{"id":"https://openalex.org/W2741520900","doi":"https://doi.org/10.18653/v1/p17-1087","title":"Semantic Word Clusters Using Signed Spectral Clustering","display_name":"Semantic Word Clusters Using Signed Spectral Clustering","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2741520900","doi":"https://doi.org/10.18653/v1/p17-1087","mag":"2741520900"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p17-1087","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1087","pdf_url":"https://www.aclweb.org/anthology/P17-1087.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 55th Annual Meeting of the Association for\n          Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P17-1087.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058954591","display_name":"Jo\u00e3o Sedoc","orcid":"https://orcid.org/0000-0001-6369-3711"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joao Sedoc","raw_affiliation_strings":["Computer & Information Science University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"Computer & Information Science University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016407219","display_name":"Jean Gallier","orcid":null},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jean Gallier","raw_affiliation_strings":["Computer & Information Science University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"Computer & Information Science University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112767220","display_name":"Dean P. Foster","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089985","display_name":"Amazon (Germany)","ror":"https://ror.org/00b9ktm87","country_code":"DE","type":"company","lineage":["https://openalex.org/I1311688040","https://openalex.org/I4210089985"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dean Foster","raw_affiliation_strings":["Amazon LLC"],"affiliations":[{"raw_affiliation_string":"Amazon LLC","institution_ids":["https://openalex.org/I4210089985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044944954","display_name":"Lyle Ungar","orcid":"https://orcid.org/0000-0003-2047-1443"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lyle Ungar","raw_affiliation_strings":["Computer & Information Science University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"Computer & Information Science University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044944954"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":1.5602,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87308741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"939","last_page":"949"},"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/T10181","display_name":"Natural Language Processing Techniques","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":0.9991999864578247,"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/cluster-analysis","display_name":"Cluster analysis","score":0.712534487247467},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7078460454940796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6227288842201233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6204174757003784},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.526979923248291},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.524266242980957},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46349358558654785},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45757150650024414},{"id":"https://openalex.org/keywords/synonym","display_name":"Synonym (taxonomy)","score":0.44965270161628723},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.438373327255249},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.4333038926124573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37519216537475586}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.712534487247467},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7078460454940796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6227288842201233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6204174757003784},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.526979923248291},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.524266242980957},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46349358558654785},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45757150650024414},{"id":"https://openalex.org/C173483453","wikidata":"https://www.wikidata.org/wiki/Q1040689","display_name":"Synonym (taxonomy)","level":3,"score":0.44965270161628723},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.438373327255249},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.4333038926124573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37519216537475586},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C157369684","wikidata":"https://www.wikidata.org/wiki/Q34740","display_name":"Genus","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p17-1087","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1087","pdf_url":"https://www.aclweb.org/anthology/P17-1087.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 55th Annual Meeting of the Association for\n          Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p17-1087","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1087","pdf_url":"https://www.aclweb.org/anthology/P17-1087.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 55th Annual Meeting of the Association for\n          Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2741520900.pdf","grobid_xml":"https://content.openalex.org/works/W2741520900.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W108936587","https://openalex.org/W1241017059","https://openalex.org/W1480376833","https://openalex.org/W1503259811","https://openalex.org/W1521908097","https://openalex.org/W1614298861","https://openalex.org/W1662133657","https://openalex.org/W1832693441","https://openalex.org/W1854884267","https://openalex.org/W1980769375","https://openalex.org/W2072323436","https://openalex.org/W2089173648","https://openalex.org/W2097308346","https://openalex.org/W2098044836","https://openalex.org/W2101251342","https://openalex.org/W2104876468","https://openalex.org/W2107229268","https://openalex.org/W2114051435","https://openalex.org/W2117756735","https://openalex.org/W2119227770","https://openalex.org/W2121947440","https://openalex.org/W2124246957","https://openalex.org/W2128823172","https://openalex.org/W2135674549","https://openalex.org/W2150159277","https://openalex.org/W2150671924","https://openalex.org/W2164019165","https://openalex.org/W2166776180","https://openalex.org/W2183945364","https://openalex.org/W2250539671","https://openalex.org/W2250879510","https://openalex.org/W2251044566","https://openalex.org/W2251939518","https://openalex.org/W2251979305","https://openalex.org/W2294542797","https://openalex.org/W2295657959","https://openalex.org/W2496889969","https://openalex.org/W2556114170","https://openalex.org/W2882319491","https://openalex.org/W2913107326","https://openalex.org/W2950577311","https://openalex.org/W2952362591","https://openalex.org/W2963302148","https://openalex.org/W2963366649","https://openalex.org/W2964232431","https://openalex.org/W4255198209","https://openalex.org/W4296130438","https://openalex.org/W4386506836"],"related_works":["https://openalex.org/W2376156759","https://openalex.org/W2385868535","https://openalex.org/W2757842199","https://openalex.org/W2389730202","https://openalex.org/W3086033917","https://openalex.org/W2010484471","https://openalex.org/W2996120227","https://openalex.org/W2375068342","https://openalex.org/W4312264180","https://openalex.org/W2361189838"],"abstract_inverted_index":{"Vector":[0],"space":[1,44],"representations":[2,79],"of":[3,8,80,100,123,131],"words":[4,38,101],"capture":[5,104],"many":[6],"aspects":[7],"word":[9,36,87,124,134],"similarity,":[10],"but":[11],"such":[12,35],"methods":[13],"tend":[14],"to":[15,28],"produce":[16],"vector":[17,43,78],"spaces":[18],"in":[19,41],"which":[20],"antonyms":[21,53],"(as":[22],"well":[23],"as":[24],"synonyms)":[25],"are":[26,39,47,54,89],"close":[27],"each":[29],"other.":[30],"For":[31],"spectral":[32,64,112],"clustering":[33,96],"using":[34,110,118,132],"embeddings,":[37],"points":[40],"a":[42,61],"where":[45],"synonyms":[46],"linked":[48,55],"with":[49,56],"positive":[50],"weights,":[51],"while":[52],"negative":[57,92],"weights.":[58,93],"We":[59,114],"present":[60],"new":[62],"signed":[63,69,95],"normalized":[65],"graph":[66],"cut":[67],"algorithm,":[68],"clustering,":[70],"that":[71,83,102],"overlays":[72],"existing":[73],"thesauri":[74],"upon":[75],"distributionally":[76],"derived":[77],"words,":[81],"so":[82],"antonym":[84],"relationships":[85],"between":[86],"pairs":[88],"represented":[90],"by":[91],"Our":[94],"algorithm":[97],"produces":[98],"clusters":[99,117,135],"simultaneously":[103],"distributional":[105],"and":[106,127],"synonym":[107],"relations.":[108],"By":[109],"randomized":[111],"decomposition":[113],"validate":[115],"our":[116,133],"datasets":[119],"containing":[120],"human":[121],"judgments":[122],"pair":[125],"similarities":[126],"show":[128],"the":[129],"benefit":[130],"for":[136],"sentiment":[137],"prediction.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}