dblp: FIRE Working Notes 2019 (original) (raw)

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FIRE 2019: Kolkata, India - Working Notes

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  • Artificial Intelligence for Legal Assistance (AILA)
  • Author profiling and deception detection in Arabic (APDA)
  • Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC)
  • Irony Detection in Arabic Tweets (IDAT)
  • Classification of Insincere Questions (CIQ)

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• 
  Parth Mehta, Paolo Rosso, Prasenjit Majumder, Mandar Mitra:
  Working Notes of FIRE 2019 - Forum for Information Retrieval Evaluation, Kolkata, India, December 12-15, 2019. CEUR Workshop Proceedings 2517, CEUR-WS.org 2019

Artificial Intelligence for Legal Assistance (AILA)

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  Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Parth Mehta, Arnab Bhattacharya, Prasenjit Majumder:
  Overview of the FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance. 1-12
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  Ravina More, Jay Patil, Abhishek Palaskar, Aditi Pawde:
  Removing Named Entities to Find Precedent Legal Cases. 13-18
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  Baban Gain, Dibyanayan Bandyopadhyay, Arkadipta De, Tanik Saikh, Asif Ekbal:
  IITP at AILA 2019: System Report for Artificial Intelligence for Legal Assistance Shared Task. 19-24
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  Sara Renjit, Sumam Mary Idicula:
  CUSAT NLP@AILA-FIRE2019: Similarity in Legal Texts using Document Level Embeddings. 25-30
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  Soumil Mandal, Sourya Dipta Das:
  Unsupervised Identification of Relevant Cases & Statutes Using Word Embeddings. 31-35
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  S. Kayalvizhi, D. Thenmozhi, Chandrabose Aravindan:
  Legal Assistance using Word Embeddings. 36-39
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  Zicheng Zhao, Hui Ning, Liang Liu, Chengzhe Huang, Leilei Kong, Yong Han, Zhongyuan Han:
  FIRE2019@AILA: Legal Information Retrieval Using Improved BM25. 40-45
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  Yunqiu Shao, Ziyi Ye:
  THUIR@AILA 2019: Information Retrieval Approaches for Identifying Relevant Precedents and Statutes. 46-51
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  Moemedi Lefoane, Tshepho Koboyatshwene, Goaletsa Rammidi, V. Lakshmi Narasimham:
  Legal Statutes Retrieval: A Comparative Approach on Performance of Title and Statutes Descriptive Text. 52-57
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  R. Ramesh Kannan, R. Rajalakshmi:
  DLRG@AILA 2019: Context - Aware Legal Assistance System. 58-63
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  Jiaming Gao, Hui Ning, Huilin Sun, Ruifeng Liu, Zhongyuan Han, Leilei Kong, Haoliang Qi:
  FIRE2019@AILA: Legal Retrieval Based on Information Retrieval Model. 64-69

Author profiling and deception detection in Arabic (APDA)

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  Francisco M. Rangel Pardo, Paolo Rosso, Anis Charfi, Wajdi Zaghouani, Bilal Ghanem, Javier Sánchez-Junquera:
  Overview of the Track on Author Profiling and Deception Detection in Arabic. 70-83
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  Chiyu Zhang, Muhammad Abdul-Mageed:
  BERT-Based Arabic Social Media Author Profiling. 84-91
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  Hamada A. Nayel:
  NAYEL@APDA: Machine Learning Approach for Author Profiling and Deception Detection in Arabic Texts. 92-99
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  Haritha Ananthakrishnan, Akshaya Ranganathan, D. Thenmozhi, Chandrabose Aravindan:
  Arabic Author Profiling and Deception Detection using Traditional Learning Methodologies with Word Embedding. 100-104
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  Yutong Sun, Hui Ning, Kaisheng Chen, Leilei Kong, Yunpeng Yang, Jiexi Wang, Haoliang Qi:
  Author Profiling in Arabic Tweets: An Approach based on Multi-Classification with Word and Character Features. 105-109
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  Jorge Cabrejas, Jose Vicente Martí, Antonio Pajares, Víctor Sanchis:
  Deception Detection in Arabic Texts Using N-grams Text Mining. 110-114
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  Al Hafiz Akbar Maulana Siagian, Masayoshi Aritsugi:
  DBMS-KU Approach for Author Profiling and Deception Detection in Arabic. 115-121
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  F. Javier Fernández-Bravo Peñuela:
  Deception Detection in Arabic Tweets and News. 122-126
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  Isabella Karabasz, Paolo Cellini, Gonzalo Galiana:
  Predicting Author Characteristics of Arabic Tweets through Author Profiling. 127-135
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  Sharmila Devi V, Kannimuthu S, Ravikumar G, Anand Kumar M:
  KCE DALab-APDA@FIRE2019: Author Profiling and Deception Detection in Arabic using Weighted Embedding. 136-143
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  Khaled Alrifai, Ghaida Rebdawi, Nada Ghneim:
  Arabic Tweeps Traits Prediction AT2P. 144-151
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  Francisco Eros Blázquez del Rio, Manuel Conde Rodríguez, Jose M. Escalante:
  Detection of deceptions in Twitter and News Headlines written in Arabic. 152-159
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  Chanchal Suman, Purushottam Kumar, Sriparna Saha, Pushpak Bhattacharyya:
  Gender Age and Dialect Recognition using Tweets in a Deep Learning Framework - Notebook for FIRE 2019. 160-166

Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC)

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  Sandip Modha, Thomas Mandl, Prasenjit Majumder, Daksh Patel:
  Overview of the HASOC track at FIRE 2019: Hate Speech and Offensive Content Identification in Indo-European Languages. 167-190
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  Bin Wang, Yunxia Ding, Shengyan Liu, Xiaobing Zhou:
  YNU_Wb at HASOC 2019: Ordered Neurons LSTM with Attention for Identifying Hate Speech and Offensive Language. 191-198
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  Tharindu Ranasinghe, Marcos Zampieri, Hansi Hettiarachchi:
  BRUMS at HASOC 2019: Deep Learning Models for Multilingual Hate Speech and Offensive Language Identification. 199-207
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  Shubhanshu Mishra, Sudhanshu Mishra:
  3Idiots at HASOC 2019: Fine-tuning Transformer Neural Networks for Hate Speech Identification in Indo-European Languages. 208-213
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  Victor Nina-Alcocer:
  Vito at HASOC 2019: Detecting Hate Speech and Offensive Content through Ensembles. 214-220
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  Zhibin Lu, Jian-Yun Nie:
  RALIGRAPH at HASOC 2019: VGCN-BERT: Augmenting BERT with Graph Embedding for Offensive Language Detection. 221-228
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  Arup Baruah, Ferdous Ahmed Barbhuiya, Kuntal Dey:
  IIITG-ADBU at HASOC 2019: Automated Hate Speech and Offensive Content Detection in English and Code-Mixed Hindi Text. 229-236
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  Md. Abul Bashar, Richi Nayak:
  QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language. 237-245
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  Punyajoy Saha, Binny Mathew, Pawan Goyal, Animesh Mukherjee:
  HateMonitors: Language Agnostic Abuse Detection in Social Media. 246-253
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  Aiqi Jiang:
  QMUL-NLP at HASOC 2019: Offensive Content Detection and Classification in Social Media. 254-262
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  Dana Ruiter, Md. Ataur Rahman, Dietrich Klakow:
  LSV-UdS at HASOC 2019: The Problem of Defining Hate. 263-270
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  Vandan Mujadia, Pruthwik Mishra, Dipti Misra Sharma:
  IIIT-Hyderabad at HASOC 2019: Hate Speech Detection. 271-278
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  Jean-Christophe Mensonides, Pierre-Antoine Jean, Andon Tchechmedjiev, Sébastien Harispe:
  IMT Mines Ales at HASOC 2019: Automatic Hate Speech Detection. 279-284
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  Ritesh Kumar, Atul Kr. Ojha:
  KMI-Panlingua at HASOC 2019: SVM vs BERT for Hate Speech and Offensive Content Detection. 285-292
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  Pedro Alonso, Rajkumar Saini, György Kovács:
  TheNorth at HASOC 2019: Hate Speech Detection in Social Media Data. 293-299
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  Marco Casavantes, Roberto López-Santillán, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez:
  UACh-INAOE at HASOC 2019: Detecting Aggressive Tweets by Incorporating Authors' Traits as Descriptors. 300-307
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  Anita Saroj, Rajesh Kumar Mundotiya, Sukomal Pal:
  IRLab@IITBHU at HASOC 2019: Traditional Machine Learning for Hate Speech and Offensive Content Identification. 308-314
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  Apurva Parikh, Harsh Desai, Abhimanyu Singh Bisht:
  DA Master at HASOC 2019: Identification of Hate Speech using Machine Learning and Deep Learning approaches for social media post. 315-319
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  Kaushik Amar Das, Ferdous Ahmed Barbhuiya:
  Team FalsePostive at HASOC 2019: Transfer-Learning for Detection and Classification of Hate Speech. 320-327
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  Kirti Kumari, Jyoti Prakash Singh:
  AI ML NIT Patna at HASOC 2019: Deep Learning Approach for Identification of Abusive Content. 328-335
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  Hamada A. Nayel, H. L. Shashirekha:
  DEEP at HASOC2019: A Machine Learning Framework for Hate Speech and Offensive Language Detection. 336-343
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  Akanksha Mishra, Sukomal Pal:
  IIT Varanasi at HASOC 2019: Hate Speech and Offensive Content Identification in Indo-European Languages. 344-351
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  Urmi Saha, Abhijeet Dubey, Pushpak Bhattacharyya:
  IIT Bombay at HASOC 2019: Supervised Hate Speech and Offensive Content Detection in Indo-European Languages. 352-358
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  Baidya Nath Saha, Apurbalal Senapati:
  CIT Kokrajhar Team: LSTM based Deep RNN Architecture for Hate Speech and Offensive Content (HASOC) Identification in Indo-European Languages. 359-365
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  Sreelakshmi K, Premjith B, Soman K. P:
  Amrita CEN at HASOC 2019: Hate Speech Detection in Roman and Devanagiri Scripted Text. 366-369
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  R. Rajalakshmi, B. Yashwant Reddy:
  DLRG@HASOC 2019: An Enhanced Ensemble Classifier for Hate and Offensive Content Identification. 370-379

Irony Detection in Arabic Tweets (IDAT)

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  Bilal Ghanem, Jihen Karoui, Farah Benamara, Véronique Moriceau, Paolo Rosso:
  IDAT@FIRE2019: Overview of the Track on Irony Detection in Arabic Tweets. 380-390
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  Chiyu Zhang, Muhammad Abdul-Mageed:
  Multi-Task Bidirectional Transformer Representations for Irony Detection. 391-400
• 
  Hamada A. Nayel, Walaa Medhat, Metwally Rashad:
  BENHA@IDAT: Improving Irony Detection in Arabic Tweets using Ensemble Approach. 401-408
• 
  Leila Moudjari, Karima Akli-Astouati:
  An Embedding-based Approach for Irony Detection in Arabic tweets. 409-415
• 
  Tharindu Ranasinghe, Hadeel Saadany, Alistair Plum, Salim Al Mandhari, Emad Mohamed, Constantin Orasan, Ruslan Mitkov:
  RGCL at IDAT: Deep Learning models for Irony Detection in Arabic Language. 416-425
• 
  Nikita Kanwar, Rajesh Kumar Mundotiya, Megha Agarwal, Chandradeep Singh:
  Emotion based voted classifier for Arabic irony tweet identification. 426-432
• 
  Muhammad Khalifa, Noura Hussein:
  Ensemble Learning for Irony Detection in Arabic Tweets. 433-438
• 
  S. Kayalvizhi, D. Thenmozhi, B. Senthil Kumar, Chandrabose Aravindan:
  SSN_NLP@IDAT-FIRE-2019: Irony Detection in Arabic Tweets using Deep Learning and Features-based Approaches. 439-444
• 
  Ali Allaith, Muhammad Shahbaz, Mohammed Alkoli:
  Neural Network Approach for Irony Detection from Arabic Text on Social Media. 445-450

Classification of Insincere Questions (CIQ)

• 
  Vandan Mujadia, Pruthwik Mishra, Dipti Misra Sharma:
  Classification of Insincere Questions with ML and Neural Approaches. 451-455
• 
  Chandni M, Priyanga V. T, Premjith B, Soman K. P:
  Amrita CEN CIQ: Classification of Insincere Questions. 456-462
• 
  Akshaya Ranganathan, Haritha Ananthakrishnan, D. Thenmozhi, Chandrabose Aravindan:
  Classification of Insincere Questions using SGD Optimization and SVM Classifiers. 463-467
• 
  Akanksha Mishra, Sukomal Pal:
  IIT-BHU at CIQ 2019: Classification of Insincere Questions. 468-472
• 
  Sourya Dipta Das, Ayan Basak, Soumil Mandal:
  Fine Grained Insincere Questions Classification using Ensembles of Bidirectional LSTM-GRU Model. 473-481
• 
  Zhongyuan Han, Jiaming Gao, Huilin Sun, Ruifeng Liu, Chengzhe Huang, Leilei Kong, Haoliang Qi:
  An Ensemble Learning-based Model for Classification of Insincere Questions. 482-488

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