{"id":"https://openalex.org/W2586597293","doi":"https://doi.org/10.18653/v1/p17-1092","title":"Neural Discourse Structure for Text Categorization","display_name":"Neural Discourse Structure for Text Categorization","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2586597293","doi":"https://doi.org/10.18653/v1/p17-1092","mag":"2586597293"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p17-1092","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1092","pdf_url":"https://www.aclweb.org/anthology/P17-1092.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 Computational Linguistics (Volume 1: Long 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/P17-1092.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085302513","display_name":"Yangfeng Ji","orcid":"https://orcid.org/0000-0002-7793-486X"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yangfeng Ji","raw_affiliation_strings":["School of Computer Science & Engineering University of Washington Seattle, WA 98195, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering University of Washington Seattle, WA 98195, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088517824","display_name":"Noah A. Smith","orcid":"https://orcid.org/0000-0002-2310-6380"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noah A. Smith","raw_affiliation_strings":["School of Computer Science & Engineering University of Washington Seattle, WA 98195, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering University of Washington Seattle, WA 98195, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":116,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"996","last_page":"1005"},"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":0.9998999834060669,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9994000196456909,"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":0.7836400270462036},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.7783360481262207},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.709426999092102},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6894485950469971},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6540627479553223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6501501798629761},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6352576017379761},{"id":"https://openalex.org/keywords/rhetorical-question","display_name":"Rhetorical question","score":0.625190258026123},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.6125810742378235},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5662139058113098},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.528460681438446},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48721855878829956},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4734644293785095},{"id":"https://openalex.org/keywords/text-categorization","display_name":"Text categorization","score":0.42218542098999023},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.30655258893966675},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1367397904396057}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836400270462036},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7783360481262207},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.709426999092102},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6894485950469971},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6540627479553223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6501501798629761},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6352576017379761},{"id":"https://openalex.org/C192562157","wikidata":"https://www.wikidata.org/wiki/Q316694","display_name":"Rhetorical question","level":2,"score":0.625190258026123},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.6125810742378235},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5662139058113098},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.528460681438446},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48721855878829956},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4734644293785095},{"id":"https://openalex.org/C2986744138","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Text categorization","level":3,"score":0.42218542098999023},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.30655258893966675},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1367397904396057},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p17-1092","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1092","pdf_url":"https://www.aclweb.org/anthology/P17-1092.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 Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p17-1092","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1092","pdf_url":"https://www.aclweb.org/anthology/P17-1092.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 Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310094","display_name":"University of Washington","ror":"https://ror.org/00cvxb145"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2586597293.pdf","grobid_xml":"https://content.openalex.org/works/W2586597293.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W19426809","https://openalex.org/W52201544","https://openalex.org/W179875071","https://openalex.org/W181643614","https://openalex.org/W1437335841","https://openalex.org/W1522301498","https://openalex.org/W1632114991","https://openalex.org/W1842565584","https://openalex.org/W1855867616","https://openalex.org/W1967807490","https://openalex.org/W1969486090","https://openalex.org/W2044599851","https://openalex.org/W2045738181","https://openalex.org/W2082171025","https://openalex.org/W2103385190","https://openalex.org/W2112628236","https://openalex.org/W2114524997","https://openalex.org/W2115242108","https://openalex.org/W2120615054","https://openalex.org/W2133564696","https://openalex.org/W2147152072","https://openalex.org/W2149557440","https://openalex.org/W2149684865","https://openalex.org/W2160467647","https://openalex.org/W2166957049","https://openalex.org/W2170240176","https://openalex.org/W2250539671","https://openalex.org/W2251454145","https://openalex.org/W2251617662","https://openalex.org/W2252335727","https://openalex.org/W2435251607","https://openalex.org/W2470673105","https://openalex.org/W2554915555","https://openalex.org/W2567467453","https://openalex.org/W2577255746","https://openalex.org/W2949380545","https://openalex.org/W2950879740","https://openalex.org/W2963012544","https://openalex.org/W2964121744","https://openalex.org/W2964308564","https://openalex.org/W4250641076"],"related_works":["https://openalex.org/W2594084610","https://openalex.org/W2779608055","https://openalex.org/W1975975036","https://openalex.org/W600290691","https://openalex.org/W4295769391","https://openalex.org/W1990962480","https://openalex.org/W4386073139","https://openalex.org/W123503334","https://openalex.org/W4400470172","https://openalex.org/W2972220648"],"abstract_inverted_index":{"We":[0],"show":[1],"that":[2,41],"discourse":[3,16],"structure,":[4],"as":[5],"defined":[6],"by":[7,13],"Rhetorical":[8],"Structure":[9],"Theory":[10],"and":[11,28,52,61,65],"provided":[12],"an":[14],"existing":[15],"parser,":[17],"benefits":[18],"text":[19,40],"categorization.":[20],"Our":[21],"approach":[22,60],"uses":[23],"a":[24,29,36],"recursive":[25],"neural":[26],"network":[27],"newly":[30],"proposed":[31],"attention":[32],"mechanism":[33],"to":[34],"compute":[35],"representation":[37],"of":[38,49,58],"the":[39,47,53,59],"focuses":[42],"on":[43],"salient":[44],"content,":[45],"from":[46],"perspective":[48],"both":[50],"RST":[51],"task.":[54],"Experiments":[55],"consider":[56],"variants":[57],"illustrate":[62],"its":[63],"strengths":[64],"weaknesses.":[66]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":26},{"year":2019,"cited_by_count":26},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":4}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}