FIRE 2016
FIRE 2016 Working Notes

Table of Contents

• Preface
  Prasenjit Majumder, Mandar Mitra, Parth Mehta, Jainisha Sankhavara, Kripabandhu Ghosh

Personality Recognition in SOurce COde (PR-SOCO)

• PAN at FIRE: Overview of the PR-SOCO Track on Personality Recognition in SOurce COde 1-15
  Francisco Rangel, Fabio A. González, Felipe Restrepo-Calle, Manuel Montes, Paolo Rosso
• Personality Recognition in Source Code Working Note: Team BESUMich 16-20
  Shanta Phani, Shibamouli Lahiri, Arindam Biswas
• CAPS-PRC: A System for Personality Recognition in Programming Code 21-24
  Ivan Bilan, Eduard Saller, Benjamin Roth, Mariia Krytchak
• Personality Recognition Applying Machine Learning Techniques on Source Code Metrics 25-29
  Hugo A. Castellanos
• A Supervised Approach for Personality Recognition in Source Code using Code Analysis Tool at FIRE 2016 30-32
  Rehana Delair, Rutal Mahajan
• Shallow Recurrent Neural Network for Personality Recognition in Source Code 33-37
  Yerai Doval, Carlos Gómez-Rodríguez, Jesús Vilares
• PRHLT at PR-SOCO: A Regression Model for Predicting Personality Traits from Source Code 38-42
  Maite Giménez, Roberto Paredes
• Pisco: A Computational Approach to Predict Personality Types from Java Source Code 43-47
  Matthias Liebeck, Pashutan Modaresi, Alexander Askinadze, Stefan Conrad
• Indian Statistical Institute Kolkata at PR-SOCO 2016: A Simple Linear Regression Based Approach 48-51
  Kripabandhu Ghosh, Swapan Kumar Parui
• UAEMex System for Identifying Personality Traits from Source Code 52-55
  Eder Vázquez Vázquez, Omar González Brito, Jovani A. García, Miguel García Calderón, Gabriela Villada Ramírez, Alan J. Serrano León, René A. García-Hernández, Yulia Ledeneva

Information Extraction from Microblogs Posted during Disasters

• Overview of the FIRE 2016 Microblog track: Information Extraction from Microblogs Posted during Disasters 56-61
  Saptarshi Ghosh, Kripabandhu Ghosh
• Using WordNet for Query Expansion: ADAPT @ FIRE 2016 Microblog Track 62-65
  Wei li, Debasis Ganguly, Gareth J. F. Jones
• Correlation Distance based Information Extraction System at FIRE 2016 Microblog Track 66-70
  Saptarashmi Bandyopadhyay
• Word Embeddings for Information Extraction from Tweets 71-73
  Surajit Dasgupta, Abhash Kumar, Dipankar Das, Sudip Kumar Naskar, Sivaji Bandyopadhyay
• IIT BHU at FIRE 2016 Microblog Track: A Semi-automatic Microblog Retrieval System 74-75
  Ribhav Soni, Sukomal Pal
• Using Relevancer to Detect Relevant Tweets: The Nepal Earthquake Case 76-78
  Ali Hürriyetoğlu, Antal van den Bosch, Nelleke Oostdijk
• Real Time Information Extraction from Microblog 79-80
  Sandip Modha, Chintak Mandalia, Krati Agrawal, Deepali Verma, Prasenjit Majumder
• An Information Retrieval System for FIRE 2016 Microblog Track 81-83
  Trishnendu Ghorai
• Information Extraction from Microblogs 84-86
  Prashant Bhardwaj, Partha Pakray
• Information Retrieval from Microblogs during Natural Disasters 87-90
  Roshni Chakraborty, Maitry Bhavsar
• Semi-automatic keyword based approach for FIRE 2016 Microblog Track 91-93
  Ganchimeg Lkhagvasuren, Teresa Gonçalves, José Saias

Shared Task on Mixed Script Information Retrieval (MSIR)

• Overview of the Mixed Script Information Retrieval (MSIR) at FIRE-2016 94-99
  Somnath Banerjee, Kunal Chakma, Sudip Kumar Naskar, Amitava Das, Paolo Rosso, Sivaji Bandyopadhyay, Monojit Choudhury
• NLP-NITMZ @ MSIR 2016 System for Code-Mixed Cross-Script Question Classification 100-104
  Goutam Majumder, Partha Pakray
• Exploiting Named Entity Mentions Towards Code Mixed IR : Working Notes for the UB system submission for MSIR@FIRE-2016 105-108
  Nikhil Londhe, Rohini K. Srihari
• Modeling Classifier for Code Mixed Cross Script Questions 109-114
  Rupal Bhargava, Shubham Khandelwal, Akshit Bhatia, Yashvardhan Sharma
• Code Mixed Cross Script Question Classification 115-118
  Anuj Saini
• Ensemble Classifier based approach for Code-Mixed Cross-Script Question Classification 119-121
  Debjyoti Bhattacharjee, Paheli Bhattacharya
• Amrita-CEN@MSIR-FIRE2016:Code-Mixed Question Classification using BoWs and RNN Embeddings 122-125
  Anand Kumar M, Soman K P
• Distributional Semantic Representation for Text Classification and Information Retrieval 126-130
  Barathi Ganesh HB, Anand Kumar M, Soman K P
• CEN@Amrita: Information Retrieval on CodeMixed Hindi-English Tweets Using Vector Space Models 131-134
  Shivkaran Singh, Anand Kumar M, Soman K P

Persian Plagiarism Detection (PersianPlagDet)

• Algorithms and Corpora for Persian Plagiarism Detection: Overview of PAN at FIRE 2016 135-144
  Habibollah Asghari, Salar Mohtaj, Omid Fatemi, Heshaam Faili, Paolo Rosso, Martin Potthast
• A Pairwise Document Analysis Approach for Monolingual Plagiarism Detection 145-148
  Nava Ehsan, Azadeh Shakery
• A Plagiarism Detection Approach Based on SVM for Persian Texts 149-153
  Fezeh Esteki, Faramarz Safi Esfahani
• A Deep Learning Approach to Persian Plagiarism Detection 154-159
  Erfaneh Gharavi, Kayvan Bijari, Kiarash Zahirnia, Hadi Veisi
• From English to Persian: Conversion of Text Alignment for Plagiarism Detection 160-162
  Lee Gillam, Anna Vartapetiance
• Persian Plagiarism Detection Using Sentence Correlations 163-166
  Muharram Mansoorizadeh, Taher Rahgooy
• A Text Alignment Algorithm Based on Prediction of Obfuscation Types Using SVM Neural Network 167-171
  Fatemeh Mashhadirajab, Mehrnoush Shamsfard
• An n-gram based Method for nearly Copy Detection in Plagiarism Systems 172-175
  Behrouz Minaei, Mahdi Niknam
• Graph-based Approach to Text Alignment for Plagiarism Detection in Persian Documents 176-179
  Mozhgan Momtaz, Kayvan Bijari, Mostafa Salehi, Hadi Veisi
• Plagiarism Detection Based on a Novel Trie-based Approach 180-183
  Alireza Talebpour, Mohammad Shirzadi Laskoukelayeh, Zahra Aminolroaya
• A Text Alignment Corpus for Persian Plagiarism Detection 184-189
  Fatemeh Mashhadirajab, Mehrnoush Shamsfard, Razieh Adelkhah, Fatemeh Shafiee, Chakaveh Saedi
• Mahak Samim: A Corpus of Persian Academic Texts for Evaluating Plagiarism Detection Systems 190-192
  Morteza Rezaei Sharifabadi, Seyed Ahmad Eftekhari

Consumer Health Information Search (CHIS)

• CHIS@FIRE: Overview of the Shared Task on Consumer Health Information Search 193-196
  Manjira Sinha, Sandya Mannarswamy, Shourya Roy
• AMRITA _CEN@FIRE 2016: Consumer Health Information Search using Keyword and Word Embedding Features 197-200
  Veena P V, Remmiya Devi G, Anand Kumar M, Soman K P
• Distributional Semantic Representation in Health Care Text Classification 201-204
  Barathi Ganesh HB, Anand Kumar M, Soman K P
• Relevance and Support calculation for Health information 205-207
  S. Suresh Kumar, L Naveen
• JU_KS_Group@FIRE 2016: Consumer Health Information Search 208-213
  Kamal Sarkar, Debanjan Das, Indra Banerjee, Mamta Kumari, Prasenjit Biswas
• Relevance Detection and Argumentation Mining in Medical Domain 214-216
  Vijayasaradhi Indurthi, Subba Reddy Oota
• Consumer Health Information System 217-220
  Raksha Sanjay Jalan, Pattisapu Nikhil Priyatam, Vasudeva Varma
• Decision Tree Approach for Consumer Health Information Search 221-225
  D. Thenmozhi, P. Mirunalini, Chandrabose Aravindan
• Team DA_IICT at Consumer Health Information Search @FIRE2016 226-227
  Jainisha Sankhavara
• Improving Understandability in Consumer Health Information Search: UEVORA @ 2016 FIRE CHIS 228-232
  Hua Yang, Teresa Gonçalves

Detecting Paraphrases in Indian Languages (DPIL)

• DPIL@FIRE2016: Overview of the Shared task on Detecting Paraphrases in Indian language 233-238
  Anand Kumar M, Shivkaran Singh, Kavirajan B, Soman K P
• BITS_PILANI@DPIL-FIRE2016:Paraphrase Detection in Hindi Language using Syntactic Features of Phrase 239-243
  Rupal Bhargava, Anushka Baoni, Harshit Jain, Yashvardhan Sharma
• ASE@DPIL-FIRE2016: Hindi Paraphrase Detection using Natural Language Processing Techniques & Semantic Similarity Computations 244-249
  Vani K, Deepa Gupta
• KS_JU@DPIL-FIRE2016: Detecting Paraphrases in Indian Languages Using Multinomial Logistic Regression Model 250-255
  Kamal Sarkar
• NLP-NITMZ@DPIL-FIRE2016: Language Independent Paraphrases Detection 256-259
  Sandip Sarkar, Saurav Saha, Jereemi Bentham, Partha Pakray, Dipankar Das, Alexander Gelbukh
• HIT2016@DPIL-FIRE2016: Detecting Paraphrases in Indian Languages based on Gradient Tree Boosting 260-265
  Leilei Kong, Kaisheng Chen, Liuyang Tian, Zhenyuan Hao, Zhongyuan Han, Haoliang Qi
• CUSAT_NLP@DPIL-FIRE2016: Malayalam Paraphrase Detection 266-269
  Sindhu L, Sumam Mary Idicula
• Anuj@DPIL-FIRE2016: A Novel Paraphrase Detection Method in Hindi Language using Machine Learning 270-274
  Anuj Saini
• JU_NLP@DPIL-FIRE2016: Paraphrase Detection in Indian Languages - A Machine Learning Approach 275-278
  Tanik Saikh, Sudip Kumar Naskar, Sivaji Bandyopadhyay
• CUSAT_TEAM@ DPIL-FIRE2016: Detecting Paraphrase in Indian Languages-Malayalam. 279-281
  Manju K, Sumam Mary Idicula
• KEC@DPIL-FIRE2016:Detection of Paraphrases in Indian Languages (Tamil) 282-288
  R.Thangarajan, S.V.Kogilavani, A.Karthic, S.Jawahar

Shared Task on Code Mix Entity Extraction in Indian Languages (CMEE-IL)

• CMEE-IL: Code Mix Entity Extraction in Indian Languages from Social Media Text @ FIRE 2016 – An Overview 289-295
  Pattabhi RK Rao, Sobha Lalitha Devi
• Code Mixed Entity Extraction in Indian Languages using Neural Networks 296-297
  Irshad Ahmad Bhat, Manish Shrivastava, Riyaz Ahmad Bhat
• A Hybrid Approach for Entity Extraction in Code-Mixed Social Media Data 298-303
  Deepak Gupta, Shweta, Shubham Tripathi, Asif Ekbal, Pushpak Bhattacharyya
• AMRITA_CEN@FIRE 2016: Code-Mix Entity Extraction for Hindi-English and Tamil-English Tweets 304-308
  Remmiya Devi G, Veena P V, Anand Kumar M, Soman K P
• Conditional Random Fields for Code Mixed Entity Recognition 309-312
  Barathi Ganesh HB, Anand Kumar M, Soman K P
• Named Entity Recognition for Code Mixing in Indian Languages using Hybrid Approach 313-317
  Rupal Bhargava, Bapiraju Vamsi Tadikonda, Yashvardhan Sharma
• A Deep Learning Approach towards Cross-Lingual Tweet Tagging 318-320
  Nikhil Bharadwaj Gosala, Shalini Chaudhuri, Monica Adusumilli, Kartik Sethi
• CEN@Amrita FIRE 2016: Context based Character Embeddings for Entity Extraction in Code-Mixed Text 321-324
  Srinidhi Skanda V, Shivkaran Singh, Remmiya Devi G, Veena P V, Anand Kumar M, Soman K P