{"id":"https://openalex.org/W2912409473","doi":null,"title":"Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing","display_name":"Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing","publication_year":2006,"publication_date":"2006-07-22","ids":{"openalex":"https://openalex.org/W2912409473","mag":"2912409473"},"language":"en","primary_location":{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-034217295","doi":null,"is_oa":false,"landing_page_url":"https://dl.acm.org/action/showBook?doi=10.5555%2F1610075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"software, multimedia"},"volume":null,"type":"other","is_traditional":false,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087088138","display_name":"Dan Jurafsky","orcid":"https://orcid.org/0000-0002-6459-7745","observed_orcids":["https://orcid.org/0000-0002-6459-7745"]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Jurafsky","raw_affiliation_strings":["Stanford University ()"],"raw_orcid":"https://orcid.org/0000-0002-6459-7745","affiliations":[{"raw_affiliation_string":"Stanford University ()","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014352159","display_name":"\u00c9ric Gaussier","orcid":"https://orcid.org/0000-0002-8858-3233","observed_orcids":["https://orcid.org/0000-0002-8858-3233"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u00c9ric Gaussier","raw_affiliation_strings":["Xerox Research Centre Europe"],"raw_orcid":"https://orcid.org/0000-0002-8858-3233","affiliations":[{"raw_affiliation_string":"Xerox Research Centre Europe","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":200,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10181","display_name":"Natural Language Processing Techniques","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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","score":0.0005000000237487257,"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/T12031","display_name":"Speech and dialogue systems","score":0.00019999999494757503,"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/linguistic-data","display_name":"linguistic data","score":0.8859999775886536},{"id":"https://openalex.org/keywords/corpus-based-approach","display_name":"corpus-based approach","score":0.8859999775886536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7663313746452332},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5585301518440247},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.48905596137046814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.478715181350708},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4713282883167267},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.4111214876174927},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3325497508049011},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.14037549495697021},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.06304797530174255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06106635928153992},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05508747696876526},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-034217295","doi":null,"is_oa":false,"landing_page_url":"https://dl.acm.org/action/showBook?doi=10.5555%2F1610075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"software, multimedia"},{"id":"mag:2912409473","doi":null,"is_oa":false,"landing_page_url":"https://dl.acm.org/citation.cfm?id=1610075","pdf_url":null,"source":{"id":"https://openalex.org/S4363608991","display_name":"Conference on Empirical Methods in Natural Language Processing (EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Empirical Methods in Natural Language Processing","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2607522728","https://openalex.org/W7096999284","https://openalex.org/W2601061983","https://openalex.org/W6964260712","https://openalex.org/W3150372367","https://openalex.org/W2606774776","https://openalex.org/W2914855933","https://openalex.org/W2605254462","https://openalex.org/W2599774723","https://openalex.org/W64002976"],"abstract_inverted_index":{"We":[0],"are":[1],"delighted":[2],"to":[3,35,60],"introduce":[4],"the":[5,8,20,24,79],"proceedings":[6],"of":[7,22,52,67,78],"11th":[9],"Conference":[10],"on":[11],"Empirical":[12],"Methods":[13],"in":[14],"Natural":[15],"Language":[16],"Processing,":[17],"organized":[18],"under":[19],"auspices":[21],"SIGDAT,":[23],"ACL":[25],"Special":[26],"Interest":[27],"Group":[28],"for":[29,42,70],"linguistic":[30],"data":[31],"and":[32,74,85],"corpus-based":[33],"approaches":[34],"NLP.\r\n\r\nThis":[36],"was":[37],"a":[38],"wonderfully":[39],"fruitful":[40],"year":[41],"EMNLP;":[43],"we":[44,57],"received":[45],"234":[46],"submissions,":[47],"drawn":[48],"from":[49],"every":[50],"area":[51],"language":[53],"processing.":[54],"Of":[55],"these":[56],"were":[58,81],"able":[59],"accept":[61],"73":[62],"papers":[63,80],"(an":[64],"acceptance":[65],"rate":[66],"31%),":[68],"making":[69],"an":[71],"unusually":[72],"broad":[73],"exciting":[75],"program.":[76],"43":[77],"presented":[82],"as":[83,87],"talks,":[84],"30":[86],"posters.":[88]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":19},{"year":2016,"cited_by_count":18},{"year":2015,"cited_by_count":18},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":6}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2019-02-21T00:00:00"}