752044678},{"id":"https://openalex.org/keywords/gazetteers","display_name":"gazetteers","score":0.6679999828338623},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.9580000042915344}],"concepts":[{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.8935939073562622},{"id":"https://openalex.org/C95318506","wikidata":"https://www.wikidata.org/wiki/Q6588467","display_name":"Textual entailment","level":3,"score":0.8853391408920288},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.836490273475647},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.8034403324127197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7696366310119629},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.7451892495155334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7359360456466675},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.49477094411849976},{"id":"https://openalex.org/C2986991398","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntactic structure","level":3,"score":0.46715253591537476},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4515114426612854},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/1654536.1654557","doi":"https://doi.org/10.3115/1654536.1654557","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1654536.1654557","pdf_url":"https://dl.acm.org/doi/pdf/10.5555/1654536.1654557","source":{"id":"https://openalex.org/S7407115817","display_name":"ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (RTE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing - RTE '07","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.129.1827","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.1827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ils.unc.edu/~cablake/Papers/BlakeRTEPreprint.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.145.8511","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.145.8511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://acl.ldc.upenn.edu/w/w07/W07-1417.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/1654536.1654557","doi":"https://doi.org/10.3115/1654536.1654557","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1654536.1654557","pdf_url":"https://dl.acm.org/doi/pdf/10.5555/1654536.1654557","source":{"id":"https://openalex.org/S7407115817","display_name":"ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (RTE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing - RTE '07","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2139596890.pdf","grobid_xml":"https://content.openalex.org/works/W2139596890.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W73274768","https://openalex.org/W1515852583","https://openalex.org/W1516535577","https://openalex.org/W2081580037","https://openalex.org/W2124602574","https://openalex.org/W2130158090","https://openalex.org/W2167072947","https://openalex.org/W2396767181","https://openalex.org/W4285719527","https://openalex.org/W4386506836","https://openalex.org/W6602999377"],"related_works":["https://openalex.org/W7099736755","https://openalex.org/W2385228184","https://openalex.org/W2032842323","https://openalex.org/W7097749672","https://openalex.org/W7095341331","https://openalex.org/W2015921576","https://openalex.org/W2524870937","https://openalex.org/W7097825134","https://openalex.org/W2159655235","https://openalex.org/W2159920073"],"abstract_inverted_index":{"Recent":[0],"research":[1],"suggests":[2],"that":[3,46,87],"sentence":[4,88],"structure":[5,89],"can":[6,91],"improve":[7,32,92],"the":[8,42,56,100],"accuracy":[9,71,94],"of":[10,58,72,79],"recognizing":[11],"textual":[12],"entailments":[13],"and":[14,23,61,74,76,81,85],"paraphrasing.":[15],"Although":[16],"background":[17],"knowledge":[18,26],"such":[19],"as":[20],"gazetteers,":[21],"WordNet":[22],"custom":[24],"built":[25],"bases":[27],"are":[28],"also":[29],"likely":[30],"to":[31,40,97],"performance,":[33],"our":[34],"goal":[35],"in":[36,48,69,83],"this":[37],"paper":[38],"is":[39],"characterize":[41],"syntactic":[43],"features":[44],"alone":[45,90],"aid":[47],"accurate":[49],"entailment":[50,93],"prediction.":[51],"We":[52],"describe":[53],"candidate":[54],"features,":[55],"role":[57],"machine":[59],"learning,":[60],"two":[62],"final":[63],"decision":[64],"rules.":[65],"These":[66],"rules":[67],"resulted":[68],"an":[70],"60.50":[73],"65.87%":[75],"average":[77],"precision":[78],"58.97":[80],"60.96%":[82],"RTE3Test":[84],"suggest":[86],"by":[95],"9.25":[96],"14.62%":[98],"over":[99],"baseline":[101],"majority":[102],"class.":[103]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2016-06-24T00:00:00"}