{"id":"https://openalex.org/W2511498338","doi":"https://doi.org/10.18653/v1/w16-1607","title":"Adjusting Word Embeddings with Semantic Intensity Orders","display_name":"Adjusting Word Embeddings with Semantic Intensity Orders","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2511498338","doi":"https://doi.org/10.18653/v1/w16-1607","mag":"2511498338"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w16-1607","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-1607","pdf_url":"https://www.aclweb.org/anthology/W16-1607.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 1st Workshop on Representation Learning for NLP","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W16-1607.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039966562","display_name":"Joo-Kyung Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Joo-Kyung Kim","raw_affiliation_strings":["Department of Computer Science and Engineering,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112862689","display_name":"Marie-Catherine de Marneffe","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marie-Catherine de Marneffe","raw_affiliation_strings":["Department of Linguistics, The Ohio State University, Columbus, Ohio 43210, USA"],"affiliations":[{"raw_affiliation_string":"Department of Linguistics, The Ohio State University, Columbus, Ohio 43210, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056667180","display_name":"Eric Fosler\u2010Lussier","orcid":"https://orcid.org/0000-0001-8004-5169"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eric Fosler-Lussier","raw_affiliation_strings":["Department of Computer Science and Engineering,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering,","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039966562"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.4351,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.95079743,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"62","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","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/T11550","display_name":"Text and Document Classification Technologies","score":0.9976999759674072,"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/wordnet","display_name":"WordNet","score":0.9458675980567932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7685848474502563},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7084673047065735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6757653951644897},{"id":"https://openalex.org/keywords/adjective","display_name":"Adjective","score":0.6462665796279907},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6139042377471924},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4996805191040039},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3470900356769562},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.20315751433372498},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14603939652442932}],"concepts":[{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.9458675980567932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7685848474502563},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7084673047065735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6757653951644897},{"id":"https://openalex.org/C2777683214","wikidata":"https://www.wikidata.org/wiki/Q34698","display_name":"Adjective","level":3,"score":0.6462665796279907},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6139042377471924},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4996805191040039},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3470900356769562},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.20315751433372498},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14603939652442932},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/w16-1607","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-1607","pdf_url":"https://www.aclweb.org/anthology/W16-1607.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 1st Workshop on Representation Learning for NLP","raw_type":"proceedings-article"},{"id":"pmh:oai:dial.uclouvain.be:boreal:278963","is_oa":true,"landing_page_url":"http://hdl.handle.net/2078.1/278963","pdf_url":null,"source":{"id":"https://openalex.org/S4306401902","display_name":"Digital Access to Libraries (Universit\u00e9 catholique de Louvain (UCL), l'Universit\u00e9 de Namur (UNamur) and the Universit\u00e9 Saint-Louis (USL-B))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I95674353","host_organization_name":"UCLouvain","host_organization_lineage":["https://openalex.org/I95674353"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 1st Workshop on Representation Learning for NLP.,","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.18653/v1/w16-1607","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-1607","pdf_url":"https://www.aclweb.org/anthology/W16-1607.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 1st Workshop on Representation Learning for NLP","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2511498338.pdf","grobid_xml":"https://content.openalex.org/works/W2511498338.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W10376690","https://openalex.org/W1503259811","https://openalex.org/W1532059969","https://openalex.org/W1614298861","https://openalex.org/W1814992895","https://openalex.org/W1854884267","https://openalex.org/W2038721957","https://openalex.org/W2073459066","https://openalex.org/W2114661200","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2141599568","https://openalex.org/W2148242063","https://openalex.org/W2155227495","https://openalex.org/W2250539671","https://openalex.org/W2250635077","https://openalex.org/W2250683455","https://openalex.org/W2251387237","https://openalex.org/W2251882135","https://openalex.org/W2251979305","https://openalex.org/W2252158512","https://openalex.org/W2293848960","https://openalex.org/W2294542797","https://openalex.org/W2882319491","https://openalex.org/W2949697461","https://openalex.org/W2964232431"],"related_works":["https://openalex.org/W2043952800","https://openalex.org/W2047143235","https://openalex.org/W2957377172","https://openalex.org/W1499795620","https://openalex.org/W2165693052","https://openalex.org/W112738600","https://openalex.org/W2164877079","https://openalex.org/W2113471940","https://openalex.org/W252296781","https://openalex.org/W2569513598"],"abstract_inverted_index":{"Semantic":[0],"lexicons":[1,25],"such":[2,24],"as":[3],"WordNet":[4,60],"and":[5,57,61,63],"PPDB":[6],"have":[7],"been":[8],"used":[9],"to":[10,35,55],"improve":[11],"the":[12,20,49],"vector-based":[13],"semantic":[14,27,38,50,69],"representations":[15],"of":[16,32,72],"words":[17],"by":[18],"adjusting":[19],"word":[21,46],"vectors.":[22],"However,":[23],"lack":[26],"intensity":[28,39,51,70],"information,":[29],"inhibiting":[30],"adjustment":[31],"vector":[33],"spaces":[34],"better":[36],"represent":[37],"scales.":[40],"In":[41],"this":[42],"work,":[43],"we":[44],"adjust":[45],"vectors":[47],"using":[48],"information":[52],"in":[53],"addition":[54],"synonyms":[56],"antonyms":[58],"from":[59],"PPDB,":[62],"show":[64],"improved":[65],"performance":[66],"on":[67,75],"judging":[68],"orders":[71],"adjective":[73],"pairs":[74],"three":[76],"different":[77],"human":[78],"annotated":[79],"datasets.":[80]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}