{"id":"https://openalex.org/W2741956709","doi":"https://doi.org/10.18653/v1/p17-1085","title":"Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees","display_name":"Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2741956709","doi":"https://doi.org/10.18653/v1/p17-1085","mag":"2741956709"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p17-1085","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1085","pdf_url":null,"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 55th Annual Meeting of the Association for\n          Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/p17-1085","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050352955","display_name":"Arzoo Katiyar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Arzoo Katiyar","raw_affiliation_strings":["Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070511738","display_name":"Claire Cardie","orcid":"https://orcid.org/0000-0002-2061-6094"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Claire Cardie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050352955"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":23.3077,"has_fulltext":false,"cited_by_count":284,"citation_normalized_percentile":{"value":0.99547417,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"917","last_page":"928"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9983000159263611,"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":0.8373934626579285},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7506211400032043},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.7149040699005127},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.7137177586555481},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6360988616943359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6267423629760742},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5702974200248718},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.5607107877731323},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4829389452934265},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45702287554740906},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34944623708724976},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.2640441060066223},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09050622582435608}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8373934626579285},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7506211400032043},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.7149040699005127},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.7137177586555481},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6360988616943359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6267423629760742},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5702974200248718},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.5607107877731323},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4829389452934265},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45702287554740906},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34944623708724976},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.2640441060066223},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09050622582435608},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p17-1085","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1085","pdf_url":null,"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 55th Annual Meeting of the Association for\n          Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p17-1085","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1085","pdf_url":null,"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 55th Annual Meeting of the Association for\n          Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1551842868","https://openalex.org/W1866795174","https://openalex.org/W1889268436","https://openalex.org/W1902237438","https://openalex.org/W1940872118","https://openalex.org/W2020278455","https://openalex.org/W2042188227","https://openalex.org/W2053238041","https://openalex.org/W2064675550","https://openalex.org/W2077054525","https://openalex.org/W2095705004","https://openalex.org/W2099120987","https://openalex.org/W2110485445","https://openalex.org/W2115834228","https://openalex.org/W2130942839","https://openalex.org/W2132516856","https://openalex.org/W2133439966","https://openalex.org/W2134033474","https://openalex.org/W2138627627","https://openalex.org/W2144012961","https://openalex.org/W2151170651","https://openalex.org/W2153579005","https://openalex.org/W2250710764","https://openalex.org/W2251091211","https://openalex.org/W2307381258","https://openalex.org/W2465041517","https://openalex.org/W2507756961","https://openalex.org/W2511598956","https://openalex.org/W2556691798","https://openalex.org/W2963123301","https://openalex.org/W2963148156","https://openalex.org/W2963369167","https://openalex.org/W2964167098","https://openalex.org/W2964217331","https://openalex.org/W2964308564","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W52840052","https://openalex.org/W1741504538","https://openalex.org/W1687852313","https://openalex.org/W3029243869","https://openalex.org/W2019696434","https://openalex.org/W2502336004","https://openalex.org/W3162837891","https://openalex.org/W4308623176","https://openalex.org/W2358078963","https://openalex.org/W2023249001"],"abstract_inverted_index":{"We":[0,16,62],"present":[1],"a":[2],"novel":[3],"attention-based":[4],"recurrent":[5],"neural":[6],"network":[7,27],"for":[8],"joint":[9,55],"extraction":[10],"of":[11],"entity":[12,33,88],"mentions":[13,34,89],"and":[14,59,76,79,90,114],"relations.":[15,93,116],"show":[17,48,80],"that":[18,49,81,99],"attention":[19],"along":[20],"with":[21,67],"long":[22],"short":[23],"term":[24],"memory":[25],"(LSTM)":[26],"can":[28],"extract":[29],"semantic":[30],"relations":[31],"between":[32],"without":[35],"having":[36],"access":[37],"to":[38],"dependency":[39],"trees.":[40],"Experiments":[41],"on":[42,87,92,105,112],"Automatic":[43],"Content":[44],"Extraction":[45],"(ACE)":[46],"corpora":[47],"our":[50,65,82,100],"model":[51,56,66,72,83,101],"significantly":[52,103],"outperforms":[53],"feature-based":[54],"by":[57,74],"Li":[58],"Ji":[60],"(2014).":[61],"also":[63,97],"compare":[64],"an":[68],"end-to-end":[69],"tree-based":[70],"LSTM":[71],"(SPTree)":[73],"Miwa":[75],"Bansal":[77],"(2016)":[78],"performs":[84,102,110],"within":[85],"1%":[86],"2%":[91],"Our":[94],"fine-grained":[95],"analysis":[96],"shows":[98],"better":[104,111],"Agent-Artifact":[106],"relations,":[107],"while":[108],"SPTree":[109],"Physical":[113],"Part-Whole":[115]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":35},{"year":2022,"cited_by_count":43},{"year":2021,"cited_by_count":50},{"year":2020,"cited_by_count":63},{"year":2019,"cited_by_count":32},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-05-28T09:10:13.091523","created_date":"2025-10-10T00:00:00"}