{"id":"https://openalex.org/W2739432281","doi":"https://doi.org/10.1145/3077136.3080757","title":"Large-Scale Goodness Polarity Lexicons for Community Question Answering","display_name":"Large-Scale Goodness Polarity Lexicons for Community Question Answering","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2739432281","doi":"https://doi.org/10.1145/3077136.3080757","mag":"2739432281"},"language":"en","primary_location":{"id":"doi:10.1145/3077136.3080757","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3080757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1707.06378","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052408504","display_name":"Todor Mihaylov","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Todor Mihaylov","raw_affiliation_strings":["Heidelberg University, Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"Heidelberg University, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033801820","display_name":"Daniel Belchev","orcid":null},"institutions":[{"id":"https://openalex.org/I58918642","display_name":"Sofia University \"St. Kliment Ohridski\"","ror":"https://ror.org/02jv3k292","country_code":"BG","type":"education","lineage":["https://openalex.org/I58918642"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Daniel Balchev","raw_affiliation_strings":["Sofia University, Sofia, Bulgaria"],"affiliations":[{"raw_affiliation_string":"Sofia University, Sofia, Bulgaria","institution_ids":["https://openalex.org/I58918642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004420859","display_name":"Yasen Kiprov","orcid":null},"institutions":[{"id":"https://openalex.org/I58918642","display_name":"Sofia University \"St. Kliment Ohridski\"","ror":"https://ror.org/02jv3k292","country_code":"BG","type":"education","lineage":["https://openalex.org/I58918642"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Yasen Kiprov","raw_affiliation_strings":["Sofia University, Sofia, Bulgaria"],"affiliations":[{"raw_affiliation_string":"Sofia University, Sofia, Bulgaria","institution_ids":["https://openalex.org/I58918642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076908482","display_name":"Ivan Koychev","orcid":"https://orcid.org/0000-0003-3919-030X"},"institutions":[{"id":"https://openalex.org/I58918642","display_name":"Sofia University \"St. Kliment Ohridski\"","ror":"https://ror.org/02jv3k292","country_code":"BG","type":"education","lineage":["https://openalex.org/I58918642"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Ivan Koychev","raw_affiliation_strings":["Sofia University, Sofia, Bulgaria"],"affiliations":[{"raw_affiliation_string":"Sofia University, Sofia, Bulgaria","institution_ids":["https://openalex.org/I58918642"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012055259","display_name":"Preslav Nakov","orcid":"https://orcid.org/0000-0002-3600-1510"},"institutions":[{"id":"https://openalex.org/I1301390666","display_name":"Qatar Airways (Qatar)","ror":"https://ror.org/01hx00y13","country_code":"QA","type":"company","lineage":["https://openalex.org/I1301390666"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Preslav Nakov","raw_affiliation_strings":["Qatar Computing Research Institute, HBKU, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Qatar Computing Research Institute, HBKU, Doha, Qatar","institution_ids":["https://openalex.org/I1301390666"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5052408504"],"corresponding_institution_ids":["https://openalex.org/I223822909"],"apc_list":null,"apc_paid":null,"fwci":0.8298,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8043095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1185","last_page":"1188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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/T10028","display_name":"Topic Modeling","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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9973000288009644,"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":0.6913371682167053},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6451222896575928},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.6064624786376953},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5873276591300964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5721427202224731},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.5501832962036133},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.5294071435928345},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.525373101234436},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5251060128211975},{"id":"https://openalex.org/keywords/goodness-of-fit","display_name":"Goodness of fit","score":0.46062153577804565},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3920519948005676},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32751035690307617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19268569350242615}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6913371682167053},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6451222896575928},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.6064624786376953},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5873276591300964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5721427202224731},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.5501832962036133},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.5294071435928345},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.525373101234436},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5251060128211975},{"id":"https://openalex.org/C132480984","wikidata":"https://www.wikidata.org/wiki/Q2034239","display_name":"Goodness of fit","level":2,"score":0.46062153577804565},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3920519948005676},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32751035690307617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19268569350242615},{"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/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3077136.3080757","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3080757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1707.06378","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1707.06378","pdf_url":"https://arxiv.org/pdf/1707.06378","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2739432281","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1707.06378.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1707.06378","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1707.06378","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1707.06378","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1707.06378","pdf_url":"https://arxiv.org/pdf/1707.06378","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7799999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2739432281.pdf","grobid_xml":"https://content.openalex.org/works/W2739432281.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W66373487","https://openalex.org/W1593045043","https://openalex.org/W1996430422","https://openalex.org/W2022204871","https://openalex.org/W2082291422","https://openalex.org/W2118020653","https://openalex.org/W2250243742","https://openalex.org/W2251294039","https://openalex.org/W2251506003","https://openalex.org/W2251648804","https://openalex.org/W2291000931","https://openalex.org/W2296487598","https://openalex.org/W2464521204","https://openalex.org/W3146306708","https://openalex.org/W4205184193"],"related_works":["https://openalex.org/W2617070002","https://openalex.org/W2058339786","https://openalex.org/W2129029517","https://openalex.org/W3108901980","https://openalex.org/W3091664666","https://openalex.org/W2794809337","https://openalex.org/W1546682063","https://openalex.org/W2985977640","https://openalex.org/W2181700659","https://openalex.org/W1518161249","https://openalex.org/W2134862224","https://openalex.org/W3038880648","https://openalex.org/W3096484002","https://openalex.org/W2990689087","https://openalex.org/W2734466706","https://openalex.org/W3166728183","https://openalex.org/W3196116497","https://openalex.org/W2979104320","https://openalex.org/W3100095637","https://openalex.org/W2972229821"],"abstract_inverted_index":{"We":[0,62],"transfer":[1],"a":[2,12,30,33,81,101,135,140,158],"key":[3],"idea":[4,98],"from":[5],"the":[6,27,41,45,52,59,78,85,89,97,109],"field":[7],"of":[8,35,80,143,152],"sentiment":[9,111,117],"analysis":[10],"to":[11,39,51,96,99,108,128],"new":[13],"domain:":[14],"community":[15],"question":[16,31,53],"answering":[17],"(cQA).":[18],"The":[19,146],"cQA":[20],"task":[21],"we":[22,37,121],"are":[23,48],"interested":[24],"in":[25,116,126,134],"is":[26],"following:":[28],"given":[29],"and":[32,72,162],"thread":[34],"comments,":[36,42],"want":[38],"re-rank":[40],"so":[43],"that":[44,47,64,73],"ones":[46],"good":[49,65],"answers":[50],"would":[54],"be":[55],"ranked":[56],"higher":[57],"than":[58],"bad":[60,67],"ones.":[61],"notice":[63],"vs.":[66],"comments":[68],"use":[69,122],"specific":[70],"vocabulary":[71],"one":[74],"can":[75],"often":[76],"predict":[77],"goodness/badness":[79],"comment":[82,90],"even":[83],"ignoring":[84],"question,":[86],"based":[87],"on":[88,166],"contents":[91],"only.":[92],"This":[93],"leads":[94],"us":[95],"build":[100,129],"good/bad":[102],"polarity":[103,112,132],"lexicon":[104],"as":[105],"an":[106,150],"analogy":[107],"positive/negative":[110],"lexicons,":[113],"commonly":[114],"used":[115],"analysis.":[118],"In":[119],"particular,":[120],"pointwise":[123],"mutual":[124],"information":[125],"order":[127],"large-scale":[130],"goodness":[131],"lexicons":[133],"semi-supervised":[136],"manner":[137],"starting":[138],"with":[139],"small":[141],"number":[142],"initial":[144],"seeds.":[145],"evaluation":[147],"results":[148],"show":[149],"improvement":[151],"0.7":[153],"MAP":[154],"points":[155],"absolute":[156],"over":[157],"very":[159],"strong":[160],"baseline,":[161],"state-of-the":[163],"art":[164],"performance":[165],"SemEval-2016":[167],"Task":[168],"3.":[169]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}