{"id":"https://openalex.org/W2798347870","doi":"https://doi.org/10.18653/v1/p18-1171","title":"Sequence-to-sequence Models for Cache Transition Systems","display_name":"Sequence-to-sequence Models for Cache Transition Systems","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2798347870","doi":"https://doi.org/10.18653/v1/p18-1171","mag":"2798347870"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p18-1171","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1171","pdf_url":"https://www.aclweb.org/anthology/P18-1171.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 56th 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/P18-1171.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/A5016877422","display_name":"Linfeng Song","orcid":"https://orcid.org/0000-0002-3502-3574"},"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":"Linfeng Song","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/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/A5068504877","display_name":"Giorgio Satta","orcid":"https://orcid.org/0000-0001-7742-6438"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giorgio Satta","raw_affiliation_strings":["University of Padua"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Padua","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1842","last_page":"1852"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.995199978351593,"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/computer-science","display_name":"Computer science","score":0.8043843507766724},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6858795881271362},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6156997680664062},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.5296651721000671},{"id":"https://openalex.org/keywords/transition-system","display_name":"Transition system","score":0.4783758223056793},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.46806254982948303},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.44838759303092957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44335421919822693},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4276266396045685},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4184225797653198},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.33019357919692993},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29530614614486694},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.1969839334487915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06869909167289734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8043843507766724},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6858795881271362},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6156997680664062},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.5296651721000671},{"id":"https://openalex.org/C2779167558","wikidata":"https://www.wikidata.org/wiki/Q176468","display_name":"Transition system","level":2,"score":0.4783758223056793},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.46806254982948303},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.44838759303092957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44335421919822693},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4276266396045685},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4184225797653198},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.33019357919692993},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29530614614486694},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.1969839334487915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06869909167289734},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/p18-1171","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1171","pdf_url":"https://www.aclweb.org/anthology/P18-1171.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3301699","is_oa":false,"landing_page_url":"https://aclanthology.info/papers/P18-1171/p18-1171","pdf_url":null,"source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.18653/v1/p18-1171","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1171","pdf_url":"https://www.aclweb.org/anthology/P18-1171.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2798347870.pdf","grobid_xml":"https://content.openalex.org/works/W2798347870.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W655477013","https://openalex.org/W1517853909","https://openalex.org/W1522301498","https://openalex.org/W2004763266","https://openalex.org/W2105847779","https://openalex.org/W2123442489","https://openalex.org/W2133564696","https://openalex.org/W2134036914","https://openalex.org/W2149837184","https://openalex.org/W2250375035","https://openalex.org/W2250539671","https://openalex.org/W2250623140","https://openalex.org/W2250808720","https://openalex.org/W2251171690","https://openalex.org/W2251237305","https://openalex.org/W2251823395","https://openalex.org/W2252123671","https://openalex.org/W2296308987","https://openalex.org/W2423636506","https://openalex.org/W2470862100","https://openalex.org/W2475275044","https://openalex.org/W2514651853","https://openalex.org/W2561360547","https://openalex.org/W2619249607","https://openalex.org/W2625720409","https://openalex.org/W2739529945","https://openalex.org/W2758846169","https://openalex.org/W2772851365","https://openalex.org/W2788802500","https://openalex.org/W2949952998","https://openalex.org/W2963161698","https://openalex.org/W2963679213","https://openalex.org/W2964116568","https://openalex.org/W2964121744","https://openalex.org/W2964164798","https://openalex.org/W2964253663","https://openalex.org/W2964308564","https://openalex.org/W4241738801","https://openalex.org/W4293430466"],"related_works":["https://openalex.org/W3115565094","https://openalex.org/W4288558800","https://openalex.org/W2953770453","https://openalex.org/W3097570857","https://openalex.org/W4287623157","https://openalex.org/W4288336947","https://openalex.org/W3104108644","https://openalex.org/W4287654226","https://openalex.org/W2179743027","https://openalex.org/W1555755993"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,54],"present":[4,72],"a":[5,27,36,41,73],"sequenceto-sequence":[6],"based":[7],"approach":[8],"for":[9,67,78],"mapping":[10,24],"natural":[11],"language":[12],"sentences":[13],"to":[14,22,26,30,62,82],"AMR":[15,52,106],"semantic":[16],"graphs.":[17],"We":[18,71,98],"transform":[19],"the":[20,47,59,79,84,93,105,123],"sequence":[21,29,33],"graph":[23],"problem":[25,34],"word":[28],"transition":[31,38,43,60,80,90,102],"action":[32],"using":[35],"special":[37],"system":[39],"called":[40],"cache":[42],"system.":[44],"To":[45],"address":[46],"sparsity":[48],"issue":[49],"of":[50],"neural":[51,101],"parsing,":[53],"feed":[55],"feature":[56],"embeddings":[57],"from":[58],"state":[61,91],"provide":[63],"relevant":[64],"local":[65],"information":[66],"each":[68,89],"decoder":[69],"state.":[70],"monotonic":[74],"hard":[75],"attention":[76],"model":[77,103],"framework":[81],"handle":[83],"strictly":[85],"left-to-right":[86],"alignment":[87],"between":[88],"and":[92,109,116],"current":[94],"buffer":[95],"input":[96],"focus.":[97],"evaluate":[99],"our":[100,110],"on":[104],"parsing":[107],"task,":[108],"parser":[111],"outperforms":[112],"other":[113],"sequence-to-sequence":[114],"approaches":[115],"achieves":[117],"competitive":[118],"results":[119],"in":[120],"comparison":[121],"with":[122],"best-performing":[124],"models.":[125],"1":[126]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}