{"id":"https://openalex.org/W2953149585","doi":"https://doi.org/10.48550/arxiv.cmp-lg/9505043","title":"Using Decision Trees for Coreference Resolution","display_name":"Using Decision Trees for Coreference Resolution","publication_year":1995,"publication_date":"1995-05-24","ids":{"openalex":"https://openalex.org/W2953149585","doi":"https://doi.org/10.48550/arxiv.cmp-lg/9505043","mag":"2953149585"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:cmp-lg/9505043","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/cmp-lg/9505043","pdf_url":"https://arxiv.org/pdf/cmp-lg/9505043","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/cmp-lg/9505043","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041420260","display_name":"Joseph F. McCarthy","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"McCarthy, Joseph F.","raw_affiliation_strings":["University of Massachusetts"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108786119","display_name":"Wendy G. Lehnert","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lehnert, Wendy G.","raw_affiliation_strings":["University of Massachusetts"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":249,"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":0.9976000189781189,"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":0.9976000189781189,"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":0.000699999975040555,"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":0.0006000000284984708,"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/coreference-resolution","display_name":"coreference resolution","score":0.9990000128746033},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.9829999804496765},{"id":"https://openalex.org/keywords/resolve","display_name":"resolve","score":0.8180000185966492},{"id":"https://openalex.org/keywords/rule-based-systems","display_name":"rule-based systems","score":0.6159999966621399},{"id":"https://openalex.org/keywords/machine-learning-classification","display_name":"machine learning classification","score":0.43299999833106995},{"id":"https://openalex.org/keywords/knowledge-representation","display_name":"knowledge representation","score":0.36399999260902405},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"natural language processing","score":0.5329999923706055}],"concepts":[{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.9765729904174805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8222454190254211},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7535113096237183},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6253053545951843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6067410707473755},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.6012232303619385},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5496621131896973},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5384238958358765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5303189158439636},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42220425605773926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3211597204208374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07056978344917297},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06586331129074097},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.04742953181266785},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"pmh:oai:arXiv.org:cmp-lg/9505043","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/cmp-lg/9505043","pdf_url":"https://arxiv.org/pdf/cmp-lg/9505043","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2953149585","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/cmp-lg/9505043","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.104.5463","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.104.5463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dli.iiit.ac.in/ijcai/IJCAI-95-VOL2/PDF/005.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.269.3856","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.269.3856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/cmp-lg/9505043v1.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.35.572","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.35.572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ac.com/services/cstar/People/../Publications/Resolve-IJCAI95.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.51.1737","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.51.1737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ciir.cs.umass.edu/info/psfiles/tepubs/jmccarthy_ijcai95.ps","raw_type":"text"},{"id":"doi:10.48550/arxiv.cmp-lg/9505043","doi":"https://doi.org/10.48550/arxiv.cmp-lg/9505043","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.cmp-lg/9505043","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:cmp-lg/9505043","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/cmp-lg/9505043","pdf_url":"https://arxiv.org/pdf/cmp-lg/9505043","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2736821102","display_name":"State/University Cooperative Research Center for IntelligentInformation Retrieval","funder_award_id":"9209623","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/W2953149585.pdf","grobid_xml":"https://content.openalex.org/works/W2953149585.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1573330584","https://openalex.org/W1964772406","https://openalex.org/W1965693266","https://openalex.org/W1967080262","https://openalex.org/W1972780171","https://openalex.org/W1980885747","https://openalex.org/W1985736442","https://openalex.org/W2037699620","https://openalex.org/W2077929656","https://openalex.org/W2086613190","https://openalex.org/W2108420734","https://openalex.org/W2125055259","https://openalex.org/W2155524176","https://openalex.org/W2167342631","https://openalex.org/W2798425628","https://openalex.org/W2915323714","https://openalex.org/W2916326407"],"related_works":["https://openalex.org/W1576504150","https://openalex.org/W2188139293","https://openalex.org/W2600500667","https://openalex.org/W387342547","https://openalex.org/W2047885427","https://openalex.org/W75203162","https://openalex.org/W7096668150","https://openalex.org/W7098806441","https://openalex.org/W7098768695","https://openalex.org/W2104619957"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"RESOLVE,":[3],"a":[4,40,84],"system":[5],"that":[6,53,86,95],"uses":[7],"decision":[8,54],"trees":[9,55],"to":[10,13,36,75],"learn":[11],"how":[12],"classify":[14],"coreferent":[15],"phrases":[16],"in":[17,28,62],"the":[18,30,37,47,60,70,80,88,91,100],"domain":[19],"of":[20,32,39,44,64,90,93],"business":[21],"joint":[22],"ventures.":[23],"An":[24],"experiment":[25],"is":[26,34],"presented":[27],"which":[29],"performance":[31,38,58,78],"RESOLVE":[33,82],"compared":[35],"manually":[41],"engineered":[42],"set":[43],"rules":[45,61],"for":[46,69,98],"same":[48],"task.":[49,72],"The":[50],"results":[51],"show":[52],"achieve":[56],"higher":[57],"than":[59,79],"two":[63],"three":[65],"evaluation":[66],"metrics":[67],"developed":[68],"coreference":[71,101],"In":[73],"addition":[74],"achieving":[76],"better":[77],"rules,":[81],"provides":[83],"framework":[85],"facilitates":[87],"exploration":[89],"types":[92],"knowledge":[94],"are":[96],"useful":[97],"solving":[99],"problem.":[102]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":12}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2019-06-27T00:00:00"}