Abstract is missing.
- Preface [doi]
- PAN at FIRE: Overview of the PR-SOCO Track on Personality Recognition in SOurce COdeFrancisco M. Rangel Pardo, Fabio A. González, Felipe Restrepo-Calle, Manuel Montes-y-Gómez, Paolo Rosso. 1-15 [doi]
- Personality Recognition in Source Code Working Note: Team BESUMichShanta Phani, Shibamouli Lahiri, Arindam Biswas. 16-20 [doi]
- CAPS-PRC: A System for Personality Recognition in Programming CodeIvan Bilan, Eduard Saller, Benjamin Roth, Mariia Krytchak. 21-24 [doi]
- Personality Recognition Applying Machine Learning Techniques on Source Code MetricsHugo A. Castellanos. 25-29 [doi]
- A Supervised Approach for Personality Recognition in Source Code using Code Analysis Tool at FIRE 2016Rehana Delair, Rutal Mahajan. 30-32 [doi]
- Shallow Recurrent Neural Network for Personality Recognition in Source CodeYerai Doval, Carlos Gómez-Rodríguez, Jesús Vilares. 33-37 [doi]
- PRHLT at PR-SOCO: A Regression Model for Predicting Personality Traits from Source CodeMaite Giménez, Roberto Paredes. 38-42 [doi]
- Pisco: A Computational Approach to Predict Personality Types from Java Source CodeMatthias Liebeck, Pashutan Modaresi, Alexander Askinadze, Stefan Conrad 0001. 43-47 [doi]
- Indian Statistical Institute Kolkata at PR-SOCO 2016: A Simple Linear Regression Based ApproachKripabandhu Ghosh, Swapan Kumar Parui. 48-51 [doi]
- UAEMex System for Identifying Personality Traits from Source CodeEder 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. 52-55 [doi]
- Overview of the FIRE 2016 Microblog track: Information Extraction from Microblogs Posted during DisastersSaptarshi Ghosh, Kripabandhu Ghosh. 56-61 [doi]
- Using WordNet for Query Expansion: ADAPT @ FIRE 2016 Microblog TrackWei Li 0054, Debasis Ganguly, Gareth J. F. Jones. 62-65 [doi]
- Correlation Distance based Information Extraction System at FIRE 2016 Microblog TrackSaptarashmi Bandyopadhyay. 66-70 [doi]
- Word Embeddings for Information Extraction from TweetsSurajit Dasgupta, Abhash Kumar, Dipankar Das, Sudip Kumar Naskar, Sivaji Bandyopadhyay. 71-73 [doi]
- IIT BHU at FIRE 2016 Microblog Track: A Semi-automatic Microblog Retrieval SystemRibhav Soni, Sukomal Pal. 74-75 [doi]
- Using Relevancer to Detect Relevant Tweets: The Nepal Earthquake CaseAli Hürriyetoglu, Antal van den Bosch, Nelleke Oostdijk. 76-78 [doi]
- Real Time Information Extraction from MicroblogSandip Modha, Chintak Mandalia, Krati Agrawal, Deepali Verma, Prasenjit Majumder. 79-80 [doi]
- An Information Retrieval System for FIRE 2016 Microblog TrackTrishnendu Ghorai. 81-83 [doi]
- Information Extraction from MicroblogsPrashant Bhardwaj, Partha Pakray. 84-86 [doi]
- Information Retrieval from Microblogs during Natural DisastersRoshni Chakraborty, Maitry Bhavsar. 87-90 [doi]
- Semi-automatic keyword based approach for FIRE 2016 Microblog TrackGanchimeg Lkhagvasuren, Teresa Gonçalves, José Saias. 91-93 [doi]
- Overview of the Mixed Script Information Retrieval (MSIR) at FIRE-2016Somnath Banerjee, Kunal Chakma, Sudip Kumar Naskar, Amitava Das, Paolo Rosso, Sivaji Bandyopadhyay, Monojit Choudhury. 94-99 [doi]
- NLP-NITMZ @ MSIR 2016 System for Code-Mixed Cross-Script Question ClassificationGoutam Majumder, Partha Pakray. 100-104 [doi]
- Exploiting Named Entity Mentions Towards Code Mixed IR : Working Notes for the UB system submission for MSIR@FIRE-2016Nikhil Londhe, Rohini K. Srihari. 105-108 [doi]
- Modeling Classifier for Code Mixed Cross Script QuestionsRupal Bhargava, Shubham Khandelwal, Akshit Bhatia, Yashvardhan Sharma. 109-114 [doi]
- Code Mixed Cross Script Question ClassificationAnuj Saini. 115-118 [doi]
- Ensemble Classifier based approach for Code-Mixed Cross-Script Question ClassificationDebjyoti Bhattacharjee, Paheli Bhattacharya. 119-121 [doi]
- Amrita-CEN@MSIR-FIRE2016: Code-Mixed Question Classification using BoWs and RNN EmbeddingsAnand Kumar M, Soman K. P. 122-125 [doi]
- Distributional Semantic Representation for Text Classification and Information RetrievalBarathi Ganesh H. B., M. Anand Kumar, Soman K. P. 126-130 [doi]
- CEN@Amrita: Information Retrieval on CodeMixed Hindi-English Tweets Using Vector Space ModelsShivkaran Singh, Anand Kumar M, Soman K. P. 131-134 [doi]
- Algorithms and Corpora for Persian Plagiarism Detection: Overview of PAN at FIRE 2016Habibollah Asghari, Salar Mohtaj, Omid Fatemi, Heshaam Faili, Paolo Rosso, Martin Potthast. 135-144 [doi]
- A Pairwise Document Analysis Approach for Monolingual Plagiarism DetectionNava Ehsan, Azadeh Shakery. 145-148 [doi]
- A Plagiarism Detection Approach Based on SVM for Persian TextsFezeh Esteki, Faramarz Safi Esfahani. 149-153 [doi]
- A Deep Learning Approach to Persian Plagiarism DetectionErfaneh Gharavi, Kayvan Bijari, Kiarash Zahirnia, Hadi Veisi. 154-159 [doi]
- From English to Persian: Conversion of Text Alignment for Plagiarism DetectionLee Gillam, Anna Vartapetiance. 160-162 [doi]
- Persian Plagiarism Detection Using Sentence CorrelationsMuharram Mansoorizadeh, Taher Rahgooy. 163-166 [doi]
- A Text Alignment Algorithm Based on Prediction of Obfuscation Types Using SVM Neural NetworkFatemeh Mashhadirajab, Mehrnoush Shamsfard. 167-171 [doi]
- An n-gram based Method for nearly Copy Detection in Plagiarism SystemsBehrouz Minaei, Mahdi Niknam. 172-175 [doi]
- Graph-based Approach to Text Alignment for Plagiarism Detection in Persian DocumentsMozhgan Momtaz, Kayvan Bijari, Mostafa Salehi, Hadi Veisi. 176-179 [doi]
- Plagiarism Detection Based on a Novel Trie-based ApproachAlireza Talebpour, Mohammad Shirzadi Laskoukelayeh, Zahra Aminolroaya. 180-183 [doi]
- A Text Alignment Corpus for Persian Plagiarism DetectionFatemeh Mashhadirajab, Mehrnoush Shamsfard, Razieh Adelkhah, Fatemeh Shafiee, Chakaveh Saedi. 184-189 [doi]
- Mahak Samim: A Corpus of Persian Academic Texts for Evaluating Plagiarism Detection SystemsMorteza Rezaei Sharifabadi, Seyed Ahmad Eftekhari. 190-192 [doi]
- CHIS@FIRE: Overview of the Shared Task on Consumer Health Information SearchManjira Sinha, Sandya Mannarswamy, Shourya Roy. 193-196 [doi]
- AMRITA _CEN@FIRE 2016: Consumer Health Information Search using Keyword and Word Embedding FeaturesVeena P. V, Remmiya Devi G, Anand Kumar M, Soman K. P. 197-200 [doi]
- Distributional Semantic Representation in Health Care Text ClassificationBarathi Ganesh H. B., Anand Kumar M, Soman K. P. 201-204 [doi]
- Relevance and Support calculation for Health informationS. Suresh Kumar, L. Naveen. 205-207 [doi]
- JU_KS_Group@FIRE 2016: Consumer Health Information SearchKamal Sarkar, Debanjan Das, Indra Banerjee, Mamta Kumari, Prasenjit Biswas. 208-213 [doi]
- Relevance Detection and Argumentation Mining in Medical DomainVijayasaradhi Indurthi, Subba Reddy Oota. 214-216 [doi]
- Consumer Health Information SystemRaksha Sanjay Jalan, Pattisapu Nikhil Priyatam, Vasudeva Varma. 217-220 [doi]
- Decision Tree Approach for Consumer Health Information SearchD. Thenmozhi, P. Mirunalini, Chandrabose Aravindan. 221-225 [doi]
- Team DA_IICT at Consumer Health Information Search @FIRE2016Jainisha Sankhavara. 226-227 [doi]
- Improving Understandability in Consumer Health Information Search: UEVORA @ 2016 FIRE CHISHua Yang, Teresa Gonçalves. 228-232 [doi]
- DPIL@FIRE2016: Overview of the Shared task on Detecting Paraphrases in Indian languageAnand Kumar M, Shivkaran Singh, Kavirajan B, Soman K. P. 233-238 [doi]
- BITS_PILANI@DPIL-FIRE2016: Paraphrase Detection in Hindi Language using Syntactic Features of PhraseRupal Bhargava, Anushka Baoni, Harshit Jain, Yashvardhan Sharma. 239-243 [doi]
- ASE@DPIL-FIRE2016: Hindi Paraphrase Detection using Natural Language Processing Techniques & Semantic Similarity ComputationsVani K., Deepa Gupta. 244-249 [doi]
- KS_JU@DPIL-FIRE2016: Detecting Paraphrases in Indian Languages Using Multinomial Logistic Regression ModelKamal Sarkar. 250-255 [doi]
- NLP-NITMZ@DPIL-FIRE2016: Language Independent Paraphrases DetectionSandip Sarkar, Saurav Saha, Jereemi Bentham, Partha Pakray, Dipankar Das, Alexander F. Gelbukh. 256-259 [doi]
- HIT2016@DPIL-FIRE2016: Detecting Paraphrases in Indian Languages based on Gradient Tree BoostingLeilei Kong, Kaisheng Chen, Liuyang Tian, Zhenyuan Hao, Zhongyuan Han, Haoliang Qi. 260-265 [doi]
- CUSAT_NLP@DPIL-FIRE2016: Malayalam Paraphrase DetectionSindhu L, Sumam Mary Idicula. 266-269 [doi]
- Anuj@DPIL-FIRE2016: A Novel Paraphrase Detection Method in Hindi Language using Machine LearningAnuj Saini. 270-274 [doi]
- JU_NLP@DPIL-FIRE2016: Paraphrase Detection in Indian Languages - A Machine Learning ApproachTanik Saikh, Sudip Kumar Naskar, Sivaji Bandyopadhyay. 275-278 [doi]
- CUSAT_TEAM@ DPIL-FIRE2016: Detecting Paraphrase in Indian Languages-MalayalamK. Manju, Sumam Mary Idicula. 279-281 [doi]
- KEC@DPIL-FIRE2016: Detection of Paraphrases in Indian Languages (Tamil)R. Thangarajan, S. V. Kogilavani, A. Karthic, S. Jawahar. 282-288 [doi]
- CMEE-IL: Code Mix Entity Extraction in Indian Languages from Social Media Text @ FIRE 2016 - An OverviewPattabhi R. K. Rao, Sobha Lalitha Devi. 289-295 [doi]
- Code Mixed Entity Extraction in Indian Languages using Neural NetworksIrshad Ahmad Bhat, Manish Shrivastava, Riyaz Ahmad Bhat. 296-297 [doi]
- A Hybrid Approach for Entity Extraction in Code-Mixed Social Media DataDeepak Kumar Gupta, Shweta, Shubham Tripathi, Asif Ekbal, Pushpak Bhattacharyya. 298-303 [doi]
- AMRITA_CEN@FIRE 2016: Code-Mix Entity Extraction for Hindi-English and Tamil-English TweetsRemmiya Devi G, Veena P. V, Anand Kumar M, Soman K. P. 304-308 [doi]
- Conditional Random Fields for Code Mixed Entity RecognitionBarathi Ganesh H. B., M. Anand Kumar, Soman K. P. 309-312 [doi]
- Named Entity Recognition for Code Mixing in Indian Languages using Hybrid ApproachRupal Bhargava, Bapiraju Vamsi Tadikonda, Yashvardhan Sharma. 313-317 [doi]
- A Deep Learning Approach towards Cross-Lingual Tweet TaggingNikhil Bharadwaj Gosala, Shalini Chaudhuri, Monica Adusumilli, Kartik Sethi. 318-320 [doi]
- CEN@Amrita FIRE 2016: Context based Character Embeddings for Entity Extraction in Code-Mixed TextSrinidhi Skanda V, Shivkaran Singh, Remmiya Devi G, Veena P. V, Anand Kumar M, Soman K. P. 321-324 [doi]