{"id":"https://openalex.org/W3117058166","doi":"https://doi.org/10.18653/v1/2020.aacl-main.14","title":"Exploiting WordNet Synset and Hypernym Representations for Answer Selection","display_name":"Exploiting WordNet Synset and Hypernym Representations for Answer Selection","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3117058166","doi":"https://doi.org/10.18653/v1/2020.aacl-main.14","mag":"3117058166"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2020.aacl-main.14","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2020.aacl-main.14","pdf_url":"https://aclanthology.org/2020.aacl-main.14.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 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2020.aacl-main.14.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100758404","display_name":"Weikang Li","orcid":"https://orcid.org/0000-0002-7137-5390"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Weikang Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5027803148","display_name":"Yunfang Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunfang Wu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100758404"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1359,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58886257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"106","last_page":"115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9948999881744385,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/wordnet","display_name":"WordNet","score":0.9758310317993164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8559223413467407},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6379068493843079},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6243210434913635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5810967087745667},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.5626038908958435},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5150639414787292},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.49242982268333435},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4788751006126404},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4635557234287262},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4510466754436493},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.43163684010505676},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1323769986629486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11595103144645691}],"concepts":[{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.9758310317993164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8559223413467407},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6379068493843079},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6243210434913635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5810967087745667},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.5626038908958435},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5150639414787292},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49242982268333435},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4788751006126404},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4635557234287262},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4510466754436493},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.43163684010505676},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1323769986629486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11595103144645691},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2020.aacl-main.14","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2020.aacl-main.14","pdf_url":"https://aclanthology.org/2020.aacl-main.14.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 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2020.aacl-main.14","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2020.aacl-main.14","pdf_url":"https://aclanthology.org/2020.aacl-main.14.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 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5299999713897705,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G655826466","display_name":null,"funder_award_id":"61936012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3117058166.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1902237438","https://openalex.org/W2094728533","https://openalex.org/W2118091490","https://openalex.org/W2136480620","https://openalex.org/W2157331557","https://openalex.org/W2173361515","https://openalex.org/W2211192759","https://openalex.org/W2250539671","https://openalex.org/W2251818205","https://openalex.org/W2286300105","https://openalex.org/W2469060249","https://openalex.org/W2511929605","https://openalex.org/W2534712034","https://openalex.org/W2573379274","https://openalex.org/W2608787653","https://openalex.org/W2613678836","https://openalex.org/W2626154462","https://openalex.org/W2729819393","https://openalex.org/W2740747242","https://openalex.org/W2741075451","https://openalex.org/W2757937538","https://openalex.org/W2759477115","https://openalex.org/W2760753016","https://openalex.org/W2767857566","https://openalex.org/W2798416089","https://openalex.org/W2951528484","https://openalex.org/W2962765866","https://openalex.org/W2963538407","https://openalex.org/W2963895422","https://openalex.org/W3101023724"],"related_works":["https://openalex.org/W2900382651","https://openalex.org/W1981879262","https://openalex.org/W2363417484","https://openalex.org/W4225863708","https://openalex.org/W1599970036","https://openalex.org/W1480103567","https://openalex.org/W158852162","https://openalex.org/W2003651848","https://openalex.org/W1849827364","https://openalex.org/W2786299737"],"abstract_inverted_index":{"Weikang":[0],"Li,":[1],"Yunfang":[2],"Wu.":[3],"Proceedings":[4],"of":[5,9,13],"the":[6,10,14,20],"1st":[7],"Conference":[8,24],"Asia-Pacific":[11],"Chapter":[12],"Association":[15],"for":[16],"Computational":[17],"Linguistics":[18],"and":[19],"10th":[21],"International":[22],"Joint":[23],"on":[25],"Natural":[26],"Language":[27],"Processing.":[28],"2020.":[29]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}