{"id":"https://openalex.org/W2168248941","doi":null,"title":"A Pilot Study of Opinion Summarization in Conversations","display_name":"A Pilot Study of Opinion Summarization in Conversations","publication_year":2011,"publication_date":"2011-06-19","ids":{"openalex":"https://openalex.org/W2168248941","mag":"2168248941"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.207.5732","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.5732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology-new/P/P11/P11-1034.pdf","raw_type":"text"},"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/A5100391517","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0002-9599-8023","observed_orcids":["https://orcid.org/0000-0002-9599-8023"]},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["The University of Texas at Dallas"],"raw_orcid":"https://orcid.org/0000-0002-9599-8023","affiliations":[{"raw_affiliation_string":"The University of Texas at Dallas","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-7300-9215","observed_orcids":["https://orcid.org/0000-0001-7300-9215"]},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["The University of Texas at Dallas"],"raw_orcid":"https://orcid.org/0000-0001-7300-9215","affiliations":[{"raw_affiliation_string":"The University of Texas at Dallas","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":2.0979,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.88064651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"331","last_page":"339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9121000170707703,"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":0.9121000170707703,"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":0.05660000070929527,"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/T12031","display_name":"Speech and dialogue systems","score":0.021400000900030136,"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/opinion-summarization","display_name":"opinion summarization","score":0.9990000128746033},{"id":"https://openalex.org/keywords/dialogue-summarization","display_name":"dialogue summarization","score":0.7160000205039978},{"id":"https://openalex.org/keywords/telephone-conversation","display_name":"telephone conversation","score":0.9490000009536743},{"id":"https://openalex.org/keywords/extractive-summarization","display_name":"extractive summarization","score":0.9589999914169312},{"id":"https://openalex.org/keywords/abstractive-summarization","display_name":"abstractive summarization","score":0.9940000176429749},{"id":"https://openalex.org/keywords/sentence-ranking","display_name":"sentence ranking","score":0.8989999890327454},{"id":"https://openalex.org/keywords/graph-based-summarization","display_name":"graph-based summarization","score":0.9750000238418579},{"id":"https://openalex.org/keywords/dialogue-structure","display_name":"dialogue structure","score":0.9259999990463257},{"id":"https://openalex.org/keywords/sentiment","display_name":"sentiment","score":0.41600000858306885},{"id":"https://openalex.org/keywords/subjectivity","display_name":"subjectivity","score":0.6990000009536743},{"id":"https://openalex.org/keywords/topical-relevance","display_name":"topic relevance","score":0.7839999794960022}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.901236355304718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8132531642913818},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7479645013809204},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7066429257392883},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6495187282562256},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5817217826843262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.56456059217453},{"id":"https://openalex.org/C202889954","wikidata":"https://www.wikidata.org/wiki/Q1139554","display_name":"Subjectivity","level":2,"score":0.561781644821167},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5250744223594666},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4888136088848114},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4454525113105774},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.44259533286094666},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.43638044595718384},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.207.5732","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.5732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology-new/P/P11/P11-1034.pdf","raw_type":"text"},{"id":"mag:2168248941","doi":null,"is_oa":false,"landing_page_url":"http://dblp.uni-trier.de/db/conf/acl/acl2011.html#WangL11","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Meeting of the Association for Computational Linguistics","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":31,"referenced_works":["https://openalex.org/W2439194","https://openalex.org/W44262497","https://openalex.org/W52724552","https://openalex.org/W144220174","https://openalex.org/W1493379323","https://openalex.org/W1569041844","https://openalex.org/W1578268952","https://openalex.org/W1831406492","https://openalex.org/W1971123094","https://openalex.org/W1994118833","https://openalex.org/W1998720920","https://openalex.org/W1999180776","https://openalex.org/W2011950632","https://openalex.org/W2061504941","https://openalex.org/W2081375810","https://openalex.org/W2097321121","https://openalex.org/W2098717097","https://openalex.org/W2100529970","https://openalex.org/W2110693578","https://openalex.org/W2114524997","https://openalex.org/W2117390600","https://openalex.org/W2118027802","https://openalex.org/W2120128255","https://openalex.org/W2125382827","https://openalex.org/W2125420881","https://openalex.org/W2140365917","https://openalex.org/W2145565331","https://openalex.org/W2147574893","https://openalex.org/W2152789372","https://openalex.org/W2154652894","https://openalex.org/W2160660844"],"related_works":["https://openalex.org/W237692201","https://openalex.org/W2162944827","https://openalex.org/W2586561586","https://openalex.org/W2250883848","https://openalex.org/W7097896170","https://openalex.org/W3034352114","https://openalex.org/W2084244518","https://openalex.org/W1939882552","https://openalex.org/W2762751515","https://openalex.org/W3195513675"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,13,24,43,65],"pilot":[4],"study":[5],"of":[6,20],"opinion":[7,22],"summarization":[8],"on":[9,84],"conversations.":[10,30],"We":[11,31],"create":[12],"corpus":[14],"containing":[15],"extractive":[16,37],"and":[17,58,71],"abstractive":[18],"summaries":[19],"speaker\u2019s":[21],"towards":[23],"given":[25],"topic":[26,55,70],"using":[27],"88":[28],"telephone":[29],"adopt":[32],"two":[33],"methods":[34,93],"to":[35,117],"perform":[36],"summarization.":[38],"The":[39,61],"first":[40],"one":[41,63],"is":[42,64],"sentence-ranking":[44],"method":[45,115],"that":[46,91,99,108],"linearly":[47],"combines":[48],"scores":[49],"measured":[50],"from":[51],"different":[52],"aspects":[53],"including":[54],"relevance,":[56],"subjectivity,":[57],"sentence":[59],"importance.":[60],"second":[62],"graph-based":[66,114],"method,":[67],"which":[68],"incorporates":[69],"sentiment":[72],"information,":[73],"as":[74,76],"well":[75],"additional":[77],"information":[78],"about":[79],"sentence-to-sentence":[80],"relations":[81],"extracted":[82],"based":[83],"dialogue":[85,110],"structure.":[86],"Our":[87],"evaluation":[88],"results":[89],"show":[90],"both":[92],"significantly":[94],"outperform":[95],"the":[96,101,113,118],"baseline":[97],"approach":[98],"extracts":[100],"longest":[102],"utterances.":[103],"In":[104],"particular,":[105],"we":[106],"find":[107],"incorporating":[109],"structure":[111],"in":[112],"contributes":[116],"improved":[119],"system":[120],"performance.":[121],"1":[122]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
