{"id":"https://openalex.org/W2469539863","doi":"https://doi.org/10.18653/v1/s16-1184","title":"CLIP$@$UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search","display_name":"CLIP$@$UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2469539863","doi":"https://doi.org/10.18653/v1/s16-1184","mag":"2469539863"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s16-1184","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1184","pdf_url":"https://www.aclweb.org/anthology/S16-1184.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S16-1184.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001484153","display_name":"Sudha Rao","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sudha Rao","raw_affiliation_strings":["Computer Science,","UMIACS University of Maryland"],"affiliations":[{"raw_affiliation_string":"Computer Science,","institution_ids":[]},{"raw_affiliation_string":"UMIACS University of Maryland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008851653","display_name":"Yogarshi Vyas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yogarshi Vyas","raw_affiliation_strings":["Computer Science,","UMIACS University of Maryland"],"affiliations":[{"raw_affiliation_string":"Computer Science,","institution_ids":[]},{"raw_affiliation_string":"UMIACS University of Maryland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019928111","display_name":"Hal Daum\u00e9","orcid":"https://orcid.org/0000-0002-3760-345X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hal Daum\u00e9 III","raw_affiliation_strings":["UMIACS University of Maryland","Computer Science,"],"affiliations":[{"raw_affiliation_string":"UMIACS University of Maryland","institution_ids":[]},{"raw_affiliation_string":"Computer Science,","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059946729","display_name":"Philip Resnik","orcid":"https://orcid.org/0000-0002-6130-8602"},"institutions":[{"id":"https://openalex.org/I4210121707","display_name":"Institute of Linguistics","ror":"https://ror.org/02mrea437","country_code":"CN","type":"facility","lineage":["https://openalex.org/I114218197","https://openalex.org/I4210121707"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Philip Resnik","raw_affiliation_strings":["Linguistics,","UMIACS University of Maryland"],"affiliations":[{"raw_affiliation_string":"Linguistics,","institution_ids":["https://openalex.org/I4210121707"]},{"raw_affiliation_string":"UMIACS University of Maryland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001484153"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1424,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.9045242,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1190","last_page":"1196"},"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":0.9998999834060669,"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/T13629","display_name":"Text Readability and Simplification","score":0.9940999746322632,"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":0.8208141922950745},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.723702073097229},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7102171182632446},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6951327323913574},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.6783177852630615},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6395267844200134},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6045432090759277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5653343796730042},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3852892816066742},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.0643797218799591},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.04099273681640625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8208141922950745},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.723702073097229},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7102171182632446},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6951327323913574},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.6783177852630615},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6395267844200134},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6045432090759277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5653343796730042},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3852892816066742},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0643797218799591},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.04099273681640625},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/s16-1184","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1184","pdf_url":"https://www.aclweb.org/anthology/S16-1184.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/s16-1184","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1184","pdf_url":"https://www.aclweb.org/anthology/S16-1184.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.49000000953674316,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2469539863.pdf","grobid_xml":"https://content.openalex.org/works/W2469539863.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W112666333","https://openalex.org/W1508977358","https://openalex.org/W1579035156","https://openalex.org/W1850531616","https://openalex.org/W1931054966","https://openalex.org/W1931877416","https://openalex.org/W2104917081","https://openalex.org/W2115663220","https://openalex.org/W2117598836","https://openalex.org/W2147880316","https://openalex.org/W2158349948","https://openalex.org/W2250375035","https://openalex.org/W2252123671","https://openalex.org/W2962957031","https://openalex.org/W4297664295"],"related_works":["https://openalex.org/W1988325893","https://openalex.org/W3029012650","https://openalex.org/W2776212826","https://openalex.org/W3214323197","https://openalex.org/W2805679416","https://openalex.org/W2805889480","https://openalex.org/W4385571880","https://openalex.org/W3114287729","https://openalex.org/W2805207564","https://openalex.org/W3179723530"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,70],"describe":[4],"our":[5],"approach":[6],"to":[7,26,34,68],"the":[8,38,48,50,53,85],"Abstract":[9],"Meaning":[10],"Representation":[11],"(AMR)":[12],"parsing":[13,40],"shared":[14],"task":[15,41],"as":[16,61,74],"part":[17],"of":[18,46,56,64],"SemEval":[19],"2016.":[20],"We":[21,36],"develop":[22],"a":[23,62,81],"novel":[24],"technique":[25],"parse":[27],"English":[28],"sentences":[29],"into":[30,42],"AMR":[31,39,87],"using":[32],"Learning":[33,67],"Search.":[35],"decompose":[37],"three":[43],"subtasks":[44,58],"-that":[45],"predicting":[47],"concepts,":[49],"relations,":[51],"and":[52,79],"root.":[54],"Each":[55],"these":[57],"are":[59],"treated":[60],"sequence":[63],"predictions.":[65],"Using":[66],"Search,":[69],"add":[71],"past":[72],"predictions":[73],"features":[75],"for":[76],"future":[77],"predictions,":[78],"define":[80],"combined":[82],"loss":[83],"over":[84],"entire":[86],"structure.":[88]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
