{"id":"https://openalex.org/W2140781204","doi":"https://doi.org/10.3115/1225403.1225415","title":"LexNet","display_name":"LexNet","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2140781204","doi":"https://doi.org/10.3115/1225403.1225415","mag":"2140781204"},"language":"en","primary_location":{"id":"doi:10.3115/1225403.1225415","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1225403.1225415","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1225403.1225415","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the COLING/ACL on Interactive presentation sessions  -","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/10.3115/1225403.1225415","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081787254","display_name":"Dragomir Radev","orcid":"https://orcid.org/0000-0001-7830-6489"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dragomir R. Radev","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI","University of Michigan,Ann Arbor,MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan,Ann Arbor,MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030796190","display_name":"G\u00fcne\u015f Erkan","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G\u00fcne\u015f Erkan","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI","University of Michigan,Ann Arbor,MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan,Ann Arbor,MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036204095","display_name":"Anthony Fader","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony Fader","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI","University of Michigan,Ann Arbor,MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan,Ann Arbor,MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067908256","display_name":"Patrick R. Jordan","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick Jordan","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI","University of Michigan,Ann Arbor,MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan,Ann Arbor,MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017773457","display_name":"Siwei Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siwei Shen","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI","University of Michigan,Ann Arbor,MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan,Ann Arbor,MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113477463","display_name":"James P. Sweeney","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James P. Sweeney","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI","University of Michigan,Ann Arbor,MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan,Ann Arbor,MI","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5081787254"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.13571074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"45","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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":0.9993000030517578,"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/automatic-summarization","display_name":"Automatic summarization","score":0.8616039752960205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8226052522659302},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.684599757194519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6539077758789062},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.5769221186637878},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4772598445415497},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4663001596927643},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45488739013671875},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.41724273562431335},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10399752855300903}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8616039752960205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8226052522659302},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.684599757194519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6539077758789062},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.5769221186637878},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4772598445415497},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4663001596927643},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45488739013671875},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.41724273562431335},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10399752855300903}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/1225403.1225415","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1225403.1225415","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1225403.1225415","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the COLING/ACL on Interactive presentation sessions  -","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/1225403.1225415","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1225403.1225415","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1225403.1225415","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the COLING/ACL on Interactive presentation sessions  -","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.800000011920929}],"awards":[{"id":"https://openalex.org/G3441407836","display_name":"Probabilistic and link-based Methods for Exploiting Very Large Textual Repositories","funder_award_id":"0329043","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4568853728","display_name":"Collaborative Research:    Semantic Entity and Relation Extraction from Web-Scale Text Document Collections","funder_award_id":"0308024","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2140781204.pdf","grobid_xml":"https://content.openalex.org/works/W2140781204.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W23846527","https://openalex.org/W65061024","https://openalex.org/W1630959083","https://openalex.org/W2107008379","https://openalex.org/W2122837498","https://openalex.org/W2144941913","https://openalex.org/W2146442558","https://openalex.org/W2148603752","https://openalex.org/W3101913037"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4214678372","https://openalex.org/W1605559518","https://openalex.org/W4214601164"],"abstract_inverted_index":{"This":[0],"interactive":[1],"presentation":[2],"describes":[3],"LexNet,":[4],"a":[5,79],"graphical":[6],"environment":[7],"for":[8],"graph-based":[9],"NLP":[10,51,82],"developed":[11],"at":[12],"the":[13,36,66,70],"University":[14],"of":[15,81],"Michigan.":[16],"LexNet":[17],"includes":[18],"LexRank":[19,24],"(for":[20,25,30],"text":[21],"summarization),":[22],"biased":[23],"passage":[26],"retrieval),":[27],"and":[28,88],"TUMBL":[29],"binary":[31],"classification).":[32],"All":[33],"tools":[34,77],"in":[35],"collection":[37],"are":[38,57],"based":[39],"on":[40,43,78],"random":[41],"walks":[42],"lexical":[44,67],"graphs,":[45],"that":[46],"is":[47],"graphs":[48],"where":[49],"different":[50],"objects":[52],"(e.g.,":[53],"sentences":[54],"or":[55],"phrases)":[56],"represented":[58],"as":[59],"nodes":[60],"linked":[61],"by":[62],"edges":[63],"proportional":[64],"to":[65],"similarity":[68],"between":[69],"two":[71],"nodes.":[72],"We":[73],"will":[74],"demonstrate":[75],"these":[76],"variety":[80],"tasks":[83],"including":[84],"summarization,":[85],"question":[86],"answering,":[87],"prepositional":[89],"phrase":[90],"attachment.":[91]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2016-06-24T00:00:00"}