{"id":"https://openalex.org/W2566770969","doi":"https://doi.org/10.18653/v1/d16-1165","title":"It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering","display_name":"It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2566770969","doi":"https://doi.org/10.18653/v1/d16-1165","mag":"2566770969"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d16-1165","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1165","pdf_url":"https://www.aclweb.org/anthology/D16-1165.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 2016 Conference on Empirical Methods in Natural\n          Language Processing","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/D16-1165.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012055259","display_name":"Preslav Nakov","orcid":"https://orcid.org/0000-0002-3600-1510"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Preslav Nakov","raw_affiliation_strings":["Arabic Language Technologies Research Group Qatar Computing Research Institute, HBKU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arabic Language Technologies Research Group Qatar Computing Research Institute, HBKU","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103372090","display_name":"Llu\u0131\u0301s M\u00e0rquez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Llu\u00eds M\u00e0rquez","raw_affiliation_strings":["Arabic Language Technologies Research Group Qatar Computing Research Institute, HBKU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arabic Language Technologies Research Group Qatar Computing Research Institute, HBKU","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113551755","display_name":"Francisco Guzm\u00e1n","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francisco Guzm\u00e1n","raw_affiliation_strings":["Arabic Language Technologies Research Group Qatar Computing Research Institute, HBKU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arabic Language Technologies Research Group Qatar Computing Research Institute, HBKU","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1586","last_page":"1597"},"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":0.9993000030517578,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9918000102043152,"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/question-answering","display_name":"Question answering","score":0.7810869216918945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7656236886978149},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7103269696235657},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6905272603034973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6494392156600952},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.621513307094574},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6091731786727905},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.582282543182373},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5820825695991516},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5642316937446594},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5492808222770691},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5244817137718201},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5151287317276001},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5100923180580139},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1368149220943451},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11778488755226135},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0949210524559021}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7810869216918945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7656236886978149},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7103269696235657},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6905272603034973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6494392156600952},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.621513307094574},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6091731786727905},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.582282543182373},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5820825695991516},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5642316937446594},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5492808222770691},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5244817137718201},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5151287317276001},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5100923180580139},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1368149220943451},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11778488755226135},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0949210524559021},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d16-1165","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1165","pdf_url":"https://www.aclweb.org/anthology/D16-1165.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 2016 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d16-1165","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1165","pdf_url":"https://www.aclweb.org/anthology/D16-1165.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 2016 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5400000214576721,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309815","display_name":"Qatar Foundation","ror":"https://ror.org/01cawbq05"},{"id":"https://openalex.org/F4320319188","display_name":"Hamad Bin Khalifa University","ror":"https://ror.org/03eyq4y97"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2566770969.pdf","grobid_xml":"https://content.openalex.org/works/W2566770969.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1966443646","https://openalex.org/W2006969979","https://openalex.org/W2065240770","https://openalex.org/W2070150502","https://openalex.org/W2078861931","https://openalex.org/W2101105183","https://openalex.org/W2105051853","https://openalex.org/W2119788759","https://openalex.org/W2133280805","https://openalex.org/W2138692180","https://openalex.org/W2141599568","https://openalex.org/W2146502635","https://openalex.org/W2149327368","https://openalex.org/W2153045205","https://openalex.org/W2155712036","https://openalex.org/W2156938860","https://openalex.org/W2162355876","https://openalex.org/W2173361515","https://openalex.org/W2198851392","https://openalex.org/W2250175451","https://openalex.org/W2250421192","https://openalex.org/W2251202616","https://openalex.org/W2251506003","https://openalex.org/W2252009349","https://openalex.org/W2252143362","https://openalex.org/W2252217313","https://openalex.org/W2431106835","https://openalex.org/W2460471599","https://openalex.org/W2464096189","https://openalex.org/W2466876248","https://openalex.org/W2467646401","https://openalex.org/W2468484304","https://openalex.org/W2468672598","https://openalex.org/W2469197239","https://openalex.org/W2469813221","https://openalex.org/W2472879408","https://openalex.org/W2512273476","https://openalex.org/W2513959045","https://openalex.org/W2964154091"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W2011472225","https://openalex.org/W3000057026","https://openalex.org/W3048565508","https://openalex.org/W3163984363","https://openalex.org/W2010725720","https://openalex.org/W4310066305"],"abstract_inverted_index":{"We":[0,19,43],"address":[1],"the":[2,21,46,49,56,60,63,70,85,107,128,133,137,141],"problem":[3],"of":[4,37,48,52],"answering":[5],"new":[6],"questions":[7],"in":[8,55],"community":[9],"forums,":[10],"by":[11,59],"selecting":[12],"suitable":[13],"answers":[14,40],"to":[15,69,114],"already":[16],"asked":[17],"questions.":[18],"approach":[20],"task":[22],"as":[23],"an":[24,67],"answer":[25,68],"ranking":[26],"problem,":[27],"adopting":[28],"a":[29],"pairwise":[30],"neural":[31,82],"network":[32,83],"architecture":[33],"that":[34,106,121],"selects":[35],"which":[36,73],"two":[38],"competing":[39],"is":[41],"better.":[42],"focus":[44],"on":[45],"utility":[47],"three":[50,108],"types":[51,124],"similarities":[53,109],"occurring":[54],"triangle":[57],"formed":[58],"original":[61],"question,":[62,65],"related":[64,71],"and":[66,78,93,98,112,140,143],"comment,":[72],"we":[74],"call":[75],"relevance,":[76],"relatedness,":[77],"appropriateness.":[79],"Our":[80,118],"proposed":[81],"models":[84],"interactions":[86],"among":[87],"all":[88,122],"input":[89],"components":[90],"using":[91],"syntactic":[92,142],"semantic":[94,144],"embeddings,":[95],"lexical":[96,134],"matching,":[97],"domain-specific":[99,138],"features.":[100],"It":[101],"achieves":[102],"state-of-the-art":[103],"results,":[104],"showing":[105],"are":[110,125,132],"important":[111,130],"need":[113],"be":[115],"modeled":[116],"together.":[117],"experiments":[119],"demonstrate":[120],"feature":[123],"relevant,":[126],"but":[127],"most":[129],"ones":[131],"similarity":[135],"features,":[136,139],"embeddings.":[145]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}