{"id":"https://openalex.org/W2250441574","doi":"https://doi.org/10.3115/v1/p15-1048","title":"Efficient Disfluency Detection with Transition-based Parsing","display_name":"Efficient Disfluency Detection with Transition-based Parsing","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2250441574","doi":"https://doi.org/10.3115/v1/p15-1048","mag":"2250441574"},"language":"en","primary_location":{"id":"doi:10.3115/v1/p15-1048","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p15-1048","pdf_url":"https://www.aclweb.org/anthology/P15-1048.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 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P15-1048.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091839641","display_name":"Shuangzhi Wu","orcid":"https://orcid.org/0000-0002-6371-9720"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN","GB","IN"],"is_corresponding":true,"raw_author_name":"Shuangzhi Wu","raw_affiliation_strings":["Harbin Institute of Technology  Microsoft Research","Harbin Institute of Technology \u2021 Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology  Microsoft Research","institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Harbin Institute of Technology \u2021 Microsoft Research","institution_ids":["https://openalex.org/I4210124949","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416386","display_name":"Dongdong Zhang","orcid":"https://orcid.org/0000-0003-0833-7903"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["CN","GB","IN"],"is_corresponding":false,"raw_author_name":"Dongdong Zhang","raw_affiliation_strings":["Harbin Institute of Technology  Microsoft Research","Harbin Institute of Technology \u2021 Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology  Microsoft Research","institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Harbin Institute of Technology \u2021 Microsoft Research","institution_ids":["https://openalex.org/I4210124949","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701574","display_name":"Ming Zhou","orcid":"https://orcid.org/0000-0002-5701-1996"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["CN","GB","IN"],"is_corresponding":false,"raw_author_name":"Ming Zhou","raw_affiliation_strings":["Harbin Institute of Technology  Microsoft Research","Harbin Institute of Technology \u2021 Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology  Microsoft Research","institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Harbin Institute of Technology \u2021 Microsoft Research","institution_ids":["https://openalex.org/I4210124949","https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101661008","display_name":"Tiejun Zhao","orcid":"https://orcid.org/0000-0003-4659-4935"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["CN","GB","IN"],"is_corresponding":false,"raw_author_name":"Tiejun Zhao","raw_affiliation_strings":["Harbin Institute of Technology  Microsoft Research","Harbin Institute of Technology \u2021 Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology  Microsoft Research","institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Harbin Institute of Technology \u2021 Microsoft Research","institution_ids":["https://openalex.org/I4210124949","https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091839641"],"corresponding_institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4210124949","https://openalex.org/I4210164937"],"apc_list":null,"apc_paid":null,"fwci":2.5887,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.91733645,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"495","last_page":"503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T12031","display_name":"Speech and dialogue systems","score":0.9994000196456909,"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":0.9991000294685364,"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":0.6931681632995605},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6116406917572021},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.5804175138473511},{"id":"https://openalex.org/keywords/bottom-up-parsing","display_name":"Bottom-up parsing","score":0.5513454079627991},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3932475745677948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3793238401412964},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3324018120765686},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3271978497505188},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.3108929395675659},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.14261779189109802}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6931681632995605},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6116406917572021},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.5804175138473511},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.5513454079627991},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3932475745677948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3793238401412964},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3324018120765686},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3271978497505188},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.3108929395675659},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.14261779189109802},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/p15-1048","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p15-1048","pdf_url":"https://www.aclweb.org/anthology/P15-1048.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 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/p15-1048","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p15-1048","pdf_url":"https://www.aclweb.org/anthology/P15-1048.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 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250441574.pdf","grobid_xml":"https://content.openalex.org/works/W2250441574.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1508977358","https://openalex.org/W1632114991","https://openalex.org/W1969841301","https://openalex.org/W1979702444","https://openalex.org/W2008652694","https://openalex.org/W2021208044","https://openalex.org/W2067030274","https://openalex.org/W2092477611","https://openalex.org/W2114887620","https://openalex.org/W2116410915","https://openalex.org/W2121227244","https://openalex.org/W2147228869","https://openalex.org/W2148321854","https://openalex.org/W2152373026","https://openalex.org/W2154118774","https://openalex.org/W2161274063","https://openalex.org/W2169058332","https://openalex.org/W2203858612","https://openalex.org/W2250330117","https://openalex.org/W2250355711","https://openalex.org/W2250819400","https://openalex.org/W2989792753"],"related_works":["https://openalex.org/W2792937288","https://openalex.org/W3143982968","https://openalex.org/W3088470625","https://openalex.org/W3035970863","https://openalex.org/W2619584063","https://openalex.org/W2952780262","https://openalex.org/W2970260326","https://openalex.org/W2804916787","https://openalex.org/W2389755172","https://openalex.org/W4320024782"],"abstract_inverted_index":{"Shuangzhi":[0],"Wu,":[1],"Dongdong":[2],"Zhang,":[3],"Ming":[4],"Zhou,":[5],"Tiejun":[6],"Zhao.":[7],"Proceedings":[8],"of":[9,14],"the":[10,15,21],"53rd":[11],"Annual":[12],"Meeting":[13],"Association":[16],"for":[17],"Computational":[18],"Linguistics":[19],"and":[20],"7th":[22],"International":[23],"Joint":[24],"Conference":[25],"on":[26],"Natural":[27],"Language":[28],"Processing":[29],"(Volume":[30],"1:":[31],"Long":[32],"Papers).":[33],"2015.":[34]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}