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Text Processing : FIRE 2016 International Workshop, Kolkata, India, December 7-10, 2016, Revised Selected Papers / edited by Prasenjit Majumder, Mandar Mitra, Parth Mehta, Jainisha Sankhavara.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Majumder, Prasenjit, editor.
Mitra, Mandar, editor.
Mehta, Parth, editor.
Sankhavara, Jainisha, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 10478.
Information Systems and Applications, incl. Internet/Web, and HCI ; 10478
Language:
English
Subjects (All):
Information storage and retrieval.
Artificial intelligence.
Natural language processing (Computer science).
Application software.
Information Storage and Retrieval.
Artificial Intelligence.
Natural Language Processing (NLP).
Information Systems Applications (incl. Internet).
Local Subjects:
Information Storage and Retrieval.
Artificial Intelligence.
Natural Language Processing (NLP).
Information Systems Applications (incl. Internet).
Physical Description:
1 online resource (VIII, 219 pages) : 56 illustrations.
Edition:
First edition 2018.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2018.
System Details:
text file PDF
Summary:
This book constitutes the refereed post-conference proceedings of a Workshop focussing on Text Processing, held at the Forum for Information Retrieval Evaluation, FIRE 2016, in Kolkata, India, in December 2016. 16 full papers have been selected for inclusion in the book out of 19 submissions. The 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).
Contents:
PAN 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
Anuj@DPIL-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.
Other Format:
Printed edition:
ISBN:
978-3-319-73606-8
9783319736068
Access Restriction:
Restricted for use by site license.

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