{"id":"https://openalex.org/W2469987016","doi":"https://doi.org/10.18653/v1/s16-1182","title":"The Meaning Factory at SemEval-2016 Task 8: Producing AMRs with Boxer","display_name":"The Meaning Factory at SemEval-2016 Task 8: Producing AMRs with Boxer","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2469987016","doi":"https://doi.org/10.18653/v1/s16-1182","mag":"2469987016"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s16-1182","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1182","pdf_url":"https://www.aclweb.org/anthology/S16-1182.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S16-1182.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013472329","display_name":"Johannes Bjerva","orcid":"https://orcid.org/0000-0002-9512-0739"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Johannes Bjerva","raw_affiliation_strings":["CLCG University of Groningen","University of Groningen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CLCG University of Groningen","institution_ids":["https://openalex.org/I169381384"]},{"raw_affiliation_string":"University of Groningen","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002288369","display_name":"Johan Bos","orcid":"https://orcid.org/0000-0002-9079-5438"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Johan Bos","raw_affiliation_strings":["CLCG University of Groningen","University of Groningen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CLCG University of Groningen","institution_ids":["https://openalex.org/I169381384"]},{"raw_affiliation_string":"University of Groningen","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034237344","display_name":"Hessel Haagsma","orcid":"https://orcid.org/0000-0003-1514-072X"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Hessel Haagsma","raw_affiliation_strings":["CLCG University of Groningen","University of Groningen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CLCG University of Groningen","institution_ids":["https://openalex.org/I169381384"]},{"raw_affiliation_string":"University of Groningen","institution_ids":["https://openalex.org/I169381384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I169381384"],"apc_list":null,"apc_paid":null,"fwci":1.9413,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.89109484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1179","last_page":"1184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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":1.0,"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":0.9990000128746033,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9934999942779541,"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/computer-science","display_name":"Computer science","score":0.8384236097335815},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.8382219672203064},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.8141769170761108},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.790497899055481},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6929001808166504},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6797307729721069},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6601240038871765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5612333416938782},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44831353425979614},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3208778500556946},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11336928606033325},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07535251975059509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8384236097335815},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.8382219672203064},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.8141769170761108},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.790497899055481},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6929001808166504},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6797307729721069},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6601240038871765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5612333416938782},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44831353425979614},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3208778500556946},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11336928606033325},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07535251975059509},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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":2,"locations":[{"id":"doi:10.18653/v1/s16-1182","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1182","pdf_url":"https://www.aclweb.org/anthology/S16-1182.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.rug.nl:openaire/66884757-db1b-4407-82e8-0f6fc6603511","is_oa":true,"landing_page_url":"https://research.rug.nl/en/publications/66884757-db1b-4407-82e8-0f6fc6603511","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bjerva, J, Bos, J & Haagsma, H 2016, The Meaning Factory at SemEval-2016 Task 8 : Producing AMRs with Boxer. in SemEval-2016 : The 10th International Workshop on Semantic Evaluation: Proceedings of the Workshop. Association for Computational Linguistics (ACL), Stroudsburg, PA, pp. 1070-1075. < http://aclweb.org/anthology/S16-1182 >","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.18653/v1/s16-1182","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1182","pdf_url":"https://www.aclweb.org/anthology/S16-1182.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2469987016.pdf","grobid_xml":"https://content.openalex.org/works/W2469987016.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1567277581","https://openalex.org/W1581218697","https://openalex.org/W2026810221","https://openalex.org/W2033194278","https://openalex.org/W2106237193","https://openalex.org/W2151048449","https://openalex.org/W2163108052","https://openalex.org/W2168579166","https://openalex.org/W2168652246","https://openalex.org/W2250623140","https://openalex.org/W2429968894","https://openalex.org/W4388176509"],"related_works":["https://openalex.org/W1988325893","https://openalex.org/W3029012650","https://openalex.org/W2776212826","https://openalex.org/W3214323197","https://openalex.org/W2805679416","https://openalex.org/W4385571001","https://openalex.org/W2805889480","https://openalex.org/W2805207564","https://openalex.org/W4385571880","https://openalex.org/W3179723530"],"abstract_inverted_index":{"We":[0],"participated":[1],"in":[2],"the":[3,15,33,50,55,70],"shared":[4,56],"task":[5],"on":[6,81,85],"meaning":[7,34,52],"representation":[8],"parsing":[9],"(Task":[10],"8":[11],"at":[12],"SemEval-2016)":[13],"with":[14],"aim":[16],"of":[17,54,69,79],"investigating":[18],"whether":[19],"we":[20],"could":[21],"use":[22],"Boxer,":[23,38],"an":[24],"existing":[25],"open-domain":[26],"semantic":[27],"parser,":[28],"for":[29],"this":[30],"task.":[31,57],"However,":[32],"representations":[35,53],"produced":[36],"by":[37],"Discourse":[39],"Representation":[40],"Structures,":[41],"are":[42],"considerably":[43],"different":[44],"from":[45],"Abstract":[46],"Meaning":[47],"Representations,":[48],"AMRs,":[49],"target":[51],"Our":[58],"hybrid":[59],"conversion":[60],"method":[61],"(involving":[62],"lexical":[63],"adaptation":[64],"as":[65,67],"well":[66],"post-processing":[68],"output)":[71],"failed":[72],"to":[73],"produce":[74],"state-of-the-art":[75],"results.":[76],"Nonetheless,":[77],"F-scores":[78],"53%":[80],"development":[82],"and":[83],"47%":[84],"test":[86],"data":[87],"(50%":[88],"unofficially)":[89],"were":[90],"obtained.":[91]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
