{"id":"https://openalex.org/W2336426024","doi":"https://doi.org/10.1109/ialp.2015.7451537","title":"Recognizing entailment in Chinese texts with feature combination","display_name":"Recognizing entailment in Chinese texts with feature combination","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2336426024","doi":"https://doi.org/10.1109/ialp.2015.7451537","mag":"2336426024"},"language":"en","primary_location":{"id":"doi:10.1109/ialp.2015.7451537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2015.7451537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021380974","display_name":"Maofu Liu","orcid":"https://orcid.org/0000-0002-3732-4354"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maofu Liu","raw_affiliation_strings":["College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102196559","display_name":"Yifan Guo","orcid":"https://orcid.org/0009-0003-6200-2159"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Guo","raw_affiliation_strings":["College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085804436","display_name":"Liqiang Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Liqiang Nie","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"82","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9969000220298767,"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/textual-entailment","display_name":"Textual entailment","score":0.9398088455200195},{"id":"https://openalex.org/keywords/logical-consequence","display_name":"Logical consequence","score":0.766295313835144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7638187408447266},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7486861944198608},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7346024513244629},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5611826181411743},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.49422505497932434},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4596017003059387},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4226205348968506},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.29328685998916626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07778066396713257}],"concepts":[{"id":"https://openalex.org/C95318506","wikidata":"https://www.wikidata.org/wiki/Q6588467","display_name":"Textual entailment","level":3,"score":0.9398088455200195},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.766295313835144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7638187408447266},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7486861944198608},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7346024513244629},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5611826181411743},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.49422505497932434},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4596017003059387},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4226205348968506},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.29328685998916626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07778066396713257},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp.2015.7451537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2015.7451537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7799999713897705,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1496099853","https://openalex.org/W1649228660","https://openalex.org/W1897507002","https://openalex.org/W2061433145","https://openalex.org/W2065249013","https://openalex.org/W2076784334","https://openalex.org/W2115127435","https://openalex.org/W2125177801","https://openalex.org/W2132308301","https://openalex.org/W2140298320","https://openalex.org/W2145815109","https://openalex.org/W2154474435","https://openalex.org/W2161915178","https://openalex.org/W2202774208","https://openalex.org/W2394783078","https://openalex.org/W2396027506","https://openalex.org/W2405360358","https://openalex.org/W2406293061","https://openalex.org/W3105439152","https://openalex.org/W4211148418","https://openalex.org/W6629689592","https://openalex.org/W6679047688","https://openalex.org/W6684045233","https://openalex.org/W6687919494","https://openalex.org/W6712249573","https://openalex.org/W6712259472","https://openalex.org/W6713484072","https://openalex.org/W6713642249","https://openalex.org/W7020886168"],"related_works":["https://openalex.org/W2169644218","https://openalex.org/W12963412","https://openalex.org/W2250460949","https://openalex.org/W3158371345","https://openalex.org/W3141423438","https://openalex.org/W2071098659","https://openalex.org/W2627035043","https://openalex.org/W4385571113","https://openalex.org/W2937401546","https://openalex.org/W2741782787"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,78,120,127,132],"natural":[4],"language":[5],"processing":[6],"community":[7],"has":[8,26],"been":[9,27],"manifesting":[10],"increasing":[11],"interest":[12],"in":[13,33,46,63],"textual":[14,30,137],"entailment":[15,31,37],"recognition":[16,32],"among":[17],"English":[18],"texts.":[19,35],"Yet,":[20],"so":[21],"far,":[22],"not":[23],"much":[24,141],"attention":[25],"paid":[28],"to":[29,59,106],"Chinese":[34,64,93,96,99,102,136],"Recognizing":[36],"can":[38],"be":[39],"cast":[40],"as":[41],"a":[42,49,140],"classification":[43,50,108,124],"problem,":[44],"and":[45,75,101],"this":[47],"paper,":[48],"model":[51,125],"based":[52,86],"on":[53,87,113,148],"support":[54],"vector":[55],"machine":[56],"is":[57],"constructed":[58],"detect":[60],"semantic":[61],"relations":[62],"text":[65],"pair,":[66],"including":[67],"forward":[68],"entailment,":[69,71,73],"reverse":[70],"bidirectional":[72],"contradiction":[74],"independence":[76],"for":[77],"multi-class":[79,149],"task.":[80,150],"We":[81],"introduce":[82],"different":[83],"feature":[84,128],"combinations":[85],"four":[88,133],"kinds":[89,134],"of":[90,122,135],"features,":[91,105],"containing":[92],"surface":[94],"textual,":[95],"lexical":[97],"semantic,":[98],"syntactic":[100],"linguistic":[103],"phenomena":[104],"our":[107,123],"model.":[109],"The":[110],"experimental":[111],"results":[112],"NTCIR":[114],"RITE-3":[115],"data":[116],"collection":[117],"show":[118],"that":[119],"accuracy":[121],"using":[126],"combination":[129],"with":[130],"all":[131,145],"features":[138],"achieves":[139],"better":[142],"performance":[143],"than":[144],"other":[146],"systems":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}