{"id":"https://openalex.org/W2751642587","doi":"https://doi.org/10.18653/v1/s17-2048","title":"FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering","display_name":"FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2751642587","doi":"https://doi.org/10.18653/v1/s17-2048","mag":"2751642587"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s17-2048","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2048","pdf_url":"https://www.aclweb.org/anthology/S17-2048.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 11th International Workshop on Semantic Evaluation\n          (SemEval-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/S17-2048.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061536209","display_name":"Giuseppe Attardi","orcid":"https://orcid.org/0000-0003-3875-6404"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giuseppe Attardi","raw_affiliation_strings":["Department of Computer Science, University of Pisa Largo B. Pontecorvo,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa Largo B. Pontecorvo,","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041806564","display_name":"Antonio Carta","orcid":"https://orcid.org/0000-0002-0003-2323"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Carta","raw_affiliation_strings":["Department of Computer Science, University of Pisa Largo B. Pontecorvo,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa Largo B. Pontecorvo,","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084297425","display_name":"Federico Errica","orcid":"https://orcid.org/0000-0001-5181-2904"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federico Errica","raw_affiliation_strings":["Department of Computer Science, University of Pisa Largo B. Pontecorvo,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa Largo B. Pontecorvo,","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061096363","display_name":"Andrea Madotto","orcid":"https://orcid.org/0000-0002-8672-715X"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Madotto","raw_affiliation_strings":["Department of Computer Science, University of Pisa Largo B. Pontecorvo,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa Largo B. Pontecorvo,","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060374112","display_name":"Ludovica Pannitto","orcid":"https://orcid.org/0000-0002-5760-6447"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ludovica Pannitto","raw_affiliation_strings":["Department of Computer Science, University of Pisa Largo B. Pontecorvo,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa Largo B. Pontecorvo,","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061536209"],"corresponding_institution_ids":["https://openalex.org/I108290504"],"apc_list":null,"apc_paid":null,"fwci":0.8308,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80770211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"299","last_page":"304"},"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":0.9976999759674072,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9396384954452515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8785139322280884},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.740017831325531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7040949463844299},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6550654172897339},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6396991014480591},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.627018928527832},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6040433645248413},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5925784111022949},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5525380373001099},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5396826863288879},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5308219790458679},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5291016101837158},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4779674708843231},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4309217631816864},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.41539067029953003},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3923298120498657}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.9396384954452515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8785139322280884},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.740017831325531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7040949463844299},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6550654172897339},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6396991014480591},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.627018928527832},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6040433645248413},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5925784111022949},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5525380373001099},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5396826863288879},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5308219790458679},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5291016101837158},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4779674708843231},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4309217631816864},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.41539067029953003},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3923298120498657},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/s17-2048","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2048","pdf_url":"https://www.aclweb.org/anthology/S17-2048.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 11th International Workshop on Semantic Evaluation\n          (SemEval-2017)","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/904374","is_oa":false,"landing_page_url":"http://hdl.handle.net/11568/904374","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"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":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:cris.unibo.it:11585/949537","is_oa":true,"landing_page_url":"https://aclanthology.org/events/semeval-2017","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:zenodo.org:54418","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/54418","pdf_url":null,"source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"doi:10.18653/v1/s17-2048","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2048","pdf_url":"https://www.aclweb.org/anthology/S17-2048.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 11th International Workshop on Semantic Evaluation\n          (SemEval-2017)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2751642587.pdf","grobid_xml":"https://content.openalex.org/works/W2751642587.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W59145111","https://openalex.org/W82869218","https://openalex.org/W1522301498","https://openalex.org/W1665214252","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2097998348","https://openalex.org/W2250539671","https://openalex.org/W2303829361","https://openalex.org/W2460471599","https://openalex.org/W2467646401","https://openalex.org/W2468484304","https://openalex.org/W2472879408","https://openalex.org/W2915240437","https://openalex.org/W2964121744","https://openalex.org/W2964199361","https://openalex.org/W4297728021"],"related_works":["https://openalex.org/W1517853909","https://openalex.org/W2751089246","https://openalex.org/W2954439574","https://openalex.org/W2252046358","https://openalex.org/W3117847293","https://openalex.org/W3115494066","https://openalex.org/W3211319105","https://openalex.org/W2131833475","https://openalex.org/W3015426011","https://openalex.org/W4300772098"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4],"ThReeNN,":[5],"a":[6,27,34,49],"model":[7,18,43],"for":[8,48,57],"Community":[9],"Question":[10],"Answering,":[11],"Task":[12],"3,":[13],"of":[14,46,61],"SemEval-2017.":[15],"The":[16,64],"proposed":[17],"exploits":[19],"both":[20],"syntactic":[21],"and":[22,29],"semantic":[23],"information":[24],"to":[25],"build":[26],"single":[28],"meaningful":[30],"embedding":[31],"space.":[32],"Using":[33],"dependency":[35],"parser":[36],"in":[37],"combination":[38],"with":[39],"word":[40],"embeddings,":[41],"the":[42,58,62,68],"creates":[44],"sequences":[45],"inputs":[47],"Recurrent":[50],"Neural":[51],"Network,":[52],"which":[53],"are":[54],"then":[55],"used":[56],"ranking":[59],"purposes":[60],"Task.":[63],"score":[65],"obtained":[66],"on":[67],"official":[69],"test":[70],"data":[71],"shows":[72],"promising":[73],"results.":[74]},"counts_by_year":[{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
