{"id":"https://openalex.org/W2753261433","doi":"https://doi.org/10.18653/v1/s17-2060","title":"ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering Task","display_name":"ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering Task","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2753261433","doi":"https://doi.org/10.18653/v1/s17-2060","mag":"2753261433"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s17-2060","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2060","pdf_url":"https://www.aclweb.org/anthology/S17-2060.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 11th International Workshop on Semantic Evaluation\n          (SemEval-2017)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S17-2060.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078399246","display_name":"Guoshun Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoshun Wu","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018925318","display_name":"Yixuan Sheng","orcid":"https://orcid.org/0000-0003-1022-7690"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixuan Sheng","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057508424","display_name":"Man Lan","orcid":"https://orcid.org/0000-0002-1423-1286"},"institutions":[{"id":"https://openalex.org/I4210097654","display_name":"Dimensional Imaging (United Kingdom)","ror":"https://ror.org/00d1fsm72","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210097654"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Man Lan","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China","Shanghai Key Laboratory of Multidimensional Information Processing 51141201064,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing 51141201064,","institution_ids":["https://openalex.org/I4210097654"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5118458994","display_name":"Yuanbin Wu","orcid":"https://orcid.org/0009-0009-5670-4940"},"institutions":[{"id":"https://openalex.org/I4210097654","display_name":"Dimensional Imaging (United Kingdom)","ror":"https://ror.org/00d1fsm72","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210097654"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Yuanbin Wu","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China","Shanghai Key Laboratory of Multidimensional Information Processing 51141201064,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing 51141201064,","institution_ids":["https://openalex.org/I4210097654"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078399246"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":2.7005,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.92422846,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"365","last_page":"369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9991000294685364,"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":0.9807999730110168,"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/semeval","display_name":"SemEval","score":0.8867158889770508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8376526832580566},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.8231109380722046},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7534997463226318},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7183841466903687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6839307546615601},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.588920533657074},{"id":"https://openalex.org/keywords/reciprocal","display_name":"Reciprocal","score":0.5573359727859497},{"id":"https://openalex.org/keywords/mean-reciprocal-rank","display_name":"Mean reciprocal rank","score":0.5501360893249512},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5328106880187988},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5102765560150146},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.446390300989151},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.43768784403800964},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1583479940891266},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12160950899124146}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.8867158889770508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8376526832580566},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.8231109380722046},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7534997463226318},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7183841466903687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6839307546615601},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.588920533657074},{"id":"https://openalex.org/C2777742833","wikidata":"https://www.wikidata.org/wiki/Q1964083","display_name":"Reciprocal","level":2,"score":0.5573359727859497},{"id":"https://openalex.org/C44083865","wikidata":"https://www.wikidata.org/wiki/Q3853443","display_name":"Mean reciprocal rank","level":2,"score":0.5501360893249512},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5328106880187988},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5102765560150146},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.446390300989151},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.43768784403800964},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1583479940891266},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12160950899124146},{"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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/s17-2060","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2060","pdf_url":"https://www.aclweb.org/anthology/S17-2060.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 11th International Workshop on Semantic Evaluation\n          (SemEval-2017)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/s17-2060","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2060","pdf_url":"https://www.aclweb.org/anthology/S17-2060.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 11th International Workshop on Semantic Evaluation\n          (SemEval-2017)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3200469410","display_name":null,"funder_award_id":"14DZ2260800","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3243303943","display_name":null,"funder_award_id":"61402175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4713543433","display_name":null,"funder_award_id":"61402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4760357681","display_name":null,"funder_award_id":"14DZ2260800","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G5661849975","display_name":null,"funder_award_id":"ZF1213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5848258319","display_name":null,"funder_award_id":"0 and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8317813950","display_name":null,"funder_award_id":"6140217","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"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2753261433.pdf","grobid_xml":"https://content.openalex.org/works/W2753261433.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1526838010","https://openalex.org/W2107397692","https://openalex.org/W2118091490","https://openalex.org/W2156938860","https://openalex.org/W2250539671","https://openalex.org/W2468484304","https://openalex.org/W2468672598","https://openalex.org/W2471091747","https://openalex.org/W2915240437"],"related_works":["https://openalex.org/W2751698142","https://openalex.org/W3130378938","https://openalex.org/W2969318268","https://openalex.org/W1575184037","https://openalex.org/W2401488880","https://openalex.org/W1569284118","https://openalex.org/W4245477095","https://openalex.org/W3101676040","https://openalex.org/W3194543085","https://openalex.org/W2113640060"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,8,66,84,88,91,99,103],"systems":[4],"we":[5,42,64,82],"submitted":[6],"to":[7,47],"task":[9],"3":[10],"(Community":[11],"Question":[12,106],"Answering)":[13],"in":[14],"SemEval":[15],"2017":[16],"which":[17],"contains":[18],"three":[19],"subtasks":[20],"on":[21],"english":[22],"corpora,":[23],"i.e.,":[24,51],"subtask":[25,29,34,40,62,80],"A:":[26],"Question-Comment":[27],"Similarity,":[28,32],"B:":[30],"Question-Question":[31],"and":[33,57],"C:":[35],"Question-External":[36],"Comment":[37],"Similarity.":[38],"For":[39,61,79],"A,":[41],"combined":[43],"two":[44],"different":[45],"methods":[46],"represent":[48],"question-comment":[49],"pair,":[50],"supervised":[52],"model":[53],"using":[54],"traditional":[55],"features":[56],"Convolutional":[58],"Neural":[59],"Network.":[60],"B,":[63],"utilized":[65],"information":[67],"of":[68,90,102],"snippets":[69],"returned":[70],"from":[71],"Search":[72],"Engine":[73],"with":[74],"question":[75,94],"subject":[76],"as":[77],"query.":[78],"C,":[81],"ranked":[83],"comments":[85],"by":[86,98],"multiplying":[87],"probability":[89],"pair":[92],"\"related":[93],"comment\"":[95],"being":[96],"Good":[97],"reciprocal":[100],"rank":[101],"related":[104],"question.":[105]},"counts_by_year":[{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
