{"id":"https://openalex.org/W2805748994","doi":"https://doi.org/10.18653/v1/s18-1165","title":"ECNU at SemEval-2018 Task 10: Evaluating Simple but Effective Features on Machine Learning Methods for Semantic Difference Detection","display_name":"ECNU at SemEval-2018 Task 10: Evaluating Simple but Effective Features on Machine Learning Methods for Semantic Difference Detection","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2805748994","doi":"https://doi.org/10.18653/v1/s18-1165","mag":"2805748994"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s18-1165","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s18-1165","pdf_url":"https://www.aclweb.org/anthology/S18-1165.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 12th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S18-1165.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018473115","display_name":"Yunxiao Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunxiao Zhou","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057508424","display_name":"Man Lan","orcid":"https://orcid.org/0000-0002-1423-1286"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man Lan","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China","Shanghai Key Laboratory of Multidimensional Information Processing"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5118458994","display_name":"Yuanbin Wu","orcid":"https://orcid.org/0009-0009-5670-4940"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanbin Wu","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China","Shanghai Key Laboratory of Multidimensional Information Processing"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, P.R.China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018473115"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.4886,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72101305,"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":"999","last_page":"1002"},"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/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/T11550","display_name":"Text and Document Classification Technologies","score":0.9943000078201294,"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/semeval","display_name":"SemEval","score":0.9132775068283081},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.8506816029548645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8342701196670532},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7599305510520935},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7402128577232361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6859749555587769},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5874478816986084},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.569229781627655},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5314323902130127},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.48280322551727295},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4698311984539032},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43225061893463135},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06668972969055176}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.9132775068283081},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.8506816029548645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8342701196670532},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7599305510520935},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7402128577232361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6859749555587769},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5874478816986084},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.569229781627655},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5314323902130127},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.48280322551727295},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4698311984539032},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43225061893463135},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06668972969055176},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/s18-1165","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s18-1165","pdf_url":"https://www.aclweb.org/anthology/S18-1165.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 12th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/s18-1165","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s18-1165","pdf_url":"https://www.aclweb.org/anthology/S18-1165.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 12th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7699999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2805748994.pdf","grobid_xml":"https://content.openalex.org/works/W2805748994.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1593045043","https://openalex.org/W2101234009","https://openalex.org/W2102381086","https://openalex.org/W2118585731","https://openalex.org/W2153579005","https://openalex.org/W2250539671","https://openalex.org/W2250879510","https://openalex.org/W2251877085","https://openalex.org/W2295598076","https://openalex.org/W2517095220","https://openalex.org/W2807304112","https://openalex.org/W3102476541","https://openalex.org/W4294170691","https://openalex.org/W4388152766"],"related_works":["https://openalex.org/W1988325893","https://openalex.org/W2252023808","https://openalex.org/W2129510087","https://openalex.org/W3114765853","https://openalex.org/W2806278915","https://openalex.org/W2805572527","https://openalex.org/W2805850807","https://openalex.org/W4385570727","https://openalex.org/W2807304112","https://openalex.org/W2964561442"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3],"system":[4,68],"we":[5],"submitted":[6],"to":[7,29,58],"Task":[8],"10":[9],"(Capturing":[10],"Discriminative":[11],"Attributes)":[12],"in":[13],"SemEval":[14],"2018.":[15],"Given":[16],"a":[17,34],"triple":[18],"(word":[19],"1":[20],",":[21,24],"word":[22,44],"2":[23],"attribute),":[25],"this":[26,60],"task":[27],"is":[28],"predict":[30],"whether":[31],"it":[32],"exemplifies":[33],"semantic":[35],"difference":[36],"or":[37],"not.":[38],"We":[39],"design":[40],"and":[41,49],"investigate":[42],"several":[43],"embedding":[45],"features,":[46],"PMI":[47],"features":[48,51],"Word-Net":[50],"together":[52],"with":[53],"supervised":[54],"machine":[55],"learning":[56],"methods":[57],"address":[59],"task.":[61],"Officially":[62],"released":[63],"results":[64],"show":[65],"that":[66],"our":[67],"ranks":[69],"above":[70],"average.":[71]},"counts_by_year":[{"year":2019,"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"}