{"id":"https://openalex.org/W3114549292","doi":"https://doi.org/10.1145/3430984.3431969","title":"Opening the NLP Blackbox - Analysis and Evaluation of NLP Models","display_name":"Opening the NLP Blackbox - Analysis and Evaluation of NLP Models","publication_year":2020,"publication_date":"2020-12-28","ids":{"openalex":"https://openalex.org/W3114549292","doi":"https://doi.org/10.1145/3430984.3431969","mag":"3114549292"},"language":"en","primary_location":{"id":"doi:10.1145/3430984.3431969","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430984.3431969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005710090","display_name":"Sandya Mannarswamy","orcid":"https://orcid.org/0000-0002-2871-705X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sandya Mannarswamy","raw_affiliation_strings":["Independent Researcher, India"],"affiliations":[{"raw_affiliation_string":"Independent Researcher, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078097158","display_name":"Saravanan Chidambaram","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saravanan Chidambaram","raw_affiliation_strings":["Independent Researcher, India"],"affiliations":[{"raw_affiliation_string":"Independent Researcher, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005710090"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57106307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"61","issue":null,"first_page":"447","last_page":"448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9979000091552734,"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":0.9979000091552734,"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":0.991100013256073,"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/T10260","display_name":"Software Engineering Research","score":0.9728000164031982,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7858045101165771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7786244750022888},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7061876654624939}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7858045101165771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7786244750022888},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7061876654624939}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3430984.3431969","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430984.3431969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2596146415","https://openalex.org/W2752177116","https://openalex.org/W2752194699","https://openalex.org/W2799007037","https://openalex.org/W2892181857","https://openalex.org/W2906152891","https://openalex.org/W2951286828","https://openalex.org/W2962718684","https://openalex.org/W2963558636","https://openalex.org/W3006704962","https://openalex.org/W3026320104","https://openalex.org/W4205918858","https://openalex.org/W4391156274"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Although":[0],"Rapid":[1],"progress":[2,28],"in":[3,29,82,88,160],"NLP":[4,20,30,40,104,127,142],"Research":[5],"has":[6,95],"seen":[7],"a":[8,17,52,138],"swift":[9],"translation":[10],"to":[11,31,45,61,132],"real":[12,89],"world":[13,90],"commercial":[14],"deployment.":[15],"While":[16],"number":[18],"of":[19,25,39,54,57,63,66,72,74,78,118,141],"applications":[21],"have":[22,34],"emerged,":[23],"failures":[24],"translating":[26],"scientific":[27],"real-world":[32],"software":[33],"also":[35,154],"been":[36,96],"considerable.":[37],"Evaluation":[38],"models":[41,85],"is":[42,120],"often":[43],"limited":[44],"held":[46],"out":[47],"test":[48,111],"set":[49,112],"accuracy":[50],"on":[51],"handful":[53],"datasets.":[55],"Lack":[56],"rigorous":[58],"evaluation":[59,107,146],"leads":[60],"over-estimation":[62],"generalization":[64],"performance":[65,113],"the":[67,75,79,126],"built":[68],"model.":[69],"A":[70],"lack":[71],"understanding":[73],"inner":[76],"workings":[77],"model":[80,143],"results":[81],"\u2018Clever":[83],"Hans\u2019":[84],"which":[86],"fail":[87],"deployments.":[91],"Of":[92],"late":[93],"there":[94],"considerable":[97],"research":[98,158],"interest":[99],"into":[100],"analysis":[101,144],"methods":[102],"for":[103],"models,":[105],"and":[106,145,151,153],"techniques":[108],"going":[109],"beyond":[110],"metrics.":[114],"However,":[115],"this":[116,134,161],"area":[117],"work":[119],"still":[121],"not":[122],"widely":[123],"disseminated":[124],"through":[125],"community.":[128],"This":[129],"tutorial":[130],"aims":[131],"address":[133],"gap,":[135],"by":[136],"providing":[137],"detailed":[139],"overview":[140],"methods,":[147],"discuss":[148],"their":[149],"strengths":[150],"weaknesses":[152],"point":[155],"towards":[156],"future":[157],"directions":[159],"area.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}