{"id":"https://openalex.org/W3120375180","doi":"https://doi.org/10.1109/ialp51396.2020.9310496","title":"Sentences Similarity Based on Deep Structured Semantic Model and Semantic Role Labeling","display_name":"Sentences Similarity Based on Deep Structured Semantic Model and Semantic Role Labeling","publication_year":2020,"publication_date":"2020-12-04","ids":{"openalex":"https://openalex.org/W3120375180","doi":"https://doi.org/10.1109/ialp51396.2020.9310496","mag":"3120375180"},"language":"en","primary_location":{"id":"doi:10.1109/ialp51396.2020.9310496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp51396.2020.9310496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5079266572","display_name":"Qiaoli Zhou","orcid":"https://orcid.org/0000-0002-6991-7605"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiaoli Zhou","raw_affiliation_strings":["School of Computing, Shenyang Aerospace University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"School of Computing, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102008461","display_name":"Zhiwen Jiang","orcid":"https://orcid.org/0000-0003-0947-8724"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Jiang","raw_affiliation_strings":["School of Computing, Shenyang Aerospace University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"School of Computing, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100729262","display_name":"Feng\u2010Ling Yang","orcid":"https://orcid.org/0000-0003-2392-8381"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengling Yang","raw_affiliation_strings":["School of Computing, Shenyang Aerospace University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"School of Computing, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079266572"],"corresponding_institution_ids":["https://openalex.org/I125904092"],"apc_list":null,"apc_paid":null,"fwci":0.3977,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70294984,"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":"40","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9986000061035156,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9858999848365784,"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/semantic-similarity","display_name":"Semantic similarity","score":0.8217700719833374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7713000774383545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7553748488426208},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7516648769378662},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7270274758338928},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5156680345535278},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48946845531463623},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4627639651298523},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.45817017555236816},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.4310910701751709},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14564654231071472},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.12011328339576721},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07968002557754517}],"concepts":[{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.8217700719833374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7713000774383545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7553748488426208},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7516648769378662},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7270274758338928},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5156680345535278},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48946845531463623},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4627639651298523},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.45817017555236816},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4310910701751709},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14564654231071472},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.12011328339576721},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07968002557754517},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp51396.2020.9310496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp51396.2020.9310496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.75,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1591840823","https://openalex.org/W1614298861","https://openalex.org/W2081580037","https://openalex.org/W2136189984","https://openalex.org/W2250539671","https://openalex.org/W2250861254","https://openalex.org/W2752289368","https://openalex.org/W2753924560","https://openalex.org/W2771521924","https://openalex.org/W2950577311","https://openalex.org/W2972297345","https://openalex.org/W3101613385","https://openalex.org/W4205337843","https://openalex.org/W6636510571"],"related_works":["https://openalex.org/W1965623300","https://openalex.org/W3134365128","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2541135911","https://openalex.org/W2359259132","https://openalex.org/W2176214140","https://openalex.org/W2516873349","https://openalex.org/W2624542985","https://openalex.org/W4387489691"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,26],"method":[4,102],"of":[5,63,109],"sentences":[6,40,48,64,71],"similarity":[7,54,65],"based":[8,55],"on":[9,56,80],"deep":[10,30],"semantic":[11,14,18,27,50,57],"model":[12,19],"and":[13,52,83,87,93],"role":[15],"labeling.":[16],"Deep":[17],"is":[20],"to":[21,38],"learn":[22],"word":[23],"representation":[24],"in":[25],"space":[28],"using":[29],"learning":[31],"technology,":[32],"then":[33],"we":[34,46],"use":[35],"generated":[36],"vectors":[37],"calculate":[39,53],"similarity.":[41,72],"At":[42],"the":[43,81,107],"same":[44],"time,":[45],"label":[47],"with":[49],"roles":[51],"roles.":[58],"Finally,":[59],"those":[60],"two":[61],"kinds":[62],"are":[66,77],"linearly":[67],"combined":[68],"as":[69],"final":[70],"In":[73],"this":[74],"paper,":[75],"experiments":[76],"carried":[78],"out":[79],"SemEva1-2017":[82],"SemEva1-2016":[84],"task":[85],"1,":[86],"Pearson":[88],"correlation":[89],"coefficients":[90],"reach":[91],"85%":[92],"63%":[94],"respectively.":[95],"Experimental":[96],"results":[97],"show":[98],"that":[99],"our":[100,110],"proposed":[101],"outperforms":[103],"existing":[104],"methods":[105],"demonstrating":[106],"effectiveness":[108],"approach.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}