{"id":"https://openalex.org/W2251477369","doi":"https://doi.org/10.3115/v1/w14-4332","title":"Using Ellipsis Detection and Word Similarity for Transformation of Spoken Language into Grammatically Valid Sentences","display_name":"Using Ellipsis Detection and Word Similarity for Transformation of Spoken Language into Grammatically Valid Sentences","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2251477369","doi":"https://doi.org/10.3115/v1/w14-4332","mag":"2251477369"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w14-4332","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-4332","pdf_url":null,"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 Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3115/v1/w14-4332","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078305333","display_name":"Manuel Giuliani","orcid":"https://orcid.org/0000-0003-3781-7623"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Manuel Giuliani","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000732372","display_name":"Thomas Marschall","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Marschall","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5077604183","display_name":"Amy Isard","orcid":"https://orcid.org/0000-0001-8014-4853"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amy Isard","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078305333"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8457,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82691232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"243","last_page":"250"},"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":0.9997000098228455,"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":0.9987999796867371,"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":0.8271898627281189},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7891955971717834},{"id":"https://openalex.org/keywords/ellipsis","display_name":"Ellipsis (linguistics)","score":0.7244718074798584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7053935527801514},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.6142896413803101},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.5904900431632996},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5470666289329529},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.49581870436668396},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.44625598192214966},{"id":"https://openalex.org/keywords/combinatory-categorial-grammar","display_name":"Combinatory categorial grammar","score":0.4209466278553009},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35793018341064453},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3348264694213867},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.27615779638290405},{"id":"https://openalex.org/keywords/link-grammar","display_name":"Link grammar","score":0.1515333354473114},{"id":"https://openalex.org/keywords/attribute-grammar","display_name":"Attribute grammar","score":0.14459675550460815},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08554330468177795}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8271898627281189},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7891955971717834},{"id":"https://openalex.org/C2780881102","wikidata":"https://www.wikidata.org/wiki/Q189743","display_name":"Ellipsis (linguistics)","level":2,"score":0.7244718074798584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7053935527801514},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.6142896413803101},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.5904900431632996},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5470666289329529},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.49581870436668396},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.44625598192214966},{"id":"https://openalex.org/C199837984","wikidata":"https://www.wikidata.org/wiki/Q730974","display_name":"Combinatory categorial grammar","level":5,"score":0.4209466278553009},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35793018341064453},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3348264694213867},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.27615779638290405},{"id":"https://openalex.org/C957247","wikidata":"https://www.wikidata.org/wiki/Q6554304","display_name":"Link grammar","level":4,"score":0.1515333354473114},{"id":"https://openalex.org/C164041254","wikidata":"https://www.wikidata.org/wiki/Q597455","display_name":"Attribute grammar","level":3,"score":0.14459675550460815},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08554330468177795},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/v1/w14-4332","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-4332","pdf_url":null,"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 Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.674.4013","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.674.4013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://anthology.aclweb.org/W/W14/W14-4332.pdf","raw_type":"text"},{"id":"pmh:oai:pure.ed.ac.uk:publications/467fdcd0-7c7b-447c-a3c2-8e9eef376fe0","is_oa":false,"landing_page_url":"https://www.research.ed.ac.uk/portal/en/publications/using-ellipsis-detection-and-word-similarity-for-transformation-of-spoken-language-into-grammatically-valid-sentences(467fdcd0-7c7b-447c-a3c2-8e9eef376fe0).html","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.3115/v1/w14-4332","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-4332","pdf_url":null,"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 Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8100000023841858,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W67630737","https://openalex.org/W86094004","https://openalex.org/W202761734","https://openalex.org/W204008969","https://openalex.org/W982846641","https://openalex.org/W1567277581","https://openalex.org/W1581585919","https://openalex.org/W1973933596","https://openalex.org/W2003217921","https://openalex.org/W2070921031","https://openalex.org/W2081580037","https://openalex.org/W2098850747","https://openalex.org/W2102682809","https://openalex.org/W2132963441","https://openalex.org/W2136930489","https://openalex.org/W2140454176","https://openalex.org/W2141184766","https://openalex.org/W2141581749","https://openalex.org/W2153001703","https://openalex.org/W2155572870","https://openalex.org/W2168671000","https://openalex.org/W2250263036"],"related_works":["https://openalex.org/W2043952800","https://openalex.org/W2047143235","https://openalex.org/W2957377172","https://openalex.org/W2165693052","https://openalex.org/W2164877079","https://openalex.org/W2113471940","https://openalex.org/W2569513598","https://openalex.org/W2907883452","https://openalex.org/W101928771","https://openalex.org/W2251695880"],"abstract_inverted_index":{"When":[0],"humans":[1],"speak":[2],"they":[3,19],"often":[4],"use":[5,87],"gram-matically":[6],"incorrect":[7],"sentences,":[8],"which":[9,49,85],"is":[10,23,42,72],"a":[11,58,122,132],"problem":[12],"for":[13,25,45,62],"grammar-based":[14],"language":[15,35],"pro-cessing":[16],"methods,":[17],"since":[18],"expect":[20],"in-put":[21],"that":[22,75,93,104,128],"valid":[24],"the":[26,67,77,97,105],"grammar.":[27,98],"We":[28],"present":[29],"two":[30,81,109],"methods":[31,110],"to":[32,65,88,91,96,112],"transform":[33],"spoken":[34,53,126],"into":[36],"grammatically":[37],"correct":[38],"sen-tences.":[39],"The":[40,69],"first":[41],"an":[43,73,100,113],"algorithm":[44,74],"au-tomatic":[46],"ellipsis":[47],"detection,":[48],"finds":[50],"el-lipses":[51],"in":[52,57],"sentences":[54,127],"and":[55],"searches":[56],"combinatory":[59],"categorial":[60],"grammar":[61],"suitable":[63],"words":[64,82,92],"fill":[66],"ellipses.":[68],"sec-ond":[70],"method":[71],"computes":[76],"semantic":[78],"similarity":[79],"of":[80,107,115,125],"us-ing":[83],"WordNet,":[84],"we":[86,102],"find":[89],"alter-natives":[90],"are":[94],"unknown":[95],"In":[99],"evaluation,":[101],"show":[103],"usage":[106],"these":[108],"leads":[111],"increase":[114],"38.64":[116],"%":[117],"more":[118],"parseable":[119],"sen-tences":[120],"on":[121],"test":[123],"set":[124],"were":[129],"collected":[130],"during":[131],"human-robot":[133],"interaction":[134],"experiment.":[135],"1":[136]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}