{"id":"https://openalex.org/W2894706950","doi":"https://doi.org/10.18653/v1/d18-1018","title":"Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers","display_name":"Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2894706950","doi":"https://doi.org/10.18653/v1/d18-1018","mag":"2894706950"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d18-1018","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1018","pdf_url":"https://www.aclweb.org/anthology/D18-1018.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D18-1018.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054918343","display_name":"Nafise Sadat Moosavi","orcid":"https://orcid.org/0000-0002-8332-307X"},"institutions":[{"id":"https://openalex.org/I71030271","display_name":"Heidelberg Institute for Theoretical Studies","ror":"https://ror.org/01f7bcy98","country_code":"DE","type":"facility","lineage":["https://openalex.org/I71030271"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nafise Sadat Moosavi","raw_affiliation_strings":["Heidelberg Institute for Theoretical Studies gGmbH","Research Training Group AIPHES"],"affiliations":[{"raw_affiliation_string":"Heidelberg Institute for Theoretical Studies gGmbH","institution_ids":["https://openalex.org/I71030271"]},{"raw_affiliation_string":"Research Training Group AIPHES","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020347604","display_name":"Michael Strube","orcid":"https://orcid.org/0000-0002-4731-8142"},"institutions":[{"id":"https://openalex.org/I71030271","display_name":"Heidelberg Institute for Theoretical Studies","ror":"https://ror.org/01f7bcy98","country_code":"DE","type":"facility","lineage":["https://openalex.org/I71030271"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Michael Strube","raw_affiliation_strings":["Heidelberg Institute for Theoretical Studies gGmbH"],"affiliations":[{"raw_affiliation_string":"Heidelberg Institute for Theoretical Studies gGmbH","institution_ids":["https://openalex.org/I71030271"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020347604"],"corresponding_institution_ids":["https://openalex.org/I71030271"],"apc_list":null,"apc_paid":null,"fwci":3.1192,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.92394495,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"193","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9883000254631042,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.975600004196167,"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/coreference","display_name":"Coreference","score":0.9935418367385864},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.867360532283783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8381255865097046},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.6596505641937256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6565243005752563},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6355642080307007},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5471779108047485},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.49019676446914673},{"id":"https://openalex.org/keywords/resolver","display_name":"Resolver","score":0.4869926869869232},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4203367829322815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07366085052490234}],"concepts":[{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.9935418367385864},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.867360532283783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8381255865097046},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.6596505641937256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6565243005752563},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6355642080307007},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5471779108047485},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.49019676446914673},{"id":"https://openalex.org/C80156102","wikidata":"https://www.wikidata.org/wiki/Q788036","display_name":"Resolver","level":3,"score":0.4869926869869232},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4203367829322815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07366085052490234},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d18-1018","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1018","pdf_url":"https://www.aclweb.org/anthology/D18-1018.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d18-1018","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1018","pdf_url":"https://www.aclweb.org/anthology/D18-1018.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2962039251","display_name":null,"funder_award_id":"No. GRK","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G3424576390","display_name":null,"funder_award_id":"GRK 1994","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G481299621","display_name":null,"funder_award_id":"GRK 1994/1","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/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320324316","display_name":"Klaus Tschira Stiftung","ror":"https://ror.org/052jep661"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2894706950.pdf","grobid_xml":"https://content.openalex.org/works/W2894706950.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W84378237","https://openalex.org/W94621786","https://openalex.org/W1493790738","https://openalex.org/W1503071992","https://openalex.org/W1511095343","https://openalex.org/W1535708804","https://openalex.org/W1612381393","https://openalex.org/W1965693266","https://openalex.org/W2035866446","https://openalex.org/W2050273484","https://openalex.org/W2067982155","https://openalex.org/W2087919687","https://openalex.org/W2098345921","https://openalex.org/W2115482638","https://openalex.org/W2116396873","https://openalex.org/W2116780029","https://openalex.org/W2117169652","https://openalex.org/W2118585731","https://openalex.org/W2121636384","https://openalex.org/W2122207982","https://openalex.org/W2123442489","https://openalex.org/W2141110543","https://openalex.org/W2145679919","https://openalex.org/W2149956050","https://openalex.org/W2159123127","https://openalex.org/W2159757335","https://openalex.org/W2250668331","https://openalex.org/W2251064706","https://openalex.org/W2507397568","https://openalex.org/W2513867989","https://openalex.org/W2517683119","https://openalex.org/W2571842322","https://openalex.org/W2574762171","https://openalex.org/W2593536831","https://openalex.org/W2609608256","https://openalex.org/W2962769558","https://openalex.org/W2963167649","https://openalex.org/W2964222246","https://openalex.org/W3120740533","https://openalex.org/W4214717370","https://openalex.org/W4235234743"],"related_works":["https://openalex.org/W1526923327","https://openalex.org/W2103095311","https://openalex.org/W2250403624","https://openalex.org/W2121636384","https://openalex.org/W3041549465","https://openalex.org/W2380610138","https://openalex.org/W3171444480","https://openalex.org/W3212412177","https://openalex.org/W4206648670","https://openalex.org/W2529509480"],"abstract_inverted_index":{"Coreference":[0],"resolution":[1],"is":[2,10,28,124],"an":[3],"intermediate":[4],"step":[5],"for":[6,16,32,100,135],"text":[7],"understanding.":[8],"It":[9],"used":[11],"in":[12,67,115],"tasks":[13],"and":[14,92],"domains":[15,54],"which":[17,123],"we":[18,60],"do":[19],"not":[20],"necessarily":[21],"have":[22,40],"coreference":[23,33,38,71,101],"annotated":[24],"corpora.":[25],"Therefore,":[26],"generalization":[27,76],"of":[29,64,85,94],"special":[30],"importance":[31],"resolution.":[34],"However,":[35,89],"while":[36],"recent":[37],"resolvers":[39],"notable":[41],"improvements":[42],"on":[43,119,126],"the":[44,62],"CoNLL":[45],"dataset,":[46],"they":[47],"struggle":[48],"to":[49,52,107],"generalize":[50],"properly":[51],"new":[53],"or":[55],"datasets.":[56],"In":[57],"this":[58,136],"paper,":[59],"investigate":[61],"role":[63],"linguistic":[65,87],"features":[66,91],"building":[68],"more":[69],"generalizable":[70],"resolvers.":[72],"We":[73],"show":[74],"that":[75,97],"improves":[77,104],"only":[78],"slightly":[79],"by":[80],"merely":[81],"using":[82],"a":[83,132],"set":[84],"additional":[86],"features.":[88],"employing":[90],"subsets":[93],"their":[95],"values":[96],"are":[98],"informative":[99],"resolution,":[102],"considerably":[103],"generalization.":[105],"Thanks":[106],"better":[108],"generalization,":[109],"our":[110,121],"system":[111,133],"achieves":[112,128],"state-of-the-art":[113],"results":[114],"out-of-domain":[116],"evaluations,":[117],"e.g.,":[118],"WikiCoref,":[120],"system,":[122],"trained":[125],"CoNLL,":[127],"on-par":[129],"performance":[130],"with":[131],"designed":[134],"dataset.":[137]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}