{"id":"https://openalex.org/W2252223793","doi":"https://doi.org/10.3115/v1/w14-0802","title":"A Supervised Model for Extraction of Multiword Expressions, Based on Statistical Context Features","display_name":"A Supervised Model for Extraction of Multiword Expressions, Based on Statistical Context Features","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2252223793","doi":"https://doi.org/10.3115/v1/w14-0802","mag":"2252223793"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w14-0802","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-0802","pdf_url":"https://aclanthology.org/W14-0802.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 10th Workshop on Multiword Expressions (MWE)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/W14-0802.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060826374","display_name":"Meghdad Farahmand","orcid":null},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Meghdad Farahmand","raw_affiliation_strings":["The Computer Science Center","UNDL Foundation Geneva -Switzerland","University of Geneva Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Computer Science Center","institution_ids":[]},{"raw_affiliation_string":"UNDL Foundation Geneva -Switzerland","institution_ids":[]},{"raw_affiliation_string":"University of Geneva Switzerland","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102345971","display_name":"Ronaldo Teixeira Martins","orcid":null},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ronaldo Martins","raw_affiliation_strings":["The Computer Science Center","UNDL Foundation Geneva -Switzerland","University of Geneva Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Computer Science Center","institution_ids":[]},{"raw_affiliation_string":"UNDL Foundation Geneva -Switzerland","institution_ids":[]},{"raw_affiliation_string":"University of Geneva Switzerland","institution_ids":["https://openalex.org/I114457229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114457229"],"apc_list":null,"apc_paid":null,"fwci":1.8609,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88547236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"10","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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":0.9969000220298767,"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/computer-science","display_name":"Computer science","score":0.8117101788520813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6222596168518066},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5643638968467712},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49055832624435425},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.46401914954185486},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.44943463802337646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8117101788520813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6222596168518066},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5643638968467712},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49055832624435425},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.46401914954185486},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.44943463802337646},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/v1/w14-0802","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-0802","pdf_url":"https://aclanthology.org/W14-0802.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 10th Workshop on Multiword Expressions (MWE)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.672.2012","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.672.2012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.aclweb.org/anthology/W/W14/W14-0802.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/w14-0802","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-0802","pdf_url":"https://aclanthology.org/W14-0802.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 10th Workshop on Multiword Expressions (MWE)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7699999809265137,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2252223793.pdf","grobid_xml":"https://content.openalex.org/works/W2252223793.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W99580251","https://openalex.org/W1480519300","https://openalex.org/W1498763386","https://openalex.org/W1502766350","https://openalex.org/W1518902157","https://openalex.org/W1587989021","https://openalex.org/W1592073433","https://openalex.org/W1592324698","https://openalex.org/W1596902275","https://openalex.org/W1940278502","https://openalex.org/W1982766969","https://openalex.org/W2004763266","https://openalex.org/W2020278455","https://openalex.org/W2023889887","https://openalex.org/W2030764372","https://openalex.org/W2042085493","https://openalex.org/W2042380438","https://openalex.org/W2044157185","https://openalex.org/W2058612241","https://openalex.org/W2065186941","https://openalex.org/W2065925951","https://openalex.org/W2091477393","https://openalex.org/W2101196694","https://openalex.org/W2102910670","https://openalex.org/W2108717659","https://openalex.org/W2113212090","https://openalex.org/W2119656664","https://openalex.org/W2127932547","https://openalex.org/W2128192613","https://openalex.org/W2142674468","https://openalex.org/W2159176464","https://openalex.org/W2612964120"],"related_works":["https://openalex.org/W2611614995","https://openalex.org/W2368651715","https://openalex.org/W2789919619","https://openalex.org/W1552159754","https://openalex.org/W2148757832","https://openalex.org/W4321496520","https://openalex.org/W2293457016","https://openalex.org/W3169305685","https://openalex.org/W3107474891","https://openalex.org/W2596494451"],"abstract_inverted_index":{"We":[0,21,44],"present":[1],"a":[2,18,40,48,53],"method":[3],"for":[4],"extracting":[5],"Multiword":[6],"Expressions":[7],"(MWEs)":[8],"based":[9],"on":[10],"the":[11],"immediate":[12],"context":[13,46],"they":[14],"occur":[15],"in,":[16],"using":[17],"supervised":[19],"model.":[20],"show":[22],"some":[23],"of":[24,55],"these":[25],"contextual":[26],"features":[27,37],"can":[28],"be":[29],"very":[30],"discriminant":[31],"and":[32,51],"combining":[33],"them":[34],"with":[35],"MWEspecific":[36],"results":[38],"in":[39],"relatively":[41],"accurate":[42],"extraction.":[43],"define":[45],"as":[47],"sequential":[49],"structure":[50],"not":[52],"bag":[54],"words,":[56],"consequently,":[57],"it":[58],"becomes":[59],"much":[60],"more":[61],"informative":[62],"about":[63],"MWEs.":[64]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}