{"id":"https://openalex.org/W2888507208","doi":"https://doi.org/10.18653/v1/d18-1403","title":"Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised","display_name":"Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2888507208","doi":"https://doi.org/10.18653/v1/d18-1403","mag":"2888507208"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d18-1403","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1403","pdf_url":"https://www.aclweb.org/anthology/D18-1403.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D18-1403.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019319795","display_name":"Stefanos Angelidis","orcid":"https://orcid.org/0000-0003-3027-9690"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Stefanos Angelidis","raw_affiliation_strings":["Institute for Language, Cognition and Computation School of Informatics, University of Edinburgh 10 Crichton Street, Edinburgh EH8 9AB"],"affiliations":[{"raw_affiliation_string":"Institute for Language, Cognition and Computation School of Informatics, University of Edinburgh 10 Crichton Street, Edinburgh EH8 9AB","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041024491","display_name":"Mirella Lapata","orcid":"https://orcid.org/0000-0002-2107-1516"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mirella Lapata","raw_affiliation_strings":["Institute for Language, Cognition and Computation School of Informatics, University of Edinburgh 10 Crichton Street, Edinburgh EH8 9AB"],"affiliations":[{"raw_affiliation_string":"Institute for Language, Cognition and Computation School of Informatics, University of Edinburgh 10 Crichton Street, Edinburgh EH8 9AB","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019319795"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":17.7686,"has_fulltext":true,"cited_by_count":191,"citation_normalized_percentile":{"value":0.99274887,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9995999932289124,"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/automatic-summarization","display_name":"Automatic summarization","score":0.8712767958641052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8130347728729248},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.714762806892395},{"id":"https://openalex.org/keywords/salience","display_name":"Salience (neuroscience)","score":0.6374835968017578},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6342982053756714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5594407320022583},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.4849555492401123},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4833035469055176},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46888113021850586},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46326783299446106},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4451330900192261},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4357404410839081},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42525649070739746},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37188416719436646}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8712767958641052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8130347728729248},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.714762806892395},{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.6374835968017578},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6342982053756714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5594407320022583},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.4849555492401123},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4833035469055176},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46888113021850586},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46326783299446106},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4451330900192261},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4357404410839081},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42525649070739746},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37188416719436646},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/d18-1403","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1403","pdf_url":"https://www.aclweb.org/anthology/D18-1403.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:publications/618b503e-00a0-4074-b441-28c5884b8fda","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11820/618b503e-00a0-4074-b441-28c5884b8fda","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.18653/v1/d18-1403","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1403","pdf_url":"https://www.aclweb.org/anthology/D18-1403.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2888507208.pdf","grobid_xml":"https://content.openalex.org/works/W2888507208.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W66373487","https://openalex.org/W100656083","https://openalex.org/W222053410","https://openalex.org/W644717764","https://openalex.org/W912777836","https://openalex.org/W1522301498","https://openalex.org/W1832693441","https://openalex.org/W1939882552","https://openalex.org/W2027731328","https://openalex.org/W2045738181","https://openalex.org/W2066680326","https://openalex.org/W2067624665","https://openalex.org/W2079168273","https://openalex.org/W2081375810","https://openalex.org/W2093835839","https://openalex.org/W2096110600","https://openalex.org/W2108646579","https://openalex.org/W2115242108","https://openalex.org/W2129294185","https://openalex.org/W2134854314","https://openalex.org/W2135336649","https://openalex.org/W2145071407","https://openalex.org/W2150824314","https://openalex.org/W2152571774","https://openalex.org/W2153579005","https://openalex.org/W2154970197","https://openalex.org/W2159514277","https://openalex.org/W2160660844","https://openalex.org/W2169401582","https://openalex.org/W2251939518","https://openalex.org/W2252024663","https://openalex.org/W2270627573","https://openalex.org/W2399573548","https://openalex.org/W2461267643","https://openalex.org/W2559730228","https://openalex.org/W2567624515","https://openalex.org/W2597015119","https://openalex.org/W2741252866","https://openalex.org/W2769436106","https://openalex.org/W2962843214","https://openalex.org/W2963047186","https://openalex.org/W2963556938","https://openalex.org/W2963721761","https://openalex.org/W2964121744","https://openalex.org/W2964144561","https://openalex.org/W2977796275","https://openalex.org/W3101913037","https://openalex.org/W4237623536","https://openalex.org/W4248506559","https://openalex.org/W4294170691","https://openalex.org/W4299026567","https://openalex.org/W4313490656"],"related_works":["https://openalex.org/W4307308932","https://openalex.org/W2996124973","https://openalex.org/W2089705257","https://openalex.org/W4383427356","https://openalex.org/W4235368871","https://openalex.org/W2949519365","https://openalex.org/W4385571435","https://openalex.org/W2115204123","https://openalex.org/W3124708012","https://openalex.org/W2090639704"],"abstract_inverted_index":{"We":[0,66],"present":[1],"a":[2,54,58,74,108],"neural":[3],"framework":[4],"for":[5],"opinion":[6,69,98,114],"summarization":[7,70],"from":[8,46,80],"online":[9],"product":[10,25,78],"reviews":[11,79],"which":[12],"is":[13],"knowledge-lean":[14],"and":[15,28,42,57,84,87,97,107],"only":[16],"requires":[17],"light":[18],"supervision":[19],"(e.g.,":[20],"in":[21],"the":[22],"form":[23,43],"of":[24,77],"domain":[26],"labels":[27],"user-provided":[29],"ratings).":[30],"Our":[31],"method":[32],"combines":[33],"two":[34],"weakly":[35],"supervised":[36],"components":[37],"to":[38,122],"identify":[39],"salient":[40],"opinions":[41],"extractive":[44],"summaries":[45,115],"multiple":[47,63,123],"reviews:":[48],"an":[49,68],"aspect":[50,93],"extractor":[51],"trained":[52],"under":[53],"multi-task":[55],"objective,":[56],"sentiment":[59],"predictor":[60],"based":[61],"on":[62],"instance":[64],"learning.":[65],"introduce":[67],"dataset":[71],"that":[72,112],"includes":[73],"training":[75],"set":[76],"six":[81],"diverse":[82],"domains":[83],"human-annotated":[85],"development":[86],"test":[88],"sets":[89],"with":[90],"gold":[91],"standard":[92],"annotations,":[94],"salience":[95],"labels,":[96],"summaries.":[99],"Automatic":[100],"evaluation":[101],"shows":[102],"significant":[103],"improvements":[104],"over":[105],"baselines,":[106],"largescale":[109],"study":[110],"indicates":[111],"our":[113],"are":[116],"preferred":[117],"by":[118],"human":[119],"judges":[120],"according":[121],"criteria.":[124],"1":[125]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":39},{"year":2021,"cited_by_count":48},{"year":2020,"cited_by_count":34},{"year":2019,"cited_by_count":23}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}