{"id":"https://openalex.org/W2971221499","doi":"https://doi.org/10.18653/v1/d19-1498","title":"Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs","display_name":"Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2971221499","doi":"https://doi.org/10.18653/v1/d19-1498","mag":"2971221499"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1498","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1498","pdf_url":"https://www.aclweb.org/anthology/D19-1498.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1498.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002307731","display_name":"Fenia Christopoulou","orcid":"https://orcid.org/0000-0001-5217-9848"},"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":"Fenia Christopoulou","raw_affiliation_strings":["National Centre for Text Mining,","School of Computer Science, The University of Manchester, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Centre for Text Mining,","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science, The University of Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101412540","display_name":"Makoto Miwa","orcid":"https://orcid.org/0000-0002-2330-6972"},"institutions":[{"id":"https://openalex.org/I4840577","display_name":"Toyota Technological Institute","ror":"https://ror.org/001hv0k59","country_code":"JP","type":"education","lineage":["https://openalex.org/I4840577"]},{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Makoto Miwa","raw_affiliation_strings":["Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Japan","Toyota Technological Institute, Nagoya, 468-8511, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Japan","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"Toyota Technological Institute, Nagoya, 468-8511, Japan","institution_ids":["https://openalex.org/I4840577"]}]},{"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/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":"Sophia Ananiadou","raw_affiliation_strings":["National Centre for Text Mining,","School of Computer Science, The University of Manchester, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Centre for Text Mining,","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science, The University of Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":245,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4924","last_page":"4935"},"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":0.9998999834060669,"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":0.7204208970069885},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.583034098148346},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5749222636222839},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4867422580718994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4787384867668152},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.472332626581192},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.4472424387931824},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4176550805568695},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.410777747631073},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32657337188720703},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.3194839358329773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17173296213150024},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12077420949935913},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.09907788038253784},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.06147712469100952}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7204208970069885},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.583034098148346},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5749222636222839},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4867422580718994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4787384867668152},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.472332626581192},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4472424387931824},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4176550805568695},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.410777747631073},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32657337188720703},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.3194839358329773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17173296213150024},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12077420949935913},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.09907788038253784},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.06147712469100952},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/d19-1498","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1498","pdf_url":"https://www.aclweb.org/anthology/D19-1498.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/a3b65467-3272-4070-b65f-bd21b2ffb7da","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/a3b65467-3272-4070-b65f-bd21b2ffb7da","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Christopoulou, E, Miwa, M & Ananiadou, S 2019, 'Connecting the Dots : Document-level Neural Relation Extraction with Edge-oriented Graphs', Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), vol. 0, pp. 4925\u20134936. https://doi.org/10.18653/v1/D19-1498","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:arXiv.org:1909.00228","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.00228","pdf_url":"https://arxiv.org/pdf/1909.00228","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"","raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:publications/a3b65467-3272-4070-b65f-bd21b2ffb7da","is_oa":false,"landing_page_url":"https://arxiv.org/abs/1909.00228","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1498","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1498","pdf_url":"https://www.aclweb.org/anthology/D19-1498.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.75,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G6457786194","display_name":null,"funder_award_id":"BB/P025684/1","funder_id":"https://openalex.org/F4320334629","funder_display_name":"Biotechnology and Biological Sciences Research Council"},{"id":"https://openalex.org/G7679475066","display_name":"Japan Partnering Award. Text mining and bioinformatics platforms for metabolic pathway modelling.","funder_award_id":"BB/P025684/1","funder_id":"https://openalex.org/F4320334629","funder_display_name":"Biotechnology and Biological Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320311508","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54"},{"id":"https://openalex.org/F4320320291","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27"},{"id":"https://openalex.org/F4320323054","display_name":"Associazione Italiana per la Ricerca sul Cancro","ror":"https://ror.org/02g2x7380"},{"id":"https://openalex.org/F4320334629","display_name":"Biotechnology and Biological Sciences Research Council","ror":"https://ror.org/00cwqg982"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2971221499.pdf","grobid_xml":"https://content.openalex.org/works/W2971221499.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1493490255","https://openalex.org/W1522301498","https://openalex.org/W1604644367","https://openalex.org/W1964189668","https://openalex.org/W2064675550","https://openalex.org/W2107598941","https://openalex.org/W2127978399","https://openalex.org/W2131774270","https://openalex.org/W2147286743","https://openalex.org/W2250521169","https://openalex.org/W2250539671","https://openalex.org/W2251135946","https://openalex.org/W2251622960","https://openalex.org/W2334487059","https://openalex.org/W2341742436","https://openalex.org/W2346452181","https://openalex.org/W2513378248","https://openalex.org/W2515248967","https://openalex.org/W2515462165","https://openalex.org/W2527712604","https://openalex.org/W2537679995","https://openalex.org/W2574454672","https://openalex.org/W2577666659","https://openalex.org/W2604372572","https://openalex.org/W2612364175","https://openalex.org/W2794309877","https://openalex.org/W2798393196","https://openalex.org/W2801290881","https://openalex.org/W2883362973","https://openalex.org/W2889029893","https://openalex.org/W2889224519","https://openalex.org/W2891417293","https://openalex.org/W2892094955","https://openalex.org/W2899771611","https://openalex.org/W2917713791","https://openalex.org/W2920198243","https://openalex.org/W2935052563","https://openalex.org/W2952677853","https://openalex.org/W2962859618","https://openalex.org/W2963020213","https://openalex.org/W2963021258","https://openalex.org/W2963400328","https://openalex.org/W2963454301","https://openalex.org/W2963862093","https://openalex.org/W2964121744","https://openalex.org/W2964167098","https://openalex.org/W2964193968","https://openalex.org/W2964217331"],"related_works":["https://openalex.org/W2352298027","https://openalex.org/W4319940250","https://openalex.org/W842810586","https://openalex.org/W2092919065","https://openalex.org/W4236762297","https://openalex.org/W3138801416","https://openalex.org/W2369351710","https://openalex.org/W2594363579","https://openalex.org/W2169232658","https://openalex.org/W2444550338"],"abstract_inverted_index":{"Fenia":[0],"Christopoulou,":[1],"Makoto":[2],"Miwa,":[3],"Sophia":[4],"Ananiadou.":[5],"Proceedings":[6],"of":[7],"the":[8,19],"2019":[9],"Conference":[10,23],"on":[11,24],"Empirical":[12],"Methods":[13],"in":[14],"Natural":[15,25],"Language":[16,26],"Processing":[17,27],"and":[18],"9th":[20],"International":[21],"Joint":[22],"(EMNLP-IJCNLP).":[28],"2019.":[29]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":41},{"year":2023,"cited_by_count":57},{"year":2022,"cited_by_count":42},{"year":2021,"cited_by_count":54},{"year":2020,"cited_by_count":18}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2019-09-05T00:00:00"}