Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/497
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dc.contributor.authorMajumder, Prasenjit. ;en_US
dc.contributor.authorMitra, Mandar. ;en_US
dc.contributor.authorMehta, Parth. ;en_US
dc.contributor.authorSankhavara, Jainisha. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:17:43Z-
dc.date.available2020-05-17T08:17:43Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319736068 ;en_US
dc.identifier.isbn9783319736051 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/497-
dc.descriptionPrinted edition: ; 9783319736051. ;en_US
dc.descriptionQA75.5-76.95 ;en_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis book constitutes the refereed post-conference proceedings of a Workshop focussing on Text Processing, held at the Forum for InformationeRetrieval Evaluation, FIRE 2016, in Kolkata, India, in December 2016. 16 full papers have been selected for inclusion in the book out of 19esubmissions.e Thee papers refer to the following seven tracks: Consumer Health Information Search (CHIS), Detecting Paraphrases in Indian Languages (DPIL), Information Extraction from Microblogs Posted during Disasters, Persian Plagiarism Detection (PersianPlagDet), Personality Recognition in SOurce COde (PR-SOCO), Shared Task on Mixed Script Information Retrieval (MSIR), and Shared Task on Code Mix Entity Extraction in Indian Languages (CMEE-IL). ;en_US
dc.description.statementofresponsibilityedited by Prasenjit Majumder, Mandar Mitra, Parth Mehta, Jainisha Sankhavara.en_US
dc.description.tableofcontentsPAN at FIRE: Overview of the PR-SOCO Track on Personality Recognition in SOurce Code -- Microblog Retrieval during Disasters: Comparative Evaluation of IR Methodologies -- Overview of the Mixed Script Information Retrieval (MSIR) at FIRE-2016 -- From Vector Space Models to Vector Space Models of Semantics -- Algorithms and Corpora for Persian Plagiarism Detection: Overview of PAN at FIRE 2016 -- Predicting Type of Obfuscation to Enhance Text Alignment Algorithms -- A Fast Multi-Level Plagiarism Detection Method based on Document Embedding Representation -- Plagiarism Detection Based on a Novel Trie-Based Approach -- Using Local Text Similarity in Pairwise Document Analysis for Monolingual Plagiarism Detection -- Shared Task on Detecting Paraphrases in Indian Languages (DPIL): An Overview -- Anujen_US
dc.description.tableofcontentsDPIL-FIRE2016: A Novel Paraphrase Detection Method in Hindi Language using Machine Learning -- Learning to Detect Paraphrases in Indian Languages -- Sentence Paraphrase Detection Using Classification Models -- Feature Engineering and Characterization of Classifiers for Consumer Health Information Search -- Identification of Relevance and Support for Consumer Health Information -- Entity Extraction of Hindi-English and Tamil-English Code-Mixed Social Media Text. ;en_US
dc.format.extentVIII, 219 p. 56 illus. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10478. ;en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10478. ;en_US
dc.relation.haspart9783319736051.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectInformation Storage and Retrievalen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectText processing (Computer science). ;en_US
dc.subjectComputer Scienceen_US
dc.subjectInformation Storage and Retrieval. ;en_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectDocument Preparation and Text Processing. ;en_US
dc.subjectInformation Systems Applicationsen_US
dc.subject.ddc025.04 ; 23 ;en_US
dc.titleText Processingen_US
dc.title.alternativeFIRE 2016 International Workshop, Kolkata, India, December 7ee10, 2016, Revised Selected Papers /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

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Full metadata record
DC FieldValueLanguage
dc.contributor.authorMajumder, Prasenjit. ;en_US
dc.contributor.authorMitra, Mandar. ;en_US
dc.contributor.authorMehta, Parth. ;en_US
dc.contributor.authorSankhavara, Jainisha. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:17:43Z-
dc.date.available2020-05-17T08:17:43Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319736068 ;en_US
dc.identifier.isbn9783319736051 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/497-
dc.descriptionPrinted edition: ; 9783319736051. ;en_US
dc.descriptionQA75.5-76.95 ;en_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis book constitutes the refereed post-conference proceedings of a Workshop focussing on Text Processing, held at the Forum for InformationeRetrieval Evaluation, FIRE 2016, in Kolkata, India, in December 2016. 16 full papers have been selected for inclusion in the book out of 19esubmissions.e Thee papers refer to the following seven tracks: Consumer Health Information Search (CHIS), Detecting Paraphrases in Indian Languages (DPIL), Information Extraction from Microblogs Posted during Disasters, Persian Plagiarism Detection (PersianPlagDet), Personality Recognition in SOurce COde (PR-SOCO), Shared Task on Mixed Script Information Retrieval (MSIR), and Shared Task on Code Mix Entity Extraction in Indian Languages (CMEE-IL). ;en_US
dc.description.statementofresponsibilityedited by Prasenjit Majumder, Mandar Mitra, Parth Mehta, Jainisha Sankhavara.en_US
dc.description.tableofcontentsPAN at FIRE: Overview of the PR-SOCO Track on Personality Recognition in SOurce Code -- Microblog Retrieval during Disasters: Comparative Evaluation of IR Methodologies -- Overview of the Mixed Script Information Retrieval (MSIR) at FIRE-2016 -- From Vector Space Models to Vector Space Models of Semantics -- Algorithms and Corpora for Persian Plagiarism Detection: Overview of PAN at FIRE 2016 -- Predicting Type of Obfuscation to Enhance Text Alignment Algorithms -- A Fast Multi-Level Plagiarism Detection Method based on Document Embedding Representation -- Plagiarism Detection Based on a Novel Trie-Based Approach -- Using Local Text Similarity in Pairwise Document Analysis for Monolingual Plagiarism Detection -- Shared Task on Detecting Paraphrases in Indian Languages (DPIL): An Overview -- Anujen_US
dc.description.tableofcontentsDPIL-FIRE2016: A Novel Paraphrase Detection Method in Hindi Language using Machine Learning -- Learning to Detect Paraphrases in Indian Languages -- Sentence Paraphrase Detection Using Classification Models -- Feature Engineering and Characterization of Classifiers for Consumer Health Information Search -- Identification of Relevance and Support for Consumer Health Information -- Entity Extraction of Hindi-English and Tamil-English Code-Mixed Social Media Text. ;en_US
dc.format.extentVIII, 219 p. 56 illus. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10478. ;en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10478. ;en_US
dc.relation.haspart9783319736051.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectInformation Storage and Retrievalen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectText processing (Computer science). ;en_US
dc.subjectComputer Scienceen_US
dc.subjectInformation Storage and Retrieval. ;en_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectDocument Preparation and Text Processing. ;en_US
dc.subjectInformation Systems Applicationsen_US
dc.subject.ddc025.04 ; 23 ;en_US
dc.titleText Processingen_US
dc.title.alternativeFIRE 2016 International Workshop, Kolkata, India, December 7ee10, 2016, Revised Selected Papers /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319736051.pdf13.85 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMajumder, Prasenjit. ;en_US
dc.contributor.authorMitra, Mandar. ;en_US
dc.contributor.authorMehta, Parth. ;en_US
dc.contributor.authorSankhavara, Jainisha. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:17:43Z-
dc.date.available2020-05-17T08:17:43Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319736068 ;en_US
dc.identifier.isbn9783319736051 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/497-
dc.descriptionPrinted edition: ; 9783319736051. ;en_US
dc.descriptionQA75.5-76.95 ;en_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis book constitutes the refereed post-conference proceedings of a Workshop focussing on Text Processing, held at the Forum for InformationeRetrieval Evaluation, FIRE 2016, in Kolkata, India, in December 2016. 16 full papers have been selected for inclusion in the book out of 19esubmissions.e Thee papers refer to the following seven tracks: Consumer Health Information Search (CHIS), Detecting Paraphrases in Indian Languages (DPIL), Information Extraction from Microblogs Posted during Disasters, Persian Plagiarism Detection (PersianPlagDet), Personality Recognition in SOurce COde (PR-SOCO), Shared Task on Mixed Script Information Retrieval (MSIR), and Shared Task on Code Mix Entity Extraction in Indian Languages (CMEE-IL). ;en_US
dc.description.statementofresponsibilityedited by Prasenjit Majumder, Mandar Mitra, Parth Mehta, Jainisha Sankhavara.en_US
dc.description.tableofcontentsPAN at FIRE: Overview of the PR-SOCO Track on Personality Recognition in SOurce Code -- Microblog Retrieval during Disasters: Comparative Evaluation of IR Methodologies -- Overview of the Mixed Script Information Retrieval (MSIR) at FIRE-2016 -- From Vector Space Models to Vector Space Models of Semantics -- Algorithms and Corpora for Persian Plagiarism Detection: Overview of PAN at FIRE 2016 -- Predicting Type of Obfuscation to Enhance Text Alignment Algorithms -- A Fast Multi-Level Plagiarism Detection Method based on Document Embedding Representation -- Plagiarism Detection Based on a Novel Trie-Based Approach -- Using Local Text Similarity in Pairwise Document Analysis for Monolingual Plagiarism Detection -- Shared Task on Detecting Paraphrases in Indian Languages (DPIL): An Overview -- Anujen_US
dc.description.tableofcontentsDPIL-FIRE2016: A Novel Paraphrase Detection Method in Hindi Language using Machine Learning -- Learning to Detect Paraphrases in Indian Languages -- Sentence Paraphrase Detection Using Classification Models -- Feature Engineering and Characterization of Classifiers for Consumer Health Information Search -- Identification of Relevance and Support for Consumer Health Information -- Entity Extraction of Hindi-English and Tamil-English Code-Mixed Social Media Text. ;en_US
dc.format.extentVIII, 219 p. 56 illus. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10478. ;en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10478. ;en_US
dc.relation.haspart9783319736051.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectInformation Storage and Retrievalen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectText processing (Computer science). ;en_US
dc.subjectComputer Scienceen_US
dc.subjectInformation Storage and Retrieval. ;en_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectDocument Preparation and Text Processing. ;en_US
dc.subjectInformation Systems Applicationsen_US
dc.subject.ddc025.04 ; 23 ;en_US
dc.titleText Processingen_US
dc.title.alternativeFIRE 2016 International Workshop, Kolkata, India, December 7ee10, 2016, Revised Selected Papers /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319736051.pdf13.85 MBAdobe PDFThumbnail
Preview File