{"id":"https://openalex.org/W2250366327","doi":"https://doi.org/10.18653/v1/s15-2037","title":"ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge","display_name":"ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2250366327","doi":"https://doi.org/10.18653/v1/s15-2037","mag":"2250366327"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s15-2037","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s15-2037","pdf_url":"https://www.aclweb.org/anthology/S15-2037.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 9th International Workshop on Semantic Evaluation (SemEval 2015)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S15-2037.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037564792","display_name":"Xiaoqiang Zhou","orcid":"https://orcid.org/0000-0002-6448-3246"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqiang Zhou","raw_affiliation_strings":["Intelligence Computing Research Center Department of Computer Science &Technology Harbin Institute of Technology, Shenzhen Graduate School"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligence Computing Research Center Department of Computer Science &Technology Harbin Institute of Technology, Shenzhen Graduate School","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083079672","display_name":"Baotian Hu","orcid":"https://orcid.org/0000-0001-7490-684X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baotian Hu","raw_affiliation_strings":["Intelligence Computing Research Center Department of Computer Science &Technology Harbin Institute of Technology, Shenzhen Graduate School"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligence Computing Research Center Department of Computer Science &Technology Harbin Institute of Technology, Shenzhen Graduate School","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045558068","display_name":"Jiaxin Lin","orcid":"https://orcid.org/0000-0001-6534-9471"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Lin","raw_affiliation_strings":["Intelligence Computing Research Center Department of Computer Science &Technology Harbin Institute of Technology, Shenzhen Graduate School"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligence Computing Research Center Department of Computer Science &Technology Harbin Institute of Technology, Shenzhen Graduate School","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008082945","display_name":"Yang Xiang","orcid":"https://orcid.org/0000-0001-9714-1210"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang xiang","raw_affiliation_strings":["Intelligence Computing Research Center Department of Computer Science &Technology Harbin Institute of Technology, Shenzhen Graduate School"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligence Computing Research Center Department of Computer Science &Technology Harbin Institute of Technology, Shenzhen Graduate School","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100424254","display_name":"Xiaolong Wang","orcid":"https://orcid.org/0000-0001-9003-4252"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Wang","raw_affiliation_strings":["Intelligence Computing Research Center Department of Computer Science &Technology Harbin Institute of Technology, Shenzhen Graduate School"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligence Computing Research Center Department of Computer Science &Technology Harbin Institute of Technology, Shenzhen Graduate School","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"210","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9997000098228455,"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/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9602000117301941,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/sequence-labeling","display_name":"Sequence labeling","score":0.7945359945297241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7906506061553955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7071045637130737},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6985599994659424},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6835933923721313},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6533107161521912},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6461709141731262},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.640386164188385},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6332195401191711},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5709549784660339},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.5329787731170654},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5319638252258301},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5169084072113037},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5066836476325989},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42903172969818115},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.42891258001327515}],"concepts":[{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.7945359945297241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7906506061553955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7071045637130737},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6985599994659424},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6835933923721313},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6533107161521912},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6461709141731262},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.640386164188385},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6332195401191711},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5709549784660339},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.5329787731170654},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5319638252258301},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5169084072113037},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5066836476325989},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42903172969818115},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.42891258001327515},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/s15-2037","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s15-2037","pdf_url":"https://www.aclweb.org/anthology/S15-2037.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 9th International Workshop on Semantic Evaluation (SemEval 2015)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.704.3587","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.704.3587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://alt.qcri.org/semeval2015/cdrom/pdf/SemEval037.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/s15-2037","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s15-2037","pdf_url":"https://www.aclweb.org/anthology/S15-2037.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 9th International Workshop on Semantic Evaluation (SemEval 2015)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250366327.pdf","grobid_xml":"https://content.openalex.org/works/W2250366327.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1591825359","https://openalex.org/W1614298861","https://openalex.org/W1819710477","https://openalex.org/W1889268436","https://openalex.org/W2057415299","https://openalex.org/W2120615054","https://openalex.org/W2121832034","https://openalex.org/W2125545399","https://openalex.org/W2141441857","https://openalex.org/W2148118556","https://openalex.org/W2170738476","https://openalex.org/W2251456342","https://openalex.org/W2252217313","https://openalex.org/W2951359136"],"related_works":["https://openalex.org/W2962906565","https://openalex.org/W2798423868","https://openalex.org/W3027026357","https://openalex.org/W3015678144","https://openalex.org/W2061027419","https://openalex.org/W2076440176","https://openalex.org/W3126392069","https://openalex.org/W2109665237","https://openalex.org/W2944198262","https://openalex.org/W3136048405"],"abstract_inverted_index":{"In":[0,36],"this":[1,103],"paper,":[2],"we":[3],"present":[4],"a":[5,11,22,67],"comment":[6,64],"labeling":[7,24],"system":[8],"based":[9,79],"on":[10,86,97],"deep":[12],"learning":[13],"strategy.":[14],"We":[15],"treat":[16],"the":[17,37,52,60,63,75,91,99],"answer":[18,104],"selection":[19,105],"task":[20],"as":[21],"sequence":[23,65],"problem":[25],"and":[26,58,89],"propose":[27],"recurrent":[28,38,68],"convolution":[29],"neural":[30,48,69],"networks":[31,49],"to":[32,50,62],"recognize":[33],"good":[34],"comments.":[35],"architecture":[39],"of":[40],"our":[41,43,81],"system,":[42],"approach":[44,82],"uses":[45],"2-dimensional":[46],"convolutional":[47],"learn":[51],"distributed":[53],"representation":[54],"for":[55],"question-comment":[56],"pair,":[57],"assigns":[59],"labels":[61],"with":[66,74],"network":[70],"over":[71],"CNN.":[72],"Compared":[73],"conditional":[76],"random":[77],"fields":[78],"method,":[80],"performs":[83],"better":[84],"performance":[85],"Macro-F1":[87],"(53.82%),":[88],"achieves":[90],"highest":[92],"accuracy":[93],"(73.18%),":[94],"F1-value":[95],"(79.76%)":[96],"predicting":[98],"Good":[100],"class":[101],"in":[102],"challenge.":[106]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
