{"id":"https://openalex.org/W111475876","doi":null,"title":"Semantic Role Features for Machine Translation","display_name":"Semantic Role Features for Machine Translation","publication_year":2010,"publication_date":"2010-08-23","ids":{"openalex":"https://openalex.org/W111475876","mag":"111475876"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.662.9808","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.662.9808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/C10-1081/","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101522028","display_name":"Ding Liu","orcid":"https://orcid.org/0000-0002-2070-9661","observed_orcids":["https://orcid.org/0000-0002-2070-9661","https://orcid.org/0000-0003-0159-8545"]},"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":"Ding Liu","raw_affiliation_strings":["University of Rochester"],"raw_orcid":"https://orcid.org/0000-0002-2070-9661","affiliations":[{"raw_affiliation_string":"University of Rochester","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020945377","display_name":"Daniel Gildea","orcid":"https://orcid.org/0000-0002-7858-2624","observed_orcids":["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":"https://orcid.org/0000-0002-7858-2624","affiliations":[{"raw_affiliation_string":"University of Rochester","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":6.3424,"has_fulltext":false,"cited_by_count":96,"citation_normalized_percentile":{"value":0.96439887,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"716","last_page":"724"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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":0.00039999998989515007,"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/T12031","display_name":"Speech and dialogue systems","score":0.0003000000142492354,"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/thematic-roles","display_name":"thematic roles","score":0.7710000276565552},{"id":"https://openalex.org/keywords/reordering","display_name":"reordering","score":0.6639999747276306},{"id":"https://openalex.org/keywords/deletion","display_name":"deletion","score":0.8709999918937683},{"id":"https://openalex.org/keywords/sentence-fluency","display_name":"sentence fluency","score":0.7789999842643738},{"id":"https://openalex.org/keywords/machine-translation","display_name":"machine translation","score":0.7580000162124634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8053889274597168},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.671918511390686},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6431878805160522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6179566979408264},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5996094942092896},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.565113365650177},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5187990069389343},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.46093833446502686},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3297033905982971},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10518181324005127},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.662.9808","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.662.9808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/C10-1081/","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.696.1009","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.696.1009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.rochester.edu/%7Egildea/pubs/liu-gildea-coling10.pdf","raw_type":"text"},{"id":"mag:111475876","doi":null,"is_oa":false,"landing_page_url":"https://www.aclweb.org/anthology/C10-1081.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419219","display_name":"International Conference on Computational Linguistics","issn_l":"1525-2477","issn":["1525-2477"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Computational Linguistics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W204260652","https://openalex.org/W222053410","https://openalex.org/W1479669738","https://openalex.org/W1510052640","https://openalex.org/W1535015163","https://openalex.org/W1551202288","https://openalex.org/W1552061706","https://openalex.org/W1612003148","https://openalex.org/W1631260214","https://openalex.org/W2005126631","https://openalex.org/W2049633694","https://openalex.org/W2101105183","https://openalex.org/W2105822493","https://openalex.org/W2112900913","https://openalex.org/W2119314391","https://openalex.org/W2119610041","https://openalex.org/W2124807415","https://openalex.org/W2126610017","https://openalex.org/W2134612861","https://openalex.org/W2152436330","https://openalex.org/W2153653739","https://openalex.org/W2158431714","https://openalex.org/W2158847908","https://openalex.org/W2165109801","https://openalex.org/W2165666205","https://openalex.org/W2434901392","https://openalex.org/W2885050925"],"related_works":["https://openalex.org/W2153252986","https://openalex.org/W7095460586","https://openalex.org/W2774361764","https://openalex.org/W2125915252","https://openalex.org/W2736149027","https://openalex.org/W6960342575","https://openalex.org/W7097311564","https://openalex.org/W2795163502","https://openalex.org/W178455064","https://openalex.org/W2434901392"],"abstract_inverted_index":{"We":[0,47],"propose":[1],"semantic":[2,15,18,58],"role":[3,59],"features":[4,60],"for":[5],"a":[6,30],"Tree-to-String":[7,24],"transducer":[8],"to":[9,37],"model":[10,33],"the":[11,23,57,62],"re-ordering/deletion":[12],"of":[13],"source-side":[14],"roles.":[16],"These":[17],"features,":[19],"as":[20,22],"well":[21],"templates,":[25],"are":[26,35],"trained":[27,41],"based":[28,42,65],"on":[29,43,66],"conditional":[31],"log-linear":[32,63],"and":[34,45],"shown":[36],"significantly":[38],"outperform":[39],"systems":[40],"Max-Likelihood":[44],"EM.":[46],"also":[48],"show":[49],"significant":[50],"im-provement":[51],"in":[52,61],"sentence":[53],"fluency":[54],"by":[55],"using":[56],"model,":[64],"manual":[67],"evaluation.":[68],"1":[69]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":15},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":10}],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2016-06-24T00:00:00"}
