{"id":"https://openalex.org/W2798393196","doi":"https://doi.org/10.18653/v1/p18-2014","title":"A Walk-based Model on Entity Graphs for Relation Extraction","display_name":"A Walk-based Model on Entity Graphs for Relation Extraction","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2798393196","doi":"https://doi.org/10.18653/v1/p18-2014","mag":"2798393196"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p18-2014","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-2014","pdf_url":"https://www.aclweb.org/anthology/P18-2014.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P18-2014.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"]},{"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":["GB","JP"],"is_corresponding":false,"raw_author_name":"Fenia Christopoulou","raw_affiliation_strings":["Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Japan","School of Computer Science, The University of Manchester, United Kingdom","National Centre for Text Mining"],"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":"School of Computer Science, The University of Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"National Centre for Text Mining","institution_ids":[]}]},{"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"]},{"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":["GB","JP"],"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","Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Japan"],"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"]},{"raw_affiliation_string":"Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Japan","institution_ids":["https://openalex.org/I73613424"]}]}],"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":106,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"88"},"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":0.9995999932289124,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9990000128746033,"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/computer-science","display_name":"Computer science","score":0.7014856338500977},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6159321665763855},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5752524733543396},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.570015549659729},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.5499380230903625},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5474486947059631},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5052476525306702},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4870200753211975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43045830726623535},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.41594359278678894},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3329908549785614},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3224217891693115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7014856338500977},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6159321665763855},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5752524733543396},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.570015549659729},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.5499380230903625},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5474486947059631},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5052476525306702},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4870200753211975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43045830726623535},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.41594359278678894},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3329908549785614},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3224217891693115},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/p18-2014","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-2014","pdf_url":"https://www.aclweb.org/anthology/P18-2014.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/4b9a387d-cabc-42ac-88a8-642c49848980","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/4b9a387d-cabc-42ac-88a8-642c49848980","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 2018, 'A Walk-based Model on Entity Graphs for Relation Extraction.', pp. 81-88. https://doi.org/10.18653/v1/P18-2014","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:pure.atira.dk:publications/4b9a387d-cabc-42ac-88a8-642c49848980","is_oa":true,"landing_page_url":"https://www.research.manchester.ac.uk/portal/en/publications/a-walkbased-model-on-entity-graphs-for-relation-extraction(4b9a387d-cabc-42ac-88a8-642c49848980).html","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Christopoulou, E, Miwa, M & Ananiadou, S 2018, 'A Walk-based Model on Entity Graphs for Relation Extraction.', pp. 81-88. https://doi.org/10.18653/v1/P18-2014","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.18653/v1/p18-2014","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-2014","pdf_url":"https://www.aclweb.org/anthology/P18-2014.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4365314885","display_name":null,"funder_award_id":"MR/N00583X/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G473771980","display_name":null,"funder_award_id":"BB/M006891/1","funder_id":"https://openalex.org/F4320334629","funder_display_name":"Biotechnology and Biological Sciences Research Council"},{"id":"https://openalex.org/G5439955743","display_name":"Manchester Molecular Pathology Innovation Centre (MMPathIC): bridging the gap between biomarker discovery and health and wealth","funder_award_id":"MR/N00583X/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"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/F4320323054","display_name":"Associazione Italiana per la Ricerca sul Cancro","ror":"https://ror.org/02g2x7380"},{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"},{"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/W2798393196.pdf","grobid_xml":"https://content.openalex.org/works/W2798393196.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W581956982","https://openalex.org/W1551842868","https://openalex.org/W2016522586","https://openalex.org/W2064675550","https://openalex.org/W2125573226","https://openalex.org/W2130942839","https://openalex.org/W2134033474","https://openalex.org/W2136502946","https://openalex.org/W2155454737","https://openalex.org/W2236688737","https://openalex.org/W2251091211","https://openalex.org/W2251622960","https://openalex.org/W2407338347","https://openalex.org/W2511964075","https://openalex.org/W2517194566","https://openalex.org/W2556343638","https://openalex.org/W2578454709","https://openalex.org/W2578514770","https://openalex.org/W2759136286","https://openalex.org/W2773398617","https://openalex.org/W2796084947","https://openalex.org/W2963171262","https://openalex.org/W2963454301","https://openalex.org/W2963503534","https://openalex.org/W2964087600","https://openalex.org/W2964121744","https://openalex.org/W2964167098","https://openalex.org/W2964349647"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W1976205134","https://openalex.org/W2381570729","https://openalex.org/W4248336175","https://openalex.org/W3009369890","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W2805262146","https://openalex.org/W4379517534"],"abstract_inverted_index":{"We":[0,87],"present":[1],"a":[2,17,29,36],"novel":[3],"graph-based":[4],"neural":[5],"network":[6],"model":[7,12,91],"for":[8],"relation":[9,56],"extraction.":[10],"Our":[11],"treats":[13],"multiple":[14],"pairs":[15],"in":[16,28,35],"sentence":[18,30],"simultaneously":[19],"and":[20,75],"considers":[21],"interactions":[22],"among":[23],"them.":[24],"All":[25],"the":[26,48,80,90,96,100],"entities":[27],"are":[31,42,73],"placed":[32],"as":[33],"nodes":[34],"fully-connected":[37],"graph":[38],"structure.":[39],"The":[40,70],"edges":[41],"represented":[43],"with":[44],"position-aware":[45],"contexts":[46],"around":[47],"entity":[49],"pairs.":[50],"In":[51],"order":[52],"to":[53,64,78,95],"consider":[54],"different":[55],"paths":[57],"between":[58,67],"two":[59],"entities,":[60],"we":[61],"construct":[62],"up":[63],"l-length":[65],"walks":[66,72,85],"each":[68],"pair.":[69],"resulting":[71],"merged":[74],"iteratively":[76],"used":[77],"update":[79],"edge":[81],"representations":[82],"into":[83],"longer":[84],"representations.":[86],"show":[88],"that":[89],"achieves":[92],"performance":[93],"comparable":[94],"state-ofthe-art":[97],"systems":[98],"on":[99],"ACE":[101],"2005":[102],"dataset":[103],"without":[104],"using":[105],"any":[106],"external":[107],"tools.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":27},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2018-05-07T00:00:00"}