{"id":"https://openalex.org/W2921518353","doi":"https://doi.org/10.1109/icosc.2019.8665533","title":"End-to-End Product Taxonomy Extension from Text Reviews","display_name":"End-to-End Product Taxonomy Extension from Text Reviews","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2921518353","doi":"https://doi.org/10.1109/icosc.2019.8665533","mag":"2921518353"},"language":"en","primary_location":{"id":"doi:10.1109/icosc.2019.8665533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icosc.2019.8665533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Conference on Semantic Computing (ICSC)","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/A5022177067","display_name":"Longquan Jiang","orcid":"https://orcid.org/0000-0002-7333-2589"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Longquan Jiang","raw_affiliation_strings":["Mainiway"],"affiliations":[{"raw_affiliation_string":"Mainiway","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016925752","display_name":"Or Biran","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118385","display_name":"Cambridge Cognition (United Kingdom)","ror":"https://ror.org/02k55qr52","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210118385"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Or Biran","raw_affiliation_strings":["Elemental Cognition"],"affiliations":[{"raw_affiliation_string":"Elemental Cognition","institution_ids":["https://openalex.org/I4210118385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073270606","display_name":"Mrigank Tiwari","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mrigank Tiwari","raw_affiliation_strings":["Mainiway"],"affiliations":[{"raw_affiliation_string":"Mainiway","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112444524","display_name":"Zhiliang Weng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiliang Weng","raw_affiliation_strings":["Mainiway"],"affiliations":[{"raw_affiliation_string":"Mainiway","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109466332","display_name":"Yassine Benajiba","orcid":null},"institutions":[{"id":"https://openalex.org/I1308906816","display_name":"NortonLifeLock (United States)","ror":"https://ror.org/0449t3a80","country_code":"US","type":"company","lineage":["https://openalex.org/I1308906816"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yassine Benajiba","raw_affiliation_strings":["Symanto"],"affiliations":[{"raw_affiliation_string":"Symanto","institution_ids":["https://openalex.org/I1308906816"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022177067"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5772,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74761277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2019","issue":null,"first_page":"195","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9993000030517578,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9993000030517578,"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":0.9991999864578247,"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/T11550","display_name":"Text and Document Classification Technologies","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/categorization","display_name":"Categorization","score":0.8898317813873291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7205883264541626},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.6316735148429871},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.618209719657898},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5876725316047668},{"id":"https://openalex.org/keywords/product-category","display_name":"Product category","score":0.5597939491271973},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.521528959274292},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5079405903816223},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4793001711368561},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4057372808456421},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09308081865310669},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08666542172431946},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07612651586532593}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.8898317813873291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7205883264541626},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.6316735148429871},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.618209719657898},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5876725316047668},{"id":"https://openalex.org/C147101817","wikidata":"https://www.wikidata.org/wiki/Q13443840","display_name":"Product category","level":3,"score":0.5597939491271973},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.521528959274292},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5079405903816223},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4793001711368561},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4057372808456421},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09308081865310669},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08666542172431946},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07612651586532593},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icosc.2019.8665533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icosc.2019.8665533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Conference on Semantic Computing (ICSC)","raw_type":"proceedings-article"},{"id":"mag:3041830223","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902261987852662","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W1572864191","https://openalex.org/W1591840823","https://openalex.org/W1806015339","https://openalex.org/W1969221592","https://openalex.org/W2022166150","https://openalex.org/W2127589108","https://openalex.org/W2128870637","https://openalex.org/W2133564696","https://openalex.org/W2138621090","https://openalex.org/W2141631351","https://openalex.org/W2144108169","https://openalex.org/W2167061159","https://openalex.org/W2171683557","https://openalex.org/W2250518897","https://openalex.org/W2251905138","https://openalex.org/W2470673105","https://openalex.org/W2493916176","https://openalex.org/W2508865106","https://openalex.org/W2745153524","https://openalex.org/W2964308564","https://openalex.org/W4235505822","https://openalex.org/W4247977950","https://openalex.org/W6633949239","https://openalex.org/W6638256780","https://openalex.org/W6691259341","https://openalex.org/W6691699382","https://openalex.org/W6723250868"],"related_works":["https://openalex.org/W2047139419","https://openalex.org/W1983121323","https://openalex.org/W2263847717","https://openalex.org/W2802566203","https://openalex.org/W3122263839","https://openalex.org/W2075975241","https://openalex.org/W4391850619","https://openalex.org/W3135467818","https://openalex.org/W3156248312","https://openalex.org/W1983135191"],"abstract_inverted_index":{"Product":[0],"ontologies":[1],"-":[2,20],"consisting":[3],"of":[4,8,13,29,67,73],"a":[5,52,63,85,101],"taxonomic":[6],"categorization":[7,66,90],"product":[9,74,108],"types":[10,16],"and":[11,17,27,37,43,69,95,99],"lists":[12,72],"attributes":[14,75],"that":[15,81],"products":[18,94],"have":[19],"are":[21],"invaluable":[22],"for":[23,92],"analyzing":[24],"sales,":[25],"opinions":[26],"ratings":[28],"items":[30],"on":[31,88],"e-commerce":[32],"sites.":[33],"Unfortunately,":[34],"many":[35],"international":[36],"smaller":[38],"sites":[39],"lack":[40],"such":[41,58],"ontologies,":[42],"instead":[44],"feature":[45],"only":[46],"coarse":[47,59],"high-level":[48],"categories.":[49],"We":[50,79],"present":[51],"Siamese":[53],"neural":[54],"model":[55,83],"which":[56],"utilizes":[57],"categories":[60],"to":[61,105],"learn":[62],"fine-grained":[64],"hierarchical":[65],"products,":[68],"jointly":[70],"extract":[71,106],"from":[76],"text":[77],"reviews.":[78],"show":[80],"our":[82],"retains":[84],"high":[86],"accuracy":[87],"the":[89],"task":[91],"unseen":[93,96],"category":[97],"depths,":[98],"as":[100],"side":[102],"effect":[103],"learns":[104],"useful":[107],"attributes.":[109]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}