{"id":"https://openalex.org/W2775749679","doi":"https://doi.org/10.26615/978-954-452-049-6_080","title":"Measuring the Limit of Semantic Divergence for English Tweets","display_name":"Measuring the Limit of Semantic Divergence for English Tweets","publication_year":2017,"publication_date":"2017-11-10","ids":{"openalex":"https://openalex.org/W2775749679","doi":"https://doi.org/10.26615/978-954-452-049-6_080","mag":"2775749679"},"language":"en","primary_location":{"id":"doi:10.26615/978-954-452-049-6_080","is_oa":true,"landing_page_url":"http://doi.org/10.26615/978-954-452-049-6_080","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_080","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.26615/978-954-452-049-6_080","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034136043","display_name":"Dwijen Rudrapal","orcid":"https://orcid.org/0000-0002-9729-277X"},"institutions":[{"id":"https://openalex.org/I196486160","display_name":"National Institute of Technology Agartala","ror":"https://ror.org/03swyrn62","country_code":"IN","type":"education","lineage":["https://openalex.org/I196486160"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dwijen Rudrapal","raw_affiliation_strings":["CSE Department NIT Agartala, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSE Department NIT Agartala, India","institution_ids":["https://openalex.org/I196486160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101679308","display_name":"Amitava Das","orcid":"https://orcid.org/0000-0003-3418-463X"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amitava Das","raw_affiliation_strings":["CSE Department IIIT Sricity, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSE Department IIIT Sricity, India","institution_ids":["https://openalex.org/I64189192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.19346774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"618","last_page":"624"},"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":0.9998999834060669,"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/T12031","display_name":"Speech and dialogue systems","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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.8047060966491699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7928847670555115},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7818143367767334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6734710931777954},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6108874082565308},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6012003421783447},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.5969153046607971},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5748574733734131},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5384352803230286},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4607795774936676},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.46013325452804565},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.45159077644348145},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.4495384693145752},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.44130992889404297},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09290501475334167}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8047060966491699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7928847670555115},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7818143367767334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6734710931777954},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6108874082565308},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6012003421783447},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.5969153046607971},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5748574733734131},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5384352803230286},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4607795774936676},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.46013325452804565},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.45159077644348145},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4495384693145752},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.44130992889404297},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09290501475334167},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.26615/978-954-452-049-6_080","is_oa":true,"landing_page_url":"http://doi.org/10.26615/978-954-452-049-6_080","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_080","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.26615/978-954-452-049-6_080","is_oa":true,"landing_page_url":"http://doi.org/10.26615/978-954-452-049-6_080","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_080","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2775749679.pdf","grobid_xml":"https://content.openalex.org/works/W2775749679.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W10647322","https://openalex.org/W163225968","https://openalex.org/W183757929","https://openalex.org/W419376470","https://openalex.org/W1496967451","https://openalex.org/W1500547826","https://openalex.org/W1560729591","https://openalex.org/W1596001070","https://openalex.org/W1598608588","https://openalex.org/W1623907603","https://openalex.org/W1877481539","https://openalex.org/W1980369943","https://openalex.org/W2051593977","https://openalex.org/W2055842720","https://openalex.org/W2095755718","https://openalex.org/W2101421618","https://openalex.org/W2117805756","https://openalex.org/W2124003719","https://openalex.org/W2165876809","https://openalex.org/W2169498276","https://openalex.org/W2251530174","https://openalex.org/W2251797829","https://openalex.org/W2251877085","https://openalex.org/W2264742718","https://openalex.org/W2322584079","https://openalex.org/W2950225692","https://openalex.org/W2950617817","https://openalex.org/W4233331272","https://openalex.org/W4243383518","https://openalex.org/W4252656835"],"related_works":["https://openalex.org/W4214678372","https://openalex.org/W1605559518","https://openalex.org/W4214601164","https://openalex.org/W4284703357","https://openalex.org/W3157284875","https://openalex.org/W2147241511","https://openalex.org/W2259406085","https://openalex.org/W2099715052","https://openalex.org/W4226247999","https://openalex.org/W3090872036"],"abstract_inverted_index":{"In":[0,96],"human":[1],"language,":[2],"an":[3,85],"expression":[4],"could":[5],"be":[6],"conveyed":[7],"in":[8],"many":[9,64],"ways":[10],"by":[11],"different":[12,28,31,35,41],"people.":[13],"Even":[14],"that":[15],"the":[16,21,55,58,89],"same":[17,22],"person":[18],"may":[19,39],"express":[20],"sentence":[23],"quite":[24],"differently":[25],"when":[26],"addressing":[27],"audiences,":[29],"using":[30,34],"modalities,":[32],"or":[33,38],"syntactic":[36],"variations":[37],"use":[40],"set":[42],"of":[43,47,52,57,91,104],"vocabulary.":[44],"The":[45],"possibility":[46],"such":[48,92],"endless":[49,93],"surface":[50],"form":[51],"text":[53,59,79],"while":[54],"meaning":[56],"remains":[60],"almost":[61],"same,":[62],"poses":[63],"challenges":[65],"for":[66],"Natural":[67],"Language":[68],"Processing":[69],"(NLP)":[70],"systems":[71],"like":[72],"question-answering":[73],"system,":[74],"machine":[75],"translation":[76],"system":[77],"and":[78],"summarization.":[80],"This":[81],"research":[82,98],"paper":[83],"is":[84],"endeavor":[86],"to":[87],"understand":[88],"characteristic":[90],"semantic":[94,106],"divergence.":[95],"this":[97],"work":[99],"we":[100],"develop":[101],"a":[102],"corpus":[103],"1525":[105],"divergent":[107],"sentences":[108],"generated":[109],"from":[110],"200":[111],"English":[112],"seed":[113],"tweets.":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2017-12-22T00:00:00"}
