{"id":"https://openalex.org/W2739899818","doi":"https://doi.org/10.18653/v1/s17-1005","title":"Domain-Specific New Words Detection in Chinese","display_name":"Domain-Specific New Words Detection in Chinese","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2739899818","doi":"https://doi.org/10.18653/v1/s17-1005","mag":"2739899818"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s17-1005","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-1005","pdf_url":"https://www.aclweb.org/anthology/S17-1005.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 6th Joint Conference on Lexical and Computational\n          Semantics (*SEM 2017)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S17-1005.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100326793","display_name":"Ao Chen","orcid":"https://orcid.org/0000-0002-9748-5483"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ao Chen","raw_affiliation_strings":["Department of Computer Science and Technology, State Key Lab on Intelligent Technology and Systems,","National Lab for Information Science and Technology, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, State Key Lab on Intelligent Technology and Systems,","institution_ids":[]},{"raw_affiliation_string":"National Lab for Information Science and Technology, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046448314","display_name":"Maosong Sun","orcid":"https://orcid.org/0000-0002-6011-6115"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maosong Sun","raw_affiliation_strings":["Department of Computer Science and Technology, State Key Lab on Intelligent Technology and Systems,","National Lab for Information Science and Technology, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, State Key Lab on Intelligent Technology and Systems,","institution_ids":[]},{"raw_affiliation_string":"National Lab for Information Science and Technology, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100326793"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.5851,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75409517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"44","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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/T13629","display_name":"Text Readability and Simplification","score":0.9970999956130981,"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/domain","display_name":"Domain (mathematical analysis)","score":0.8134807348251343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8024139404296875},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5978053212165833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5824835896492004},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.47656798362731934},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46500691771507263},{"id":"https://openalex.org/keywords/effective-domain","display_name":"Effective domain","score":0.44275131821632385},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33362680673599243},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07972517609596252},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06988772749900818}],"concepts":[{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.8134807348251343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8024139404296875},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5978053212165833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5824835896492004},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.47656798362731934},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46500691771507263},{"id":"https://openalex.org/C58385900","wikidata":"https://www.wikidata.org/wiki/Q5347254","display_name":"Effective domain","level":5,"score":0.44275131821632385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33362680673599243},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07972517609596252},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06988772749900818},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"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/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.0},{"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/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111110010","wikidata":"https://www.wikidata.org/wiki/Q2627315","display_name":"Convex combination","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/s17-1005","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-1005","pdf_url":"https://www.aclweb.org/anthology/S17-1005.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 6th Joint Conference on Lexical and Computational\n          Semantics (*SEM 2017)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/s17-1005","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-1005","pdf_url":"https://www.aclweb.org/anthology/S17-1005.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 6th Joint Conference on Lexical and Computational\n          Semantics (*SEM 2017)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2739899818.pdf","grobid_xml":"https://content.openalex.org/works/W2739899818.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W114321176","https://openalex.org/W182571877","https://openalex.org/W1493309334","https://openalex.org/W1593045043","https://openalex.org/W1815301076","https://openalex.org/W1922658394","https://openalex.org/W1977766834","https://openalex.org/W1977948731","https://openalex.org/W2036516910","https://openalex.org/W2069634543","https://openalex.org/W2093424574","https://openalex.org/W2095624699","https://openalex.org/W2120429080","https://openalex.org/W2121497944","https://openalex.org/W2128351576","https://openalex.org/W2170909726","https://openalex.org/W2250626347","https://openalex.org/W2408754830","https://openalex.org/W2548491045","https://openalex.org/W2608544008","https://openalex.org/W3043710305"],"related_works":["https://openalex.org/W1793337513","https://openalex.org/W2013664009","https://openalex.org/W4252008810","https://openalex.org/W4293311564","https://openalex.org/W81662391","https://openalex.org/W1996202456","https://openalex.org/W4210908245","https://openalex.org/W2739899818","https://openalex.org/W3126825338","https://openalex.org/W2297167600"],"abstract_inverted_index":{"With":[0],"the":[1,32,63,112],"explosive":[2],"growth":[3],"of":[4,48],"Internet,":[5],"more":[6,8],"and":[7,17,25,62],"domain-specific":[9,33,42,49],"environments":[10],"appear,":[11],"such":[12],"as":[13],"forums,":[14],"blogs,":[15],"MOOCs":[16],"etc.":[18],"Domain-specific":[19],"words":[20,44,51,58,86],"appear":[21],"in":[22,31,59],"these":[23,78],"areas":[24],"always":[26],"play":[27],"a":[28,72,107],"critical":[29],"role":[30],"NLP":[34],"tasks.":[35],"This":[36],"paper":[37],"aims":[38],"at":[39],"extracting":[40],"Chinese":[41],"new":[43,50,57,85],"automatically.":[45],"The":[46],"extraction":[47],"has":[52],"two":[53,79],"parts":[54],"including":[55],"both":[56],"this":[60,68],"domain":[61],"especially":[64],"important":[65],"words.":[66],"In":[67],"work,":[69],"we":[70],"propose":[71],"joint":[73,104],"statistical":[74],"model":[75,90,105],"to":[76,83],"perform":[77],"works":[80],"simultaneously.":[81],"Compared":[82],"traditional":[84],"detection":[87],"models,":[88],"our":[89,103],"doesn't":[91],"need":[92],"handcraft":[93],"features":[94],"which":[95],"are":[96],"labor":[97],"intensive.":[98],"Experimental":[99],"results":[100],"demonstrate":[101],"that":[102],"achieves":[106],"better":[108],"performance":[109],"compared":[110],"with":[111],"state-of-the-art":[113],"methods.":[114]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
