{"id":"https://openalex.org/W2740540529","doi":"https://doi.org/10.18653/v1/e17-2036","title":"BabelDomains: Large-Scale Domain Labeling of Lexical Resources","display_name":"BabelDomains: Large-Scale Domain Labeling of Lexical Resources","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2740540529","doi":"https://doi.org/10.18653/v1/e17-2036","mag":"2740540529"},"language":"en","primary_location":{"id":"doi:10.18653/v1/e17-2036","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/e17-2036","pdf_url":"https://www.aclweb.org/anthology/E17-2036.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 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/E17-2036.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086289154","display_name":"Jos\u00e9 Camacho-Collados","orcid":"https://orcid.org/0000-0003-1618-7239"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jose Camacho-Collados","raw_affiliation_strings":["Department of Computer Science Sapienza University of Rome"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Sapienza University of Rome","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026648049","display_name":"Roberto Navigli","orcid":"https://orcid.org/0000-0003-3831-9706"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Roberto Navigli","raw_affiliation_strings":["Department of Computer Science Sapienza University of Rome"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Sapienza University of Rome","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5026648049"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4916,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.92668273,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"223","last_page":"228"},"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":0.9998999834060669,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9968000054359436,"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":0.9003085494041443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8454842567443848},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6142715215682983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5971401929855347},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5813615918159485},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5578219890594482},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4948257803916931},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45769697427749634},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.410390704870224},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3949970006942749},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.06736987829208374},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06113475561141968}],"concepts":[{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.9003085494041443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8454842567443848},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6142715215682983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5971401929855347},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5813615918159485},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5578219890594482},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4948257803916931},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45769697427749634},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.410390704870224},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3949970006942749},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.06736987829208374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06113475561141968},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/e17-2036","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/e17-2036","pdf_url":"https://www.aclweb.org/anthology/E17-2036.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 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:54348","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/54348","pdf_url":null,"source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"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":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"doi:10.18653/v1/e17-2036","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/e17-2036","pdf_url":"https://www.aclweb.org/anthology/E17-2036.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 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short 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/W2740540529.pdf","grobid_xml":"https://content.openalex.org/works/W2740540529.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W22702538","https://openalex.org/W22861983","https://openalex.org/W1519776800","https://openalex.org/W1557632449","https://openalex.org/W2048180198","https://openalex.org/W2079478118","https://openalex.org/W2111362445","https://openalex.org/W2120354757","https://openalex.org/W2120699290","https://openalex.org/W2120708938","https://openalex.org/W2126725946","https://openalex.org/W2148440006","https://openalex.org/W2161103800","https://openalex.org/W2168565044","https://openalex.org/W2250418535","https://openalex.org/W2251797829","https://openalex.org/W2296653400","https://openalex.org/W2512160190","https://openalex.org/W2517456239","https://openalex.org/W2561885448","https://openalex.org/W2565214228","https://openalex.org/W2964325543","https://openalex.org/W3146885639"],"related_works":["https://openalex.org/W2900382651","https://openalex.org/W1981879262","https://openalex.org/W2363417484","https://openalex.org/W4225863708","https://openalex.org/W1480103567","https://openalex.org/W1599970036","https://openalex.org/W1849827364","https://openalex.org/W2786299737","https://openalex.org/W115324854","https://openalex.org/W2057287901"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,63],"present":[4],"BabelDomains,":[5],"a":[6,55,70],"unified":[7],"resource":[8],"which":[9],"provides":[10],"lexical":[11,29,49],"items":[12],"with":[13],"information":[14],"about":[15],"domains":[16],"of":[17,67],"knowledge.":[18],"We":[19,42],"propose":[20],"an":[21],"automatic":[22],"method":[23],"that":[24],"uses":[25],"knowledge":[26],"from":[27],"various":[28],"resources,":[30],"exploiting":[31],"both":[32,60],"distributional":[33],"and":[34,52],"graph-based":[35],"clues,":[36],"to":[37],"accurately":[38],"propagate":[39],"domain":[40,78],"information.":[41],"evaluate":[43],"our":[44],"methodology":[45],"intrinsically":[46],"on":[47],"two":[48],"resources":[50],"(WordNet":[51],"Ba-belNet),":[53],"achieving":[54],"precision":[56],"over":[57],"80%":[58],"in":[59,69],"cases.":[61],"Finally,":[62],"show":[64],"the":[65],"potential":[66],"BabelDomains":[68],"supervised":[71],"learning":[72],"setting,":[73],"clustering":[74],"training":[75],"data":[76],"by":[77],"for":[79],"hypernym":[80],"discovery.":[81]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
