{"id":"https://openalex.org/W2943363121","doi":"https://doi.org/10.18653/v1/s19-2018","title":"HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings","display_name":"HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2943363121","doi":"https://doi.org/10.18653/v1/s19-2018","mag":"2943363121"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s19-2018","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2018","pdf_url":"https://www.aclweb.org/anthology/S19-2018.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 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S19-2018.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Saba Anwar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Saba Anwar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Dmitry Ustalov","orcid":null},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dmitry Ustalov","raw_affiliation_strings":["Data and Web Science Group, University of Mannheim, Germany"],"affiliations":[{"raw_affiliation_string":"Data and Web Science Group, University of Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nikolay Arefyev","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141363","display_name":"Samsung (Russia)","ror":"https://ror.org/051an6p98","country_code":"RU","type":"company","lineage":["https://openalex.org/I4210141363"]},{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Nikolay Arefyev","raw_affiliation_strings":["Lomonosov Moscow State University, Russia","Samsung R&D Institute Russia"],"affiliations":[{"raw_affiliation_string":"Lomonosov Moscow State University, Russia","institution_ids":["https://openalex.org/I19880235"]},{"raw_affiliation_string":"Samsung R&D Institute Russia","institution_ids":["https://openalex.org/I4210141363"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Simone Paolo Ponzetto","orcid":null},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simone Paolo Ponzetto","raw_affiliation_strings":["Data and Web Science Group, University of Mannheim, Germany"],"affiliations":[{"raw_affiliation_string":"Data and Web Science Group, University of Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chris Biemann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chris Biemann","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Alexander Panchenko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexander Panchenko","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.578,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75054217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"125","last_page":"129"},"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":0.9998000264167786,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/task","display_name":"Task (project management)","score":0.6894000172615051},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6766999959945679},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6765999794006348},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5741999745368958},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5475000143051147},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.492900013923645},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.49070000648498535}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.786899983882904},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7437999844551086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7224000096321106},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6894000172615051},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6766999959945679},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6765999794006348},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5741999745368958},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5475000143051147},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.492900013923645},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.49070000648498535},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.47929999232292175},{"id":"https://openalex.org/C67277372","wikidata":"https://www.wikidata.org/wiki/Q7449085","display_name":"Semantic role labeling","level":3,"score":0.4336000084877014},{"id":"https://openalex.org/C2776397901","wikidata":"https://www.wikidata.org/wiki/Q24905","display_name":"Verb","level":2,"score":0.4259999990463257},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.36820000410079956},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.31859999895095825},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.3131999969482422},{"id":"https://openalex.org/C198942812","wikidata":"https://www.wikidata.org/wiki/Q496618","display_name":"Semantic property","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.25529998540878296},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/s19-2018","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2018","pdf_url":"https://www.aclweb.org/anthology/S19-2018.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 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1905.01739","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.01739","pdf_url":"https://arxiv.org/pdf/1905.01739","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/s19-2018","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2018","pdf_url":"https://www.aclweb.org/anthology/S19-2018.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 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5106512922","display_name":null,"funder_award_id":"Deutsche Forschungsgemeinschaft (DFG","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6024419964","display_name":null,"funder_award_id":"Deutsche Forschungsgemeinschaft (DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6052429835","display_name":null,"funder_award_id":"(DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320309370","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10"},{"id":"https://openalex.org/F4320320875","display_name":"Deutscher Akademischer Austauschdienst","ror":"https://ror.org/039djdh30"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2943363121.pdf","grobid_xml":"https://content.openalex.org/works/W2943363121.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"present":[1],"our":[2],"system":[3],"for":[4],"semantic":[5,32],"frame":[6,33],"induction":[7,34],"that":[8],"showed":[9],"the":[10,19,25],"best":[11],"performance":[12],"in":[13,21],"Subtask":[14,22],"B.1":[15],"and":[16,52,56,76,84],"finished":[17],"as":[18],"runner-up":[20],"A":[23,66],"of":[24,69],"SemEval":[26],"2019":[27],"Task":[28],"2":[29],"on":[30],"unsupervised":[31],"(Qasem-iZadeh":[35],"et":[36],"al.,":[37],"2019).":[38],"Our":[39],"approach":[40],"separates":[41],"this":[42],"task":[43],"into":[44],"two":[45],"independent":[46],"steps:":[47],"verb":[48],"clustering":[49],"using":[50],"word":[51],"their":[53],"context":[54],"embeddings":[55,62],"role":[57],"labeling":[58],"by":[59],"combining":[60],"these":[61,70],"with":[63],"syntactical":[64],"features.":[65],"simple":[67],"combination":[68],"steps":[71],"shows":[72],"very":[73],"competitive":[74],"results":[75],"can":[77],"be":[78],"extended":[79],"to":[80],"process":[81],"other":[82],"datasets":[83],"languages.":[85]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2019-05-09T00:00:00"}