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FIRE 2016: Kolkata, India - Working Notes
- Prasenjit Majumder, Mandar Mitra, Parth Mehta, Jainisha Sankhavara, Kripabandhu Ghosh:
Working notes of FIRE 2016 - Forum for Information Retrieval Evaluation, Kolkata, India, December 7-10, 2016. CEUR Workshop Proceedings 1737, CEUR-WS.org 2016 - Preface.
Personality Recognition in SOurce COde (PR-SOCO)
- Francisco M. Rangel Pardo, Fabio A. González, Felipe Restrepo-Calle, Manuel Montes-y-Gómez, Paolo Rosso:
PAN at FIRE: Overview of the PR-SOCO Track on Personality Recognition in SOurce COde. 1-15 - Shanta Phani, Shibamouli Lahiri, Arindam Biswas:
Personality Recognition in Source Code Working Note: Team BESUMich. 16-20 - Ivan Bilan, Eduard Saller, Benjamin Roth, Mariia Krytchak:
CAPS-PRC: A System for Personality Recognition in Programming Code. 21-24 - Hugo A. Castellanos:
Personality Recognition Applying Machine Learning Techniques on Source Code Metrics. 25-29 - Rehana Delair, Rutal Mahajan:
A Supervised Approach for Personality Recognition in Source Code using Code Analysis Tool at FIRE 2016. 30-32 - Yerai Doval, Carlos Gómez-Rodríguez, Jesús Vilares:
Shallow Recurrent Neural Network for Personality Recognition in Source Code. 33-37 - Maite Giménez, Roberto Paredes:
PRHLT at PR-SOCO: A Regression Model for Predicting Personality Traits from Source Code. 38-42 - Matthias Liebeck, Pashutan Modaresi, Alexander Askinadze, Stefan Conrad:
Pisco: A Computational Approach to Predict Personality Types from Java Source Code. 43-47 - Kripabandhu Ghosh, Swapan Kumar Parui:
Indian Statistical Institute Kolkata at PR-SOCO 2016: A Simple Linear Regression Based Approach. 48-51 - Eder Vázquez Vázquez, Omar González Brito, Jovani A. García, Miguel Ángel García Calderón, Gabriela Villada Ramírez, Alan J. Serrano León, René Arnulfo García-Hernández, Yulia Ledeneva:
UAEMex System for Identifying Personality Traits from Source Code. 52-55
Information Extraction from Microblogs Posted during Disasters
- Saptarshi Ghosh, Kripabandhu Ghosh:
Overview of the FIRE 2016 Microblog track: Information Extraction from Microblogs Posted during Disasters. 56-61 - Wei Li, Debasis Ganguly, Gareth J. F. Jones:
Using WordNet for Query Expansion: ADAPT @ FIRE 2016 Microblog Track. 62-65 - Saptarashmi Bandyopadhyay:
Correlation Distance based Information Extraction System at FIRE 2016 Microblog Track. 66-70 - Surajit Dasgupta, Abhash Kumar, Dipankar Das, Sudip Kumar Naskar, Sivaji Bandyopadhyay:
Word Embeddings for Information Extraction from Tweets. 71-73 - Ribhav Soni, Sukomal Pal:
IIT BHU at FIRE 2016 Microblog Track: A Semi-automatic Microblog Retrieval System. 74-75 - Ali Hürriyetoglu, Antal van den Bosch, Nelleke Oostdijk:
Using Relevancer to Detect Relevant Tweets: The Nepal Earthquake Case. 76-78 - Sandip Modha, Chintak Mandalia, Krati Agrawal, Deepali Verma, Prasenjit Majumder:
Real Time Information Extraction from Microblog. 79-80 - Trishnendu Ghorai:
An Information Retrieval System for FIRE 2016 Microblog Track. 81-83 - Prashant Bhardwaj, Partha Pakray:
Information Extraction from Microblogs. 84-86 - Roshni Chakraborty, Maitry Bhavsar:
Information Retrieval from Microblogs during Natural Disasters. 87-90 - Ganchimeg Lkhagvasuren, Teresa Gonçalves, José Saias:
Semi-automatic keyword based approach for FIRE 2016 Microblog Track. 91-93
Shared Task on Mixed Script Information Retrieval (MSIR)
- Somnath Banerjee, Kunal Chakma, Sudip Kumar Naskar, Amitava Das, Paolo Rosso, Sivaji Bandyopadhyay, Monojit Choudhury:
Overview of the Mixed Script Information Retrieval (MSIR) at FIRE-2016. 94-99 - Goutam Majumder, Partha Pakray:
NLP-NITMZ @ MSIR 2016 System for Code-Mixed Cross-Script Question Classification. 100-104 - Nikhil Londhe, Rohini K. Srihari:
Exploiting Named Entity Mentions Towards Code Mixed IR : Working Notes for the UB system submission for MSIR@FIRE-2016. 105-108 - Rupal Bhargava, Shubham Khandelwal, Akshit Bhatia, Yashvardhan Sharma:
Modeling Classifier for Code Mixed Cross Script Questions. 109-114 - Anuj Saini:
Code Mixed Cross Script Question Classification. 115-118 - Debjyoti Bhattacharjee, Paheli Bhattacharya:
Ensemble Classifier based approach for Code-Mixed Cross-Script Question Classification. 119-121 - M. Anand Kumar, Soman K. P:
Amrita-CEN@MSIR-FIRE2016: Code-Mixed Question Classification using BoWs and RNN Embeddings. 122-125 - Barathi Ganesh H. B., M. Anand Kumar, Soman K. P:
Distributional Semantic Representation for Text Classification and Information Retrieval. 126-130 - Shivkaran Singh, M. Anand Kumar, Soman K. P:
CEN@Amrita: Information Retrieval on CodeMixed Hindi-English Tweets Using Vector Space Models. 131-134
Persian Plagiarism Detection (PersianPlagDet)
- Habibollah Asghari, Salar Mohtaj, Omid Fatemi, Heshaam Faili, Paolo Rosso, Martin Potthast:
Algorithms and Corpora for Persian Plagiarism Detection: Overview of PAN at FIRE 2016. 135-144 - Nava Ehsan, Azadeh Shakery:
A Pairwise Document Analysis Approach for Monolingual Plagiarism Detection. 145-148 - Fezeh Esteki, Faramarz Safi Esfahani:
A Plagiarism Detection Approach Based on SVM for Persian Texts. 149-153 - Erfaneh Gharavi, Kayvan Bijari, Kiarash Zahirnia, Hadi Veisi:
A Deep Learning Approach to Persian Plagiarism Detection. 154-159 - Lee Gillam, Anna Vartapetiance:
From English to Persian: Conversion of Text Alignment for Plagiarism Detection. 160-162 - Muharram Mansoorizadeh, Taher Rahgooy:
Persian Plagiarism Detection Using Sentence Correlations. 163-166 - Fatemeh Mashhadirajab, Mehrnoush Shamsfard:
A Text Alignment Algorithm Based on Prediction of Obfuscation Types Using SVM Neural Network. 167-171 - Behrouz Minaei, Mahdi Niknam:
An n-gram based Method for nearly Copy Detection in Plagiarism Systems. 172-175 - Mozhgan Momtaz, Kayvan Bijari, Mostafa Salehi, Hadi Veisi:
Graph-based Approach to Text Alignment for Plagiarism Detection in Persian Documents. 176-179 - Alireza Talebpour, Mohammad Shirzadi Laskoukelayeh, Zahra Aminolroaya:
Plagiarism Detection Based on a Novel Trie-based Approach. 180-183 - Fatemeh Mashhadirajab, Mehrnoush Shamsfard, Razieh Adelkhah, Fatemeh Shafiee, Chakaveh Saedi:
A Text Alignment Corpus for Persian Plagiarism Detection. 184-189 - Morteza Rezaei Sharifabadi, Seyed Ahmad Eftekhari:
Mahak Samim: A Corpus of Persian Academic Texts for Evaluating Plagiarism Detection Systems. 190-192
Consumer Health Information Search (CHIS)
- Manjira Sinha, Sandya Mannarswamy, Shourya Roy:
CHIS@FIRE: Overview of the Shared Task on Consumer Health Information Search. 193-196 - Veena P. V, Remmiya Devi G, M. Anand Kumar, Soman K. P:
AMRITA _CEN@FIRE 2016: Consumer Health Information Search using Keyword and Word Embedding Features. 197-200 - Barathi Ganesh H. B., M. Anand Kumar, Soman K. P:
Distributional Semantic Representation in Health Care Text Classification. 201-204 - S. Suresh Kumar, L. Naveen:
Relevance and Support calculation for Health information. 205-207 - Kamal Sarkar, Debanjan Das, Indra Banerjee, Mamta Kumari, Prasenjit Biswas:
JU_KS_Group@FIRE 2016: Consumer Health Information Search. 208-213 - Vijayasaradhi Indurthi, Subba Reddy Oota:
Relevance Detection and Argumentation Mining in Medical Domain. 214-216 - Raksha Sanjay Jalan, Pattisapu Nikhil Priyatam, Vasudeva Varma:
Consumer Health Information System. 217-220 - D. Thenmozhi, Palaniappan Mirunalini, Chandrabose Aravindan:
Decision Tree Approach for Consumer Health Information Search. 221-225 - Jainisha Sankhavara:
Team DA_IICT at Consumer Health Information Search @FIRE2016. 226-227 - Hua Yang, Teresa Gonçalves:
Improving Understandability in Consumer Health Information Search: UEVORA @ 2016 FIRE CHIS. 228-232
Detecting Paraphrases in Indian Languages (DPIL)
- M. Anand Kumar, Shivkaran Singh, Kavirajan B, Soman K. P:
DPIL@FIRE2016: Overview of the Shared task on Detecting Paraphrases in Indian language. 233-238 - Rupal Bhargava, Anushka Baoni, Harshit Jain, Yashvardhan Sharma:
BITS_PILANI@DPIL-FIRE2016: Paraphrase Detection in Hindi Language using Syntactic Features of Phrase. 239-243 - Vani K., Deepa Gupta:
ASE@DPIL-FIRE2016: Hindi Paraphrase Detection using Natural Language Processing Techniques & Semantic Similarity Computations. 244-249 - Kamal Sarkar:
KS_JU@DPIL-FIRE2016: Detecting Paraphrases in Indian Languages Using Multinomial Logistic Regression Model. 250-255 - Sandip Sarkar, Saurav Saha, Jereemi Bentham, Partha Pakray, Dipankar Das, Alexander F. Gelbukh:
NLP-NITMZ@DPIL-FIRE2016: Language Independent Paraphrases Detection. 256-259 - Leilei Kong, Kaisheng Chen, Liuyang Tian, Zhenyuan Hao, Zhongyuan Han, Haoliang Qi:
HIT2016@DPIL-FIRE2016: Detecting Paraphrases in Indian Languages based on Gradient Tree Boosting. 260-265 - Sindhu L, Sumam Mary Idicula:
CUSAT_NLP@DPIL-FIRE2016: Malayalam Paraphrase Detection. 266-269 - Anuj Saini:
Anuj@DPIL-FIRE2016: A Novel Paraphrase Detection Method in Hindi Language using Machine Learning. 270-274 - Tanik Saikh, Sudip Kumar Naskar, Sivaji Bandyopadhyay:
JU_NLP@DPIL-FIRE2016: Paraphrase Detection in Indian Languages - A Machine Learning Approach. 275-278 - K. Manju, Sumam Mary Idicula:
CUSAT_TEAM@ DPIL-FIRE2016: Detecting Paraphrase in Indian Languages-Malayalam. 279-281 - R. Thangarajan, Shanmuga Vadivel Kogilavani, A. Karthic, S. Jawahar:
KEC@DPIL-FIRE2016: Detection of Paraphrases in Indian Languages (Tamil). 282-288
Shared Task on Code Mix Entity Extraction in Indian Languages (CMEE-IL)
- Pattabhi R. K. Rao, Sobha Lalitha Devi:
CMEE-IL: Code Mix Entity Extraction in Indian Languages from Social Media Text @ FIRE 2016 - An Overview. 289-295 - Irshad Ahmad Bhat, Manish Shrivastava, Riyaz Ahmad Bhat:
Code Mixed Entity Extraction in Indian Languages using Neural Networks. 296-297 - Deepak Kumar Gupta, Shweta, Shubham Tripathi, Asif Ekbal, Pushpak Bhattacharyya:
A Hybrid Approach for Entity Extraction in Code-Mixed Social Media Data. 298-303 - Remmiya Devi G, Veena P. V, M. Anand Kumar, Soman K. P:
AMRITA_CEN@FIRE 2016: Code-Mix Entity Extraction for Hindi-English and Tamil-English Tweets. 304-308 - Barathi Ganesh H. B., M. Anand Kumar, Soman K. P:
Conditional Random Fields for Code Mixed Entity Recognition. 309-312 - Rupal Bhargava, Bapiraju Vamsi Tadikonda, Yashvardhan Sharma:
Named Entity Recognition for Code Mixing in Indian Languages using Hybrid Approach. 313-317 - Nikhil Bharadwaj Gosala, Shalini Chaudhuri, Monica Adusumilli, Kartik Sethi:
A Deep Learning Approach towards Cross-Lingual Tweet Tagging. 318-320 - Srinidhi Skanda V, Shivkaran Singh, Remmiya Devi G, Veena P. V, M. Anand Kumar, Soman K. P:
CEN@Amrita FIRE 2016: Context based Character Embeddings for Entity Extraction in Code-Mixed Text. 321-324
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