{"id":"https://openalex.org/W2041741897","doi":"https://doi.org/10.3115/1118958.1118961","title":"Using domain-specific verbs for term classification","display_name":"Using domain-specific verbs for term classification","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2041741897","doi":"https://doi.org/10.3115/1118958.1118961","mag":"2041741897"},"language":"en","primary_location":{"id":"doi:10.3115/1118958.1118961","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118958.1118961","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1118958.1118961","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine  -","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/10.3115/1118958.1118961","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016345745","display_name":"\u202aIrena Spasi\u0107","orcid":"https://orcid.org/0000-0002-8132-3885"},"institutions":[{"id":"https://openalex.org/I54459138","display_name":"University of Salford","ror":"https://ror.org/01tmqtf75","country_code":"GB","type":"education","lineage":["https://openalex.org/I54459138"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Irena Spasi\u0107","raw_affiliation_strings":["University of Salford, UK","University of Salford, , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salford, UK","institution_ids":["https://openalex.org/I54459138"]},{"raw_affiliation_string":"University of Salford, , UK","institution_ids":["https://openalex.org/I54459138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005912060","display_name":"Goran Nenadi\u0107","orcid":"https://orcid.org/0000-0003-0795-5363"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Goran Nenadi\u0107","raw_affiliation_strings":["UMIST, UK","UMIST, UK#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMIST, UK","institution_ids":[]},{"raw_affiliation_string":"UMIST, UK#TAB#","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077976343","display_name":"Sophia Ananiadou","orcid":"https://orcid.org/0000-0002-4097-9191"},"institutions":[{"id":"https://openalex.org/I54459138","display_name":"University of Salford","ror":"https://ror.org/01tmqtf75","country_code":"GB","type":"education","lineage":["https://openalex.org/I54459138"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sophia Ananiadou","raw_affiliation_strings":["University of Salford, UK","University of Salford, , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salford, UK","institution_ids":["https://openalex.org/I54459138"]},{"raw_affiliation_string":"University of Salford, , UK","institution_ids":["https://openalex.org/I54459138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0311,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.74157903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"13","issue":null,"first_page":"17","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.998199999332428,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9975000023841858,"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/ontology","display_name":"Ontology","score":0.8022122979164124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7621625661849976},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7365620136260986},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6900226473808289},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6498954892158508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6486391425132751},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5320072770118713},{"id":"https://openalex.org/keywords/verb","display_name":"Verb","score":0.4581510126590729},{"id":"https://openalex.org/keywords/ontology-learning","display_name":"Ontology learning","score":0.4560643434524536},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43793830275535583},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3973865211009979},{"id":"https://openalex.org/keywords/suggested-upper-merged-ontology","display_name":"Suggested Upper Merged Ontology","score":0.23931008577346802},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.22564899921417236},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.21851205825805664},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18883386254310608},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11914435029029846}],"concepts":[{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.8022122979164124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7621625661849976},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7365620136260986},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6900226473808289},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6498954892158508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6486391425132751},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5320072770118713},{"id":"https://openalex.org/C2776397901","wikidata":"https://www.wikidata.org/wiki/Q24905","display_name":"Verb","level":2,"score":0.4581510126590729},{"id":"https://openalex.org/C2777002027","wikidata":"https://www.wikidata.org/wiki/Q3620938","display_name":"Ontology learning","level":5,"score":0.4560643434524536},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43793830275535583},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3973865211009979},{"id":"https://openalex.org/C50971890","wikidata":"https://www.wikidata.org/wiki/Q7635093","display_name":"Suggested Upper Merged Ontology","level":4,"score":0.23931008577346802},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.22564899921417236},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.21851205825805664},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18883386254310608},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11914435029029846},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3115/1118958.1118961","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118958.1118961","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1118958.1118961","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine  -","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/64df2c8b-a47f-4e2e-802c-18f931e82da2","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/64df2c8b-a47f-4e2e-802c-18f931e82da2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Spasic, I, Nenadic, G & Ananiadou, S 2003, Using Domain-Specific Verbs for Term Classification. in Proc. ACL Workshop on NLP in Biomedicine. pp. 17-24.","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.63.711","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.63.711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://acl.ldc.upenn.edu/W/W03/W03-1303.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.79.6262","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.6262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://acl.ldc.upenn.edu/acl2003/nlbio/ps/Spasic.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.80.4822","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.80.4822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://acl.ldc.upenn.edu/acl2003/nlbio/pdfs/Spasic.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/1118958.1118961","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118958.1118961","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1118958.1118961","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine  -","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7099999785423279,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2041741897.pdf"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W188724257","https://openalex.org/W1967488025","https://openalex.org/W1970351430","https://openalex.org/W1987213598","https://openalex.org/W1999208044","https://openalex.org/W2049107599","https://openalex.org/W2096146054","https://openalex.org/W2124861498","https://openalex.org/W2134769633","https://openalex.org/W2409586619"],"related_works":["https://openalex.org/W2024342824","https://openalex.org/W1771592750","https://openalex.org/W2759030965","https://openalex.org/W4255991504","https://openalex.org/W169590660","https://openalex.org/W111088122","https://openalex.org/W1576659514","https://openalex.org/W2138657316","https://openalex.org/W2502600090","https://openalex.org/W2227378261"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4],"an":[5,30,48],"approach":[6],"to":[7,34,119],"term":[8,64],"classification":[9,128],"based":[10,52],"on":[11,53],"verb":[12],"complementation":[13,16],"patterns.":[14],"The":[15,38,124],"patterns":[17],"have":[18],"been":[19,45],"automatically":[20,89],"learnt":[21],"by":[22,59,68],"combining":[23],"information":[24,116],"found":[25],"in":[26,77,91],"a":[27,54],"corpus":[28,111],"and":[29,43,80,112],"ontology,":[31],"both":[32,69],"belonging":[33],"the":[35,60,72,78,82,92,95,104,110,113,127],"biomedical":[36],"domain.":[37],"learning":[39],"process":[40],"is":[41],"unsupervised":[42],"has":[44],"implemented":[46],"as":[47,101],"iterative":[49],"reasoning":[50],"procedure":[51],"partial":[55],"order":[56],"relation":[57],"induced":[58,108],"domain-specific":[61,86],"ontology.":[62,114],"First,":[63],"recognition":[65],"was":[66,117],"performed":[67],"looking":[70],"up":[71],"dictionary":[73],"of":[74,97,126],"terms":[75,98],"listed":[76],"ontology":[79],"applying":[81],"C/NC-value":[83],"method.":[84],"Subsequently,":[85],"verbs":[87,106],"were":[88,107],"identified":[90],"corpus.":[93],"Finally,":[94],"classes":[96],"typically":[99],"selected":[100],"arguments":[102],"for":[103],"considered":[105],"from":[109],"This":[115],"used":[118],"classify":[120],"newly":[121],"recognised":[122],"terms.":[123],"precision":[125],"method":[129],"reached":[130],"64%.":[131]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
