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Working Notes and Slides

  • Overview of Forum for Information Retrieval Evaluation ( FIRE ) 2013
    Prasenjit Majumder
    DA-IICT, Gandhinagar, Gujarat
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  • Keynote Speech
    Douglas W. Oard
    University of Maryland, College Park, MD USA
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Cross-Language !ndian News Story Search (CL!NSS)

  1. PAN@FIRE 2013: Overview of the Cross-Language !ndian News Story Search (CL!NSS) Track
    Parth Gupta1, Paul Clough2, Paolo Rosso1, Mark Stevenson2, Rafael E. Banchs3
    1NLE Lab, Universitat Politècnica de València, Spain
    2University of Sheffield, UK
    3Institute for Infocomm Research, Singapore
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  2. DCU at FIRE 2013: Cross-Language !ndian News Story Search
    Piyush Arora, Jennifer Foster, Gareth J. F. Jones
    CNGL Centre for Global Intelligent Content School of Computing, Dublin City University Glasnevin, Dublin 9, Ireland
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  3. Performance Evaluation of Dictionary Based CLIR Strategies for Cross Language News Story Search
    Sujoy Das, Aarti Kumar
    Department of Computer Applications, MANIT, Bhopal
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  4. Pre-Retrieval based Strategies for Cross Language News Story Search
    Aarti Kumar, Sujoy Das
    Department of Computer Applications, MANIT, Bhopal
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  5. Set-based Similarity Measurement and Ranking Model to Identify Cases of Journalistic Text Reuse.
    Arpan Pal, Lee Gillam
    Department of Computing University of Surrey United Kingdom
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  6. Leveraging Article Titles for Cross-lingual Linking of Focal News Events
    Goutham Tholpadi, Amogh Param
    Computer Science and Automation, Indian Institute of Science, Bangalore, India
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  7. Linking English and Hindi news by IDF, Reference Monotony and Extended Contextual N-grams IR Engine Worknotes for PAN @ CL!NSS 2013
    Diego Antonio Rodríguez Torrejón, José Manuel Martín Ramos
    Universidad de Huelva
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FAQ retrieval using Noisy Queries

  1. FAQ Retrieval using Noisy Queries at FIRE 2013
    Danish Contractor, Deepak P, L Venkata Subramaniam, Nitendra Rajput
    IBM Research India
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  2. FAQ Retrieval using Noisy Queries : English Monolingual Sub-task
    Shahbaaz Mhaisale1, Sangameshwar Patil2, Kiran Mahamuni2, Kiranjot Dhillon3, Karan Parashar3
    1Delhi Technological University, Delhi, India
    2Tata Consultancy Services, Pune, India
    3Bharati Vidyapeeth College of Engineering, Pune, India
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  3. Working Note – FIRE 2013 Improving Accuracy of SMS based FAQ retrieval
    Anwar Shaikh1, Rajiv Ratn Shah2, Rahis Shaikh3
    1Delhi Technological University, Delhi
    2National University of Singapore, Singapore
    3Vellore Institute of Technology, Vellore
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  4. Working Note – FIRE 2013 FAQ retrieval using noisy queries
    Divyesh Sanjay Kothari, Abhinav Saraswat, Anjaney Pandey, Sarang Kapoor, Sukomal Pal
    ISM DHANBAD
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  5. ISM at FIRE 2013 FAQ Retrieval
    Vikas Kumar Joshi, Ramprasad Meena
    Indian School of Mines, Dhanbad
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  6. Noisy FAQ Retrieval Using Longest Common Subsequence Problem
    Pooja Porwal, Aman Jain
    Indian School of Mines, Dhanbad
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  7. Retrieval of FAQs based on SMS-input through phonetic equivalence
    Akhil Lohchab, Amanpreet Singh, Ashish Mahajan, Ritu Agarwal
    Delhi Technological University
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  8. SMS based FAQ Retrieval using Theme Matching Scheme
    Deba P. Mandal and Saptaditya Maiti
    Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India
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Information access in the legal domain

  1. Overview of Information Access in Legal Domain FIRE 2013
    Madhulika Agrawal1, Parth Mehta1, Kripabandhu Ghosh2
    1DA-IICT, Gandhinagar - 382007, Gujarat, India.
    2CVPR Unit, Indian Statistical Institute, Kolkata, India
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  2. TRDDC @ FIRE 2013: System for Classification of Legal Propositions Report for Legal Track at FIRE 2013
    Nitin Ramrakhiyani and Sachin Pawar
    Tata Research Development and Design Centre (TRDDC), Tata Consultancy Services Ltd., Pune
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  3. Information Retrieval Based on Extraction of Domain Specific Significant Keywords and Other Relevant Phrases from a Conceptual Semantic Network Structure
    Mohammad Moinul Hoque, Prakash Poudyal, Teresa Goncalves, Paulo Quaresma
    University of Evora, Portugal
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  4. ISM@FIRE-2013 Information Access in The Legal Domain Task
    Ambedkar Kanapala, Sukomal Pal
    Dept. of CSE, Indian School of Mines, Dhanbad, India.
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Morpheme Extraction Task (MET)

  1. Morpheme Extraction Task at FIRE 2013
    Rashmi Sankepally1, Komal Agarwal2, Prasenjit Majumder2
    1University of Maryland, MD, USA
    2DA-IICT, Gandhinagar, Gujarat
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  2. Hindi Stemmer @FIRE-2013
    Anubha Jain, Sujoy Das
    Department of Computer Applications, MANIT, Bhopal
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  3. ISM@FIRE-2013 Morpheme Extraction Task
    Amit Jain, Nitish Gupta, Sukomal Pal
    Dept. of CSE, Indian School of Mines, Dhanbad, India.
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  4. Morpheme Extraction in Tamil using Finite State Machines (FIRE-2013 - Morpheme Extraction Task)
    Sobha Lalitha Devi, Marimuthu K, Vijay Sundar Ram R, Bakiyavathi T, Amudha K
    AU-KBC Research Centre, MIT Campus of Anna University, Chromepet, Chennai, India
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NER - Named-Entity Recognition Indian Languages

  1. NERIL: Named Entity Recognition for Indian Languages @ FIRE 2013
    Pattabhi, R.K Rao, Sobha, Lalitha Devi
    Computational Linguistics Research Group, AU-KBC Research Centre, Chennai, India
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  2. Named-Entity Recognition in Bengali @FIRE NER 2013
    Apurbalal Senapati, Arjun Das, Utpal Garain
    CVPR Unit, Indian Statistical Institute
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  3. MNIT-FIRE-NER-HINDI Report for NER Track at FIRE 2013
    Lokesh Kumar Sharma, Dr. Namita Mittal
    MNIT Jaipur
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  4. ISM@FIRE -2013 Named-Entity Recognition (NER) Indian Languages Task
    Dinesh Kumar Prabhakar, Gopashree Panda, Sukomal Pal
    Department of Computer Science and Engineering, Indian School of Mines, Dhanbad, Jharkhand, India
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  5. Hindi Named Entity Recognizer for NER task of FIRE 2013
    Rahul Sharnagat, Pushpak Bhattacharyya
    IIT Bombay, Mumbai, India
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  6. TRDDC @ FIRE 2013: System for NER in Indian Languages Report for NER Track at FIRE 2013
    Nitin Ramrakhiyani, Sachin Pawar
    Tata Research Development and Design Centre, Tata Consultancy Services Ltd., Pune
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Question Answering for the Spoken Web (QASW)

  1. The FIRE 2013 Question Answering for the Spoken Web Task
    Douglas W. Oard1, Jerome White2, Jiaul Paik1, Rashmi Sankepally1, Aren Jansen3
    1University of Maryland, College Park, MD USA
    2IBM India Research Lab, Bangalore, India
    3Johns Hopkins HLTCOE, Baltimore, MD USA
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Shared Task on Transliterated Search

  1. Overview and Datasets of FIRE 2013 Track on Transliterated Search
    Rishiraj Saha Roy1, Monojit Choudhury2, Prasenjit Majumder3, Komal Agarwal3
    1Indian Institute of Technology Kharagpur, Kharagpur - 721302, West Bengal, India.
    2Microsoft Research India, Bangalore - 560001, Karnataka, India.
    3DA-IICT, Gandhinagar - 382007, Gujarat, India.
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  2. Query word labeling and Back Transliteration for Indian Languages: Shared task system description
    Spandana Gella, Jatin Sharma, Kalika Bali
    Microsoft Research India
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  3. Encoding transliteration variation through dimensionality reduction: FIRE Shared Task on Transliterated Search
    Parth Gupta1, Paolo Rosso1, and Rafael E. Banchs2
    1Natural Language Engineering Lab,Department of Information Systems and Computation, Universitat Polit`ecnica de Val`encia, Spain
    2Institute for Infocomm Research, Singapore
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  4. Transliterated Search using Syllabification Approach
    Hardik Joshi2, Apurva Bhatt2, Honey Patel2
    1Department of Computer Science, Gujarat University, Ahmedabad, India.
    2L.J. College of Engineering, Ahmedabad, India
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  5. Transliterated Search System for Indian Languages
    Partha Pakray1, Pinaki Bhaskar2
    1Computer & Information Science, Sem Sælandsvei 7-9, NO-7491, Trondheim, Norway
    2Computer Science & Engineering, Jadavpur University, Kolkata, India
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  6. ISM@FIRE­2013 shared task on Transliterated Search
    Dinesh Kumar Prabhakar, Sukomal Pal
    Indian School of Mines, Dhanbad, Jharkhand, India
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