{"id":"https://openalex.org/W2751698142","doi":"https://doi.org/10.18653/v1/s17-2054","title":"SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question Answering","display_name":"SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question Answering","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2751698142","doi":"https://doi.org/10.18653/v1/s17-2054","mag":"2751698142"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s17-2054","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2054","pdf_url":"https://www.aclweb.org/anthology/S17-2054.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","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S17-2054.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018584668","display_name":"Jan Deriu","orcid":"https://orcid.org/0000-0002-8405-1344"},"institutions":[{"id":"https://openalex.org/I858936495","display_name":"ZHAW Zurich University of Applied Sciences","ror":"https://ror.org/05pmsvm27","country_code":"CH","type":"education","lineage":["https://openalex.org/I858936495"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Jan Milan Deriu","raw_affiliation_strings":["Zurich University of Applied Sciences"],"affiliations":[{"raw_affiliation_string":"Zurich University of Applied Sciences","institution_ids":["https://openalex.org/I858936495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077273985","display_name":"Mark Cieliebak","orcid":"https://orcid.org/0009-0007-3059-8516"},"institutions":[{"id":"https://openalex.org/I858936495","display_name":"ZHAW Zurich University of Applied Sciences","ror":"https://ror.org/05pmsvm27","country_code":"CH","type":"education","lineage":["https://openalex.org/I858936495"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Mark Cieliebak","raw_affiliation_strings":["Zurich University of Applied Sciences"],"affiliations":[{"raw_affiliation_string":"Zurich University of Applied Sciences","institution_ids":["https://openalex.org/I858936495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018584668"],"corresponding_institution_ids":["https://openalex.org/I858936495"],"apc_list":null,"apc_paid":null,"fwci":1.2462,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85305821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"334","last_page":"338"},"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":0.9969000220298767,"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":0.9904000163078308,"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/semeval","display_name":"SemEval","score":0.9637568593025208},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.9201854467391968},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8153067827224731},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6519542932510376},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6394761800765991},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.634238064289093},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6138608455657959},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48853787779808044},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3905886709690094},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0679660439491272}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.9637568593025208},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.9201854467391968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8153067827224731},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6519542932510376},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6394761800765991},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.634238064289093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6138608455657959},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48853787779808044},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3905886709690094},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0679660439491272},{"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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/s17-2054","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2054","pdf_url":"https://www.aclweb.org/anthology/S17-2054.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:digitalcollection.zhaw.ch:11475/1976","is_oa":true,"landing_page_url":"https://hdl.handle.net/11475/1976","pdf_url":null,"source":{"id":"https://openalex.org/S4306401810","display_name":"Z\u00fcrcher Hochschule f\u00fcr Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200744771","host_organization_name":"ZHAW Zurich University of Applied Sciences","host_organization_lineage":["https://openalex.org/I200744771"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"doi:10.21256/zhaw-3481","is_oa":true,"landing_page_url":"https://doi.org/10.21256/zhaw-3481","pdf_url":null,"source":{"id":"https://openalex.org/S7407051289","display_name":"ZHAW Digital Collection","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.18653/v1/s17-2054","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2054","pdf_url":"https://www.aclweb.org/anthology/S17-2054.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/W2751698142.pdf","grobid_xml":"https://content.openalex.org/works/W2751698142.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1665214252","https://openalex.org/W1869752048","https://openalex.org/W1966443646","https://openalex.org/W2127589108","https://openalex.org/W2133564696","https://openalex.org/W2153579005","https://openalex.org/W2171590421","https://openalex.org/W2173361515","https://openalex.org/W2211192759","https://openalex.org/W2251427843","https://openalex.org/W2468484304","https://openalex.org/W2915240437","https://openalex.org/W2963069010","https://openalex.org/W2964308564","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W1988325893","https://openalex.org/W2751613946","https://openalex.org/W4287887314","https://openalex.org/W2803726945","https://openalex.org/W4291593823","https://openalex.org/W2805641541","https://openalex.org/W4287888941","https://openalex.org/W4221151255","https://openalex.org/W2955722679","https://openalex.org/W2963463993"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,11,18,52],"system":[6],"for":[7,10,40],"reranking":[8],"answers":[9],"given":[12],"question.":[13],"Our":[14],"method":[15],"builds":[16],"on":[17,33,58],"siamese":[19],"CNN":[20],"architecture":[21],"which":[22],"is":[23],"extended":[24],"by":[25],"two":[26],"attention":[27],"mechanisms.":[28],"The":[29],"approach":[30],"was":[31],"evaluated":[32],"the":[34,37,59],"datasets":[35],"of":[36,55],"SemEval-2017":[38],"competition":[39],"Community":[41],"Question":[42],"Answering":[43],"(cQA),":[44],"where":[45],"it":[46],"achieved":[47],"7":[48],"th":[49],"place":[50],"obtaining":[51],"MAP":[53],"score":[54],"86.24":[56],"points":[57],"Question-Comment":[60],"Similarity":[61],"subtask.":[62]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
