{"id":"https://openalex.org/W2157758844","doi":"https://doi.org/10.3115/1220175.1220235","title":"Factorizing complex models","display_name":"Factorizing complex models","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2157758844","doi":"https://doi.org/10.3115/1220175.1220235","mag":"2157758844"},"language":"en","primary_location":{"id":"doi:10.3115/1220175.1220235","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1220175.1220235","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1220175.1220235","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL  - ACL '06","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.3115/1220175.1220235","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113515054","display_name":"Radu Florian","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Radu Florian","raw_affiliation_strings":["IBM TJ Watson Research Center, Yorktown Heights, NY"],"affiliations":[{"raw_affiliation_string":"IBM TJ Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109854182","display_name":"Hongyan Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongyan Jing","raw_affiliation_strings":["IBM TJ Watson Research Center, Yorktown Heights, NY"],"affiliations":[{"raw_affiliation_string":"IBM TJ Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108259126","display_name":"Nanda Kambhatla","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nanda Kambhatla","raw_affiliation_strings":["IBM TJ Watson Research Center, Yorktown Heights, NY"],"affiliations":[{"raw_affiliation_string":"IBM TJ Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108365460","display_name":"Imed Zitouni","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Imed Zitouni","raw_affiliation_strings":["IBM TJ Watson Research Center, Yorktown Heights, NY"],"affiliations":[{"raw_affiliation_string":"IBM TJ Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113515054"],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":null,"apc_paid":null,"fwci":3.1622,"has_fulltext":true,"cited_by_count":43,"citation_normalized_percentile":{"value":0.92172321,"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":"473","last_page":"480"},"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.859795093536377},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7707138061523438},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6767102479934692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6135183572769165},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5508090853691101},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.531391978263855},{"id":"https://openalex.org/keywords/named-entity","display_name":"Named entity","score":0.5184078216552734},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4771130383014679},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4652095437049866},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4495583176612854},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3085533082485199},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.20077210664749146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.859795093536377},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7707138061523438},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6767102479934692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6135183572769165},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5508090853691101},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.531391978263855},{"id":"https://openalex.org/C2777889803","wikidata":"https://www.wikidata.org/wiki/Q25047676","display_name":"Named entity","level":2,"score":0.5184078216552734},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4771130383014679},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4652095437049866},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4495583176612854},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3085533082485199},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.20077210664749146},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/1220175.1220235","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1220175.1220235","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1220175.1220235","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL  - ACL '06","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/1220175.1220235","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1220175.1220235","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1220175.1220235","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL  - ACL '06","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2157758844.pdf","grobid_xml":"https://content.openalex.org/works/W2157758844.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1500614872","https://openalex.org/W1574901103","https://openalex.org/W1592796124","https://openalex.org/W1632114991","https://openalex.org/W1934019294","https://openalex.org/W1973452851","https://openalex.org/W1997938337","https://openalex.org/W2006960009","https://openalex.org/W2008830554","https://openalex.org/W2049633694","https://openalex.org/W2081580037","https://openalex.org/W2113002216","https://openalex.org/W2144348168","https://openalex.org/W2144578941","https://openalex.org/W2145216370","https://openalex.org/W2158823144","https://openalex.org/W2914746235","https://openalex.org/W2915429162","https://openalex.org/W3088640591","https://openalex.org/W3088738244","https://openalex.org/W4229514604"],"related_works":["https://openalex.org/W3140537242","https://openalex.org/W2186562580","https://openalex.org/W3133906981","https://openalex.org/W2155874911","https://openalex.org/W2015784841","https://openalex.org/W4288047282","https://openalex.org/W2032007337","https://openalex.org/W4255258373","https://openalex.org/W2593907245","https://openalex.org/W3006227201"],"abstract_inverted_index":{"As":[0],"natural":[1],"language":[2],"understanding":[3],"research":[4],"advances":[5],"towards":[6],"deeper":[7,28],"knowledge":[8],"modeling,":[9],"the":[10,41,48,54,103,115],"tasks":[11],"become":[12],"more":[13,15,21,25],"and":[14,30,44,77,92,110],"complex:":[16],"we":[17,83],"are":[18],"interested":[19],"in":[20,37,47,106,114],"nuanced":[22],"word":[23],"characteristics,":[24],"linguistic":[26],"properties,":[27],"semantic":[29],"syntactic":[31],"features.":[32],"One":[33],"such":[34],"example,":[35],"explored":[36],"this":[38,81,107],"article,":[39,82],"is":[40],"mention":[42,78],"detection":[43],"recognition":[45],"task":[46],"Automatic":[49],"Content":[50],"Extraction":[51],"project,":[52],"with":[53,68],"goal":[55],"of":[56,71,87],"identifying":[57],"named,":[58],"nominal":[59],"or":[60],"pronominal":[61],"references":[62],"to":[63],"real-world":[64],"entities---mentions---and":[65],"labeling":[66],"them":[67,94],"three":[69,85],"types":[70],"information:":[72],"entity":[73,75],"type,":[74],"subtype":[76],"type.":[79],"In":[80],"investigate":[84],"methods":[86,104],"assigning":[88],"these":[89],"related":[90],"tags":[91],"compare":[93],"on":[95,102],"several":[96],"data":[97],"sets.":[98],"A":[99],"system":[100],"based":[101],"presented":[105],"article":[108],"participated":[109],"ranked":[111],"very":[112],"competitively":[113],"ACE'04":[116],"evaluation.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}