{"id":"https://openalex.org/W3128530704","doi":"https://doi.org/10.18653/v1/2016.gwc-1.11","title":"Word Substitution in Short Answer Extraction: A WordNet-based Approach","display_name":"Word Substitution in Short Answer Extraction: A WordNet-based Approach","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W3128530704","doi":"https://doi.org/10.18653/v1/2016.gwc-1.11","mag":"3128530704"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2016.gwc-1.11","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2016.gwc-1.11","pdf_url":"https://aclanthology.org/2016.gwc-1.11.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 8th Global WordNet Conference (GWC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2016.gwc-1.11.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080666039","display_name":"Qingqing Cai","orcid":"https://orcid.org/0000-0001-8745-132X"},"institutions":[{"id":"https://openalex.org/I4210092442","display_name":"Ipsos (United States)","ror":"https://ror.org/00g5g8212","country_code":"US","type":"company","lineage":["https://openalex.org/I4210092442"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qingqing Cai","raw_affiliation_strings":["IPsoft / New York , NY , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IPsoft / New York , NY , USA","institution_ids":["https://openalex.org/I4210092442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057625092","display_name":"James Gung","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092442","display_name":"Ipsos (United States)","ror":"https://ror.org/00g5g8212","country_code":"US","type":"company","lineage":["https://openalex.org/I4210092442"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Gung","raw_affiliation_strings":["IPsoft / New York , NY , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IPsoft / New York , NY , USA","institution_ids":["https://openalex.org/I4210092442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042868535","display_name":"Maochen Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092442","display_name":"Ipsos (United States)","ror":"https://ror.org/00g5g8212","country_code":"US","type":"company","lineage":["https://openalex.org/I4210092442"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maochen Guan","raw_affiliation_strings":["IPsoft / New York , NY , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IPsoft / New York , NY , USA","institution_ids":["https://openalex.org/I4210092442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018587603","display_name":"Gerald Kurlandski","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092442","display_name":"Ipsos (United States)","ror":"https://ror.org/00g5g8212","country_code":"US","type":"company","lineage":["https://openalex.org/I4210092442"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gerald Kurlandski","raw_affiliation_strings":["IPsoft / New York , NY , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IPsoft / New York , NY , USA","institution_ids":["https://openalex.org/I4210092442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061220191","display_name":"Adam Pease","orcid":"https://orcid.org/0000-0001-9772-1266"},"institutions":[{"id":"https://openalex.org/I4210092442","display_name":"Ipsos (United States)","ror":"https://ror.org/00g5g8212","country_code":"US","type":"company","lineage":["https://openalex.org/I4210092442"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Pease","raw_affiliation_strings":["IPsoft / New York , NY , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IPsoft / New York , NY , USA","institution_ids":["https://openalex.org/I4210092442"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210092442"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"66","last_page":"73"},"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":0.9998999834060669,"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/T12031","display_name":"Speech and dialogue systems","score":0.9965000152587891,"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/substitution","display_name":"Substitution (logic)","score":0.8579344153404236},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.7795804738998413},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6896106600761414},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6778279542922974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6310087442398071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5941969156265259},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3609731197357178},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.10235098004341125}],"concepts":[{"id":"https://openalex.org/C2778220771","wikidata":"https://www.wikidata.org/wiki/Q1522579","display_name":"Substitution (logic)","level":2,"score":0.8579344153404236},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.7795804738998413},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6896106600761414},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6778279542922974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6310087442398071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5941969156265259},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3609731197357178},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.10235098004341125},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2016.gwc-1.11","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2016.gwc-1.11","pdf_url":"https://aclanthology.org/2016.gwc-1.11.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 8th Global WordNet Conference (GWC)","raw_type":"proceedings-article"},{"id":"mag:3128530704","is_oa":false,"landing_page_url":"https://aclanthology.org/2016.gwc-1.11/","pdf_url":null,"source":{"id":"https://openalex.org/S4306511800","display_name":"GWC","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"GWC","raw_type":null}],"best_oa_location":{"id":"doi:10.18653/v1/2016.gwc-1.11","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2016.gwc-1.11","pdf_url":"https://aclanthology.org/2016.gwc-1.11.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 8th Global WordNet Conference (GWC)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3128530704.pdf","grobid_xml":"https://content.openalex.org/works/W3128530704.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1809817947","https://openalex.org/W2038721957","https://openalex.org/W2078277979","https://openalex.org/W2123442489","https://openalex.org/W2129657639","https://openalex.org/W2153252192","https://openalex.org/W2158139315","https://openalex.org/W2158847908","https://openalex.org/W2158890594","https://openalex.org/W2160218441","https://openalex.org/W2250968248","https://openalex.org/W2501192554","https://openalex.org/W2613678836","https://openalex.org/W2950225692","https://openalex.org/W2950577311"],"related_works":["https://openalex.org/W2377684755","https://openalex.org/W89901745","https://openalex.org/W2781731186","https://openalex.org/W3158771677","https://openalex.org/W2135707795","https://openalex.org/W2112899041","https://openalex.org/W2884868859","https://openalex.org/W2969795401","https://openalex.org/W1980454883","https://openalex.org/W2105842937","https://openalex.org/W1600594996","https://openalex.org/W1537842255","https://openalex.org/W2338464688","https://openalex.org/W2031854707","https://openalex.org/W252296781","https://openalex.org/W2103664125","https://openalex.org/W2038682219","https://openalex.org/W2061589929","https://openalex.org/W2247033631","https://openalex.org/W109237585"],"abstract_inverted_index":{"We":[0],"describe":[1],"the":[2,28,40,45,59,67,92,97],"implementation":[3],"of":[4,11,74,77],"a":[5,12,18,26,36,51,70,75],"short":[6],"answer":[7,23],"extraction":[8,24,80],"system.It":[9],"consists":[10],"simple":[13],"sentence":[14,31],"selection":[15],"front-end":[16],"and":[17,48,50],"two":[19],"phase":[20,30,57],"approach":[21],"to":[22,86],"from":[25],"sentence.In":[27],"first":[29,98],"classification":[32],"is":[33,82],"performed":[34],"with":[35,39,91],"classifier":[37],"trained":[38],"passive":[41],"aggressive":[42],"algorithm":[43,72],"utilizing":[44],"UIUC":[46,93],"dataset":[47],"taxonomy":[49],"feature":[52],"set":[53],"including":[54],"word":[55,88],"vectors.This":[56],"outperforms":[58],"current":[60],"best":[61],"published":[62],"results":[63],"on":[64],"that":[65],"dataset.In":[66],"second":[68],"phase,":[69],"sieve":[71],"consisting":[73],"series":[76],"increasingly":[78],"general":[79],"rules":[81],"applied,":[83],"using":[84],"WordNet":[85],"find":[87],"types":[89],"aligned":[90],"classifications":[94],"determined":[95],"in":[96],"phase.Some":[99],"very":[100],"preliminary":[101],"performance":[102],"metrics":[103],"are":[104],"presented.":[105]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2021-02-15T00:00:00"}
