| Vol-2517 urn:nbn:de:0074-2517-7 Copyright © 2019 for the individual papers by the papers' authors. Copyright © 2019 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# FIRE 2019
FIRE 2019 Working Notes

### Working Notes of FIRE 2019 - Forum for Information Retrieval Evaluation

### Kolkata, India, December 12-15, 2019.

Edited by

### Parth Mehta*
Paolo Rosso **
Prasenjit Majumder *
Mandar Mitra ***

* Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India
** PRHLT research center, Universitat Politècnica de València, Valencia, Spain
*** Indian Statistical Institute, Kolkata, India

## Table of Contents

- Preface
  Parth Mehta, Paolo Rosso, Prasenjit Majumder, Mandar Mitra

### Artificial Intelligence for Legal Assistance (AILA)

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

### Author profiling and deception detection in Arabic (APDA)

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

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

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

### Irony Detection in Arabic Tweets (IDAT)

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

### Classification of Insincere Questions (CIQ)

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

2019-12-06: submitted by Parth Mehta, metadata incl. bibliographic data published under Creative Commons CC0
2019-12-13: published on CEUR-WS.org |valid HTML5|