{"id":"https://openalex.org/W2970583420","doi":"https://doi.org/10.18653/v1/d19-1549","title":"Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks","display_name":"Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970583420","doi":"https://doi.org/10.18653/v1/d19-1549","mag":"2970583420"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1549","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1549","pdf_url":"https://www.aclweb.org/anthology/D19-1549.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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1549.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108063115","display_name":"Binxuan Huang","orcid":"https://orcid.org/0000-0003-3571-5738"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Binxuan Huang","raw_affiliation_strings":["School of Computer Science Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science Carnegie Mellon University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085927300","display_name":"Kathleen M. Carley","orcid":"https://orcid.org/0000-0002-6356-0238"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kathleen Carley","raw_affiliation_strings":["School of Computer Science Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science Carnegie Mellon University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108063115"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":21.0993,"has_fulltext":true,"cited_by_count":297,"citation_normalized_percentile":{"value":0.99501165,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5468","last_page":"5476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994999766349792,"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":0.996999979019165,"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":0.8210415840148926},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.6606321930885315},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5305390954017639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4858105182647705},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4817883372306824},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24600866436958313}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8210415840148926},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.6606321930885315},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5305390954017639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4858105182647705},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4817883372306824},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24600866436958313}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1549","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1549","pdf_url":"https://www.aclweb.org/anthology/D19-1549.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"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1549","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1549","pdf_url":"https://www.aclweb.org/anthology/D19-1549.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":0.8299999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1602731932","display_name":null,"funder_award_id":"N000141812108","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G2938244557","display_name":null,"funder_award_id":"N000141712675","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G5643251411","display_name":null,"funder_award_id":"and N00","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970583420.pdf","grobid_xml":"https://content.openalex.org/works/W2970583420.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2095705004","https://openalex.org/W2097726431","https://openalex.org/W2113125055","https://openalex.org/W2116341502","https://openalex.org/W2133564696","https://openalex.org/W2165855670","https://openalex.org/W2250539671","https://openalex.org/W2250861254","https://openalex.org/W2251124635","https://openalex.org/W2251648804","https://openalex.org/W2251792193","https://openalex.org/W2252057809","https://openalex.org/W2529550020","https://openalex.org/W2562607067","https://openalex.org/W2891300059","https://openalex.org/W2896457183","https://openalex.org/W2898812668","https://openalex.org/W2918342466","https://openalex.org/W2923978210","https://openalex.org/W2925618549","https://openalex.org/W2952357537","https://openalex.org/W2954278700","https://openalex.org/W2962808042","https://openalex.org/W2963168371","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963428430","https://openalex.org/W2963494756","https://openalex.org/W2963858333","https://openalex.org/W2963909901","https://openalex.org/W2964121744","https://openalex.org/W2964164368","https://openalex.org/W2964308564","https://openalex.org/W2969967008","https://openalex.org/W4288419263","https://openalex.org/W4297733535","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655","https://openalex.org/W2359140296"],"abstract_inverted_index":{"Binxuan":[0],"Huang,":[1],"Kathleen":[2],"Carley.":[3],"Proceedings":[4],"of":[5],"the":[6,17],"2019":[7],"Conference":[8,21],"on":[9,22],"Empirical":[10],"Methods":[11],"in":[12],"Natural":[13,23],"Language":[14,24],"Processing":[15,25],"and":[16],"9th":[18],"International":[19],"Joint":[20],"(EMNLP-IJCNLP).":[26],"2019.":[27]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":44},{"year":2023,"cited_by_count":68},{"year":2022,"cited_by_count":52},{"year":2021,"cited_by_count":61},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}