{"id":"https://openalex.org/W3089094366","doi":null,"title":"Combining Lexical and Semantic-based Features for Answer Sentence Selection","display_name":"Combining Lexical and Semantic-based Features for Answer Sentence Selection","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W3089094366","mag":"3089094366"},"language":"en","primary_location":{"id":"mag:3089094366","doi":null,"is_oa":false,"landing_page_url":"https://www.aclweb.org/anthology/W16-4404/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5042986596","display_name":"Jing Shi","orcid":"https://orcid.org/0000-0002-5327-8079","observed_orcids":["https://orcid.org/0000-0002-5327-8079","https://orcid.org/0000-0002-2277-7684","https://orcid.org/0000-0003-2047-2788"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Shi","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2277-7684","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101746187","display_name":"Jiaming Xu","orcid":"https://orcid.org/0000-0001-7635-1059","observed_orcids":["https://orcid.org/0000-0001-7635-1059"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiaming Xu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7635-1059","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001240297","display_name":"Yiqun Yao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiqun Yao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110447612","display_name":"Suncong Zheng","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Suncong Zheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5020681500","display_name":"Bo Xu","orcid":"https://orcid.org/0000-0002-2083-4307","observed_orcids":["https://orcid.org/0000-0002-2083-4307","https://orcid.org/0000-0003-0993-8778","https://orcid.org/0009-0004-7480-0243"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Xu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2083-4307","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32542081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"30","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.8310999870300293,"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":0.8310999870300293,"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":0.08269999921321869,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.0706000030040741,"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/open-domain-question-answering","display_name":"open-domain question answering","score":0.906000018119812},{"id":"https://openalex.org/keywords/answer-sentence-selection","display_name":"answer sentence selection","score":0.9679999947547913},{"id":"https://openalex.org/keywords/lexical-features","display_name":"lexical features","score":0.9290000200271606},{"id":"https://openalex.org/keywords/semantic-features","display_name":"semantic features","score":0.9879999756813049},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"feature engineering","score":0.9179999828338623},{"id":"https://openalex.org/keywords/semantic-relevance","display_name":"semantic relevance","score":0.675000011920929},{"id":"https://openalex.org/keywords/shared-task-evaluation","display_name":"shared task evaluation","score":0.6629999876022339}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.8330682516098022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8117769956588745},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7090891599655151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7055768370628357},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5578862428665161},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.518525242805481},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4832761883735657},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.47786039113998413},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.47744089365005493},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4404262602329254},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.44032636284828186},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4293655753135681},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4287838637828827},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.17570525407791138},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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":1,"locations":[{"id":"mag:3089094366","doi":null,"is_oa":false,"landing_page_url":"https://www.aclweb.org/anthology/W16-4404/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W160318044","https://openalex.org/W1514986335","https://openalex.org/W1591825359","https://openalex.org/W1604792744","https://openalex.org/W1678356000","https://openalex.org/W2086511124","https://openalex.org/W2112729630","https://openalex.org/W2120735855","https://openalex.org/W2131965512","https://openalex.org/W2153579005","https://openalex.org/W2251143283","https://openalex.org/W2251202616","https://openalex.org/W2251818205","https://openalex.org/W2251921768","https://openalex.org/W2511794140","https://openalex.org/W2911964244","https://openalex.org/W2963143606","https://openalex.org/W2963738886","https://openalex.org/W3102476541","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W1591825359","https://openalex.org/W2791730953","https://openalex.org/W2118091490","https://openalex.org/W2794092562","https://openalex.org/W2251921768","https://openalex.org/W1976818210","https://openalex.org/W2140784772","https://openalex.org/W2613166880","https://openalex.org/W2153045205","https://openalex.org/W4405925635"],"abstract_inverted_index":{"Question":[0,70],"answering":[1,20,124],"is":[2],"always":[3],"an":[4],"attractive":[5],"and":[6,41,54,95,98,114,138],"challenging":[7],"task":[8,65,140],"in":[9,34,93,121],"natural":[10],"language":[11],"processing":[12],"area.":[13],"There":[14],"are":[15],"some":[16,35,142],"open":[17],"domain":[18],"question":[19,123],"systems,":[21],"such":[22],"as":[23,32],"IBM":[24],"Waston,":[25],"which":[26,88,117],"take":[27],"the":[28,48,74,78,103,106],"unstructured":[29],"text":[30],"data":[31],"input,":[33],"ways":[36],"of":[37,44,90,105],"humanlike":[38],"thinking":[39],"process":[40],"a":[42,63,112],"mode":[43],"artificial":[45],"intelligence.":[46],"At":[47],"conference":[49],"on":[50],"Natural":[51],"Language":[52],"Processing":[53],"Chinese":[55],"Computing":[56],"(NLPCC)":[57],"2016,":[58],"China":[59],"Computer":[60],"Federation":[61],"hosted":[62],"shared":[64],"evaluation":[66,107],"about":[67],"Open":[68],"Domain":[69],"Answering.":[71],"We":[72,129],"achieve":[73],"2nd":[75],"place":[76],"at":[77],"document-based":[79],"subtask.":[80],"In":[81],"this":[82,136],"paper,":[83],"we":[84],"present":[85],"our":[86,109,131],"solution,":[87],"consists":[89],"feature":[91],"engineering":[92],"lexical":[94],"semantic":[96,127],"aspects":[97],"model":[99,116],"training":[100],"methods.":[101],"As":[102],"result":[104],"shows,":[108],"solution":[110,132],"provides":[111],"valuable":[113],"brief":[115],"could":[118],"be":[119],"used":[120],"modelling":[122],"or":[125],"sentence":[126],"relevance.":[128],"hope":[130],"would":[133],"contribute":[134],"to":[135],"vast":[137],"significant":[139],"with":[141],"heuristic":[143],"thinking.":[144]},"counts_by_year":[],"updated_date":"2026-10-22T09:42:04.148104","created_date":"2020-10-01T00:00:00"}
