{"id":"https://openalex.org/W2740181799","doi":"https://doi.org/10.18653/v1/p17-1121","title":"A Neural Local Coherence Model","display_name":"A Neural Local Coherence Model","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2740181799","doi":"https://doi.org/10.18653/v1/p17-1121","mag":"2740181799"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p17-1121","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1121","pdf_url":"https://www.aclweb.org/anthology/P17-1121.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 55th Annual Meeting of the Association for\n          Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P17-1121.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023881129","display_name":"Dat Tien Nguyen","orcid":"https://orcid.org/0000-0002-6029-6849"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]},{"id":"https://openalex.org/I92528248","display_name":"Qatar Foundation","ror":"https://ror.org/01cawbq05","country_code":"QA","type":"funder","lineage":["https://openalex.org/I92528248"]}],"countries":["NL","QA"],"is_corresponding":false,"raw_author_name":"Dat Tien Nguyen","raw_affiliation_strings":["Informatics Institute University of Amsterdam","Qatar Computing Research Institute HBKU, Qatar Foundation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Informatics Institute University of Amsterdam","institution_ids":["https://openalex.org/I887064364"]},{"raw_affiliation_string":"Qatar Computing Research Institute HBKU, Qatar Foundation","institution_ids":["https://openalex.org/I92528248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005443526","display_name":"Shafiq Joty","orcid":"https://orcid.org/0000-0002-9222-2641"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]},{"id":"https://openalex.org/I92528248","display_name":"Qatar Foundation","ror":"https://ror.org/01cawbq05","country_code":"QA","type":"funder","lineage":["https://openalex.org/I92528248"]}],"countries":["NL","QA"],"is_corresponding":false,"raw_author_name":"Shafiq Joty","raw_affiliation_strings":["Qatar Computing Research Institute HBKU, Qatar Foundation","Informatics Institute University of Amsterdam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qatar Computing Research Institute HBKU, Qatar Foundation","institution_ids":["https://openalex.org/I92528248"]},{"raw_affiliation_string":"Informatics Institute University of Amsterdam","institution_ids":["https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.0549,"has_fulltext":true,"cited_by_count":74,"citation_normalized_percentile":{"value":0.97925165,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1320","last_page":"1330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing 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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.988099992275238,"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":0.8338149189949036},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.7462133765220642},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.7390252947807312},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6386149525642395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6228756308555603},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6112697720527649},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6007699370384216},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5842498540878296},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.558646559715271},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5133556723594666},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38741374015808105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35359472036361694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06898081302642822}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8338149189949036},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.7462133765220642},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7390252947807312},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6386149525642395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6228756308555603},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6112697720527649},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6007699370384216},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5842498540878296},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.558646559715271},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5133556723594666},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38741374015808105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35359472036361694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06898081302642822},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.18653/v1/p17-1121","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1121","pdf_url":"https://www.aclweb.org/anthology/P17-1121.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 55th Annual Meeting of the Association for\n          Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/e67535f4-a2d6-4f7e-87d8-7a45256a6af6","is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/a-neural-local-coherence-model(e67535f4-a2d6-4f7e-87d8-7a45256a6af6).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"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":"Nguyen, D T & Joty, S 2017, A Neural Local Coherence Model. in R Barzilay & M-Y Kan (eds), The 55th Annual Meeting of the Association for Computational Linguistics : proceedings of the Conference : July 30-August 4, 2017, Vancouver, Canada. vol. 1, Stroudsburg, PA, pp. 1320-1330, Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada, 30/07/17. https://doi.org/10.18653/v1/P17-1121","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:dare.uva.nl:publications/e67535f4-a2d6-4f7e-87d8-7a45256a6af6","is_oa":true,"landing_page_url":"http://hdl.handle.net/11245.1/e67535f4-a2d6-4f7e-87d8-7a45256a6af6","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"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":"Nguyen, D T & Joty, S 2017, A Neural Local Coherence Model. in R Barzilay & M-Y Kan (eds), The 55th Annual Meeting of the Association for Computational Linguistics : proceedings of the Conference : July 30-August 4, 2017, Vancouver, Canada. vol. 1, Stroudsburg, PA, pp. 1320-1330, Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada, 30/07/17. https://doi.org/10.18653/v1/P17-1121","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:figshare.com:article/27082693","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/A_Neural_Local_Coherence_Model/27082693","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"},{"id":"pmh:uvapub:oai:dare.uva.nl:publications/e67535f4-a2d6-4f7e-87d8-7a45256a6af6","is_oa":true,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/a-neural-local-coherence-model(e67535f4-a2d6-4f7e-87d8-7a45256a6af6).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"The 55th Annual Meeting of the Association for Computational Linguistics: proceedings of the Conference : July 30-August 4, 2017, Vancouver, Canada, 1, 1320 - 1330","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":{"id":"doi:10.18653/v1/p17-1121","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1121","pdf_url":"https://www.aclweb.org/anthology/P17-1121.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 55th Annual Meeting of the Association for\n          Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2740181799.pdf","grobid_xml":"https://content.openalex.org/works/W2740181799.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W41621595","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1665214252","https://openalex.org/W1728737950","https://openalex.org/W1832693441","https://openalex.org/W1871378960","https://openalex.org/W2011444449","https://openalex.org/W2045738181","https://openalex.org/W2047221353","https://openalex.org/W2095705004","https://openalex.org/W2099136972","https://openalex.org/W2115637926","https://openalex.org/W2120465901","https://openalex.org/W2120615054","https://openalex.org/W2123849094","https://openalex.org/W2124741472","https://openalex.org/W2133280805","https://openalex.org/W2133330855","https://openalex.org/W2140676672","https://openalex.org/W2152052831","https://openalex.org/W2158899491","https://openalex.org/W2159757335","https://openalex.org/W2250767751","https://openalex.org/W2251356693","https://openalex.org/W2251951653","https://openalex.org/W2384495648","https://openalex.org/W2577027179","https://openalex.org/W2952230511","https://openalex.org/W2998704965","https://openalex.org/W4241676240","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2942366970","https://openalex.org/W2807634898","https://openalex.org/W1692008701","https://openalex.org/W2597588799","https://openalex.org/W4360593462","https://openalex.org/W2562400057"],"abstract_inverted_index":{"We":[0,43],"propose":[1],"a":[2,8,20,45,58,88],"local":[3],"coherence":[4,71],"model":[5,23,52,77],"based":[6],"on":[7,57,68],"convolutional":[9],"neural":[10],"network":[11],"that":[12,75],"operates":[13],"over":[14],"the":[15,38,51,81],"entity":[16,27],"grid":[17],"representation":[18],"of":[19,40,80],"text.":[21],"The":[22],"captures":[24],"long":[25],"range":[26],"transitions":[28],"along":[29],"with":[30],"entity-specific":[31],"features":[32],"without":[33],"loosing":[34],"generalization,":[35],"thanks":[36],"to":[37,49],"power":[39],"distributed":[41],"representation.":[42],"present":[44],"pairwise":[46],"ranking":[47],"method":[48],"train":[50],"in":[53],"an":[54],"end-to-end":[55],"fashion":[56],"task":[59],"and":[60],"learn":[61],"task-specific":[62],"high":[63],"level":[64],"features.":[65],"Our":[66],"evaluation":[67],"three":[69],"different":[70],"assessment":[72],"tasks":[73],"demonstrates":[74],"our":[76],"achieves":[78],"state":[79],"art":[82],"results":[83],"outperforming":[84],"existing":[85],"models":[86],"by":[87],"good":[89],"margin.":[90]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}