{"id":"https://openalex.org/W2767857566","doi":"https://doi.org/10.1145/3132847.3133089","title":"A Compare-Aggregate Model with Dynamic-Clip Attention for Answer Selection","display_name":"A Compare-Aggregate Model with Dynamic-Clip Attention for Answer Selection","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2767857566","doi":"https://doi.org/10.1145/3132847.3133089","mag":"2767857566"},"language":"en","primary_location":{"id":"doi:10.1145/3132847.3133089","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3133089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","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/A5002520685","display_name":"Weijie Bian","orcid":"https://orcid.org/0009-0009-2515-1300"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weijie Bian","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391315","display_name":"Si Li","orcid":"https://orcid.org/0000-0001-9823-3870"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101491458","display_name":"Yang Zhao","orcid":"https://orcid.org/0000-0002-1836-1643"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Yang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323016","display_name":"Guang Chen","orcid":"https://orcid.org/0000-0001-5611-6561"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Chen","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100725252","display_name":"Zhiqing Lin","orcid":"https://orcid.org/0000-0002-4370-9437"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqing Lin","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002520685"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":10.3359,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":{"value":0.98523429,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1987","last_page":"1990"},"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9883000254631042,"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/computer-science","display_name":"Computer science","score":0.8200771808624268},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7851157188415527},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.7597753405570984},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6628652811050415},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6581581234931946},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.6367789506912231},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5839810967445374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5446159839630127},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5232940316200256},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5077468156814575},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.47434842586517334},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34291183948516846},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33986443281173706},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08317458629608154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8200771808624268},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7851157188415527},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.7597753405570984},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6628652811050415},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6581581234931946},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.6367789506912231},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5839810967445374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5446159839630127},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5232940316200256},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5077468156814575},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.47434842586517334},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34291183948516846},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33986443281173706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08317458629608154},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3132847.3133089","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3133089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W2120735855","https://openalex.org/W2149427297","https://openalex.org/W2337942964","https://openalex.org/W2413794162","https://openalex.org/W2469060249","https://openalex.org/W2539338396","https://openalex.org/W2556553881","https://openalex.org/W2962888238","https://openalex.org/W2963773425"],"related_works":["https://openalex.org/W2140020064","https://openalex.org/W143502885","https://openalex.org/W42113618","https://openalex.org/W2103468410","https://openalex.org/W1856228368","https://openalex.org/W3197542402","https://openalex.org/W2971527398","https://openalex.org/W82829784","https://openalex.org/W1025150868","https://openalex.org/W2112815677"],"abstract_inverted_index":{"Answer":[0],"selection":[1,107],"for":[2],"question":[3],"answering":[4],"is":[5,67],"a":[6,59,110,116],"challenging":[7],"task,":[8],"since":[9],"it":[10],"requires":[11],"effective":[12],"capture":[13],"of":[14,92,129],"the":[15,46,71,89,96,126,144],"complex":[16],"semantic":[17,90],"relations":[18],"between":[19],"questions":[20],"and":[21,35,135],"answers.":[22,131],"Previous":[23],"remarkable":[24],"approaches":[25],"mainly":[26],"adopt":[27],"general":[28],"Compare-Aggregate":[29,42,72,102],"framework":[30],"that":[31,139],"performs":[32],"word-level":[33,53,93],"comparison":[34],"aggregation.":[36],"In":[37],"this":[38,122],"paper,":[39],"unlike":[40],"previous":[41,101],"models":[43],"which":[44,66,104],"utilize":[45],"traditional":[47],"attention":[48,61,82],"mechanism":[49,62],"to":[50,86,120,124],"generate":[51],"corresponding":[52],"vector":[54],"before":[55],"comparison,":[56],"we":[57,114],"propose":[58,115],"novel":[60],"named":[63],"Dynamic-Clip":[64,74],"Attention":[65,75],"directly":[68],"integrated":[69],"into":[70],"framework.":[73],"focuses":[76],"on":[77,133],"filtering":[78],"out":[79],"noise":[80],"in":[81,84],"matrix,":[83],"order":[85,128],"better":[87],"mine":[88],"relevance":[91],"vectors.":[94],"At":[95],"same":[97],"time,":[98],"different":[99],"from":[100],"works":[103],"treat":[105],"answer":[106],"task":[108,123],"as":[109],"pointwise":[111],"classification":[112],"problem,":[113],"listwise":[117],"ranking":[118],"approach":[119],"model":[121,142],"learn":[125],"relative":[127],"candidate":[130],"Experiments":[132],"TrecQA":[134],"WikiQA":[136],"datasets":[137],"show":[138],"our":[140],"proposed":[141],"achieves":[143],"state-of-the-art":[145],"performance.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":16}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}