{"id":"https://openalex.org/W2964253663","doi":"https://doi.org/10.18653/v1/e17-1035","title":"Addressing the Data Sparsity Issue in Neural AMR Parsing","display_name":"Addressing the Data Sparsity Issue in Neural AMR Parsing","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2964253663","doi":"https://doi.org/10.18653/v1/e17-1035","mag":"2964253663"},"language":"en","primary_location":{"id":"doi:10.18653/v1/e17-1035","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/e17-1035","pdf_url":"https://www.aclweb.org/anthology/E17-1035.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 15th Conference of the European Chapter of the\n          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/E17-1035.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100908682","display_name":"Xiaochang Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaochang Peng","raw_affiliation_strings":["University of Rochester"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443590","display_name":"Chuan Wang","orcid":"https://orcid.org/0000-0002-0466-3165"},"institutions":[{"id":"https://openalex.org/I6902469","display_name":"Brandeis University","ror":"https://ror.org/05abbep66","country_code":"US","type":"education","lineage":["https://openalex.org/I6902469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuan Wang","raw_affiliation_strings":["Brandeis University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brandeis University","institution_ids":["https://openalex.org/I6902469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020945377","display_name":"Daniel Gildea","orcid":"https://orcid.org/0000-0002-7858-2624"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Gildea","raw_affiliation_strings":["University of Rochester"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036715761","display_name":"Nianwen Xue","orcid":"https://orcid.org/0000-0002-4364-3618"},"institutions":[{"id":"https://openalex.org/I6902469","display_name":"Brandeis University","ror":"https://ror.org/05abbep66","country_code":"US","type":"education","lineage":["https://openalex.org/I6902469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nianwen Xue","raw_affiliation_strings":["Brandeis University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brandeis University","institution_ids":["https://openalex.org/I6902469"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":72,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"366","last_page":"375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/parsing","display_name":"Parsing","score":0.8524925708770752},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8346924781799316},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7095557451248169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6496361494064331},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5750716924667358},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5148624181747437},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48125144839286804},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.4746718406677246},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.4586484730243683},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39883512258529663}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.8524925708770752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8346924781799316},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7095557451248169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6496361494064331},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5750716924667358},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5148624181747437},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48125144839286804},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.4746718406677246},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.4586484730243683},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39883512258529663},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/e17-1035","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/e17-1035","pdf_url":"https://www.aclweb.org/anthology/E17-1035.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 15th Conference of the European Chapter of the\n          Association for Computational Linguistics: Volume 1, Long Papers","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/e17-1035","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/e17-1035","pdf_url":"https://www.aclweb.org/anthology/E17-1035.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 15th Conference of the European Chapter of the\n          Association for Computational Linguistics: Volume 1, Long Papers","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964253663.pdf","grobid_xml":"https://content.openalex.org/works/W2964253663.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1869752048","https://openalex.org/W2004763266","https://openalex.org/W2064675550","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2139621418","https://openalex.org/W2149837184","https://openalex.org/W2158847908","https://openalex.org/W2250375035","https://openalex.org/W2250623140","https://openalex.org/W2250808720","https://openalex.org/W2251071803","https://openalex.org/W2251171690","https://openalex.org/W2251823395","https://openalex.org/W2252123671","https://openalex.org/W2296308987","https://openalex.org/W2460641690","https://openalex.org/W2471321543","https://openalex.org/W2475275044","https://openalex.org/W2525778437","https://openalex.org/W2962834107","https://openalex.org/W2962906084","https://openalex.org/W2963069010","https://openalex.org/W2963088995","https://openalex.org/W2963247703","https://openalex.org/W2964308564"],"related_works":["https://openalex.org/W2251084681","https://openalex.org/W3115565094","https://openalex.org/W287510790","https://openalex.org/W2098784136","https://openalex.org/W3097570857","https://openalex.org/W2130795788","https://openalex.org/W2968543375","https://openalex.org/W2953770453","https://openalex.org/W4288558800","https://openalex.org/W2179743027"],"abstract_inverted_index":{"Neural":[0],"attention":[1,62],"models":[2],"have":[3,13],"achieved":[4],"great":[5],"success":[6],"in":[7],"different":[8,42],"NLP":[9],"tasks.":[10],"However,":[11],"they":[12],"not":[14,75],"fulfilled":[15],"their":[16],"promise":[17],"on":[18],"the":[19,25,46],"AMR":[20,38],"parsing":[21,39],"task":[22],"due":[23],"to":[24,44],"data":[26,47],"sparsity":[27,48],"issue.":[28],"In":[29],"this":[30],"paper,":[31],"we":[32],"describe":[33],"a":[34,59],"sequence-to-sequence":[35],"model":[36,63],"for":[37],"and":[40,64],"present":[41],"ways":[43],"tackle":[45],"problem.":[49],"We":[50],"show":[51],"that":[52,73],"our":[53,65],"methods":[54],"achieve":[55],"significant":[56],"improvement":[57],"over":[58],"baseline":[60],"neural":[61],"results":[66],"are":[67],"also":[68],"competitive":[69],"against":[70],"state-of-the-art":[71],"systems":[72],"do":[74],"use":[76],"extra":[77],"linguistic":[78],"resources.":[79]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":12}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}