Forum for Information Retrieval Evaluation (2019)
Working Notes of FIRE 2019 - Forum for Information Retrieval Evaluation, Kolkata, India, December 12-15, 2019
Overview of the FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance
Paheli Bhattacharya
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Kripabandhu Ghosh
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Saptarshi Ghosh
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Arindam Pal
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Parth Mehta
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Arnab Bhattacharya
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Prasenjit Majumder
Removing Named Entities to Find Precedent Legal Cases
Ravina More
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Jay Patil
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Abhishek Palaskar
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Aditi Pawde
IITP at AILA 2019: System Report for Artificial Intelligence for Legal Assistance Shared Task
Baban Gain
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Dibyanayan Bandyopadhyay
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Arkadipta De
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Tanik Saikh
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Asif Ekbal
CUSAT NLP@AILA-FIRE2019: Similarity in Legal Texts using Document Level Embeddings
Sara Renjit
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Sumam Mary Idicula
Unsupervised Identification of Relevant Cases & Statutes Using Word Embeddings
Soumil Mandal
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Sourya Dipta Das
Legal Assistance using Word Embeddings
S. Kayalvizhi
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D. Thenmozhi
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Chandrabose Aravindan
FIRE2019@AILA: Legal Information Retrieval Using Improved BM25
Zicheng Zhao
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Hui Ning
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Liang Liu
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Chengzhe Huang
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Leilei Kong
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Yong Han
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Zhongyuan Han
THUIR@AILA 2019: Information Retrieval Approaches for Identifying Relevant Precedents and Statutes
Yunqiu Shao
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Ziyi Ye
Legal Statutes Retrieval: A Comparative Approach on Performance of Title and Statutes Descriptive Text
Moemedi Lefoane
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Tshepho Koboyatshwene
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Goaletsa Rammidi
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V. Lakshmi Narasimham
DLRG@AILA 2019: Context - Aware Legal Assistance System
R. Ramesh Kannan
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R. Rajalakshmi
FIRE2019@AILA: Legal Retrieval Based on Information Retrieval Model
Jiaming Gao
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Hui Ning
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Huilin Sun
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Ruifeng Liu
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Zhongyuan Han
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Leilei Kong
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Haoliang Qi
Overview of the Track on Author Profiling and Deception Detection in Arabic
Francisco M. Rangel Pardo
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Paolo Rosso
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Anis Charfi
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Wajdi Zaghouani
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Bilal Ghanem
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Javier Sánchez-Junquera
BERT-Based Arabic Social Media Author Profiling
Chiyu Zhang
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Muhammad Abdul-Mageed
NAYEL@APDA: Machine Learning Approach for Author Profiling and Deception Detection in Arabic Texts
Hamada A. Nayel
Arabic Author Profiling and Deception Detection using Traditional Learning Methodologies with Word Embedding
Haritha Ananthakrishnan
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Akshaya Ranganathan
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D. Thenmozhi
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Chandrabose Aravindan
Author Profiling in Arabic Tweets: An Approach based on Multi-Classification with Word and Character Features
Yutong Sun
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Hui Ning
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Kaisheng Chen
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Leilei Kong
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Yunpeng Yang
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Jiexi Wang
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Haoliang Qi
Deception Detection in Arabic Texts Using N-grams Text Mining
Jorge Cabrejas
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Jose Vicente Martí
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Antonio Pajares
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Víctor Sanchis
DBMS-KU Approach for Author Profiling and Deception Detection in Arabic
Al Hafiz Akbar Maulana Siagian
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Masayoshi Aritsugi
Deception Detection in Arabic Tweets and News
F. Javier Fernández-Bravo Peñuela
Predicting Author Characteristics of Arabic Tweets through Author Profiling
Isabella Karabasz
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Paolo Cellini
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Gonzalo Galiana
KCE DALab-APDA@FIRE2019: Author Profiling and Deception Detection in Arabic using Weighted Embedding
Sharmila Devi V
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Kannimuthu S
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Ravikumar G
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Anand Kumar M
Arabic Tweeps Traits Prediction AT2P
Khaled Alrifai
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Ghaida Rebdawi
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Nada Ghneim
Detection of deceptions in Twitter and News Headlines written in Arabic
Francisco Eros Blázquez del Rio
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Manuel Conde Rodríguez
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Jose M. Escalante
Gender Age and Dialect Recognition using Tweets in a Deep Learning Framework - Notebook for FIRE 2019
Chanchal Suman
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Purushottam Kumar
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Sriparna Saha
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Pushpak Bhattacharyya
Overview of the HASOC track at FIRE 2019: Hate Speech and Offensive Content Identification in Indo-European Languages
Sandip Modha
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Thomas Mandl
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Prasenjit Majumder
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Daksh Patel
YNU_Wb at HASOC 2019: Ordered Neurons LSTM with Attention for Identifying Hate Speech and Offensive Language
Bin Wang
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Yunxia Ding
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Shengyan Liu
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Xiaobing Zhou
BRUMS at HASOC 2019: Deep Learning Models for Multilingual Hate Speech and Offensive Language Identification
Tharindu Ranasinghe
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Marcos Zampieri
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Hansi Hettiarachchi
3Idiots at HASOC 2019: Fine-tuning Transformer Neural Networks for Hate Speech Identification in Indo-European Languages
Shubhanshu Mishra
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Sudhanshu Mishra
Vito at HASOC 2019: Detecting Hate Speech and Offensive Content through Ensembles
Victor Nina-Alcocer
RALIGRAPH at HASOC 2019: VGCN-BERT: Augmenting BERT with Graph Embedding for Offensive Language Detection
Zhibin Lu
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Jian-Yun Nie
IIITG-ADBU at HASOC 2019: Automated Hate Speech and Offensive Content Detection in English and Code-Mixed Hindi Text
Arup Baruah
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Ferdous Ahmed Barbhuiya
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Kuntal Dey
QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language
Md. Abul Bashar
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Richi Nayak
HateMonitors: Language Agnostic Abuse Detection in Social Media
Punyajoy Saha
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Binny Mathew
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Pawan Goyal
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Animesh Mukherjee
QMUL-NLP at HASOC 2019: Offensive Content Detection and Classification in Social Media
Aiqi Jiang
LSV-UdS at HASOC 2019: The Problem of Defining Hate
Dana Ruiter
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Md. Ataur Rahman
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Dietrich Klakow
IIIT-Hyderabad at HASOC 2019: Hate Speech Detection
Vandan Mujadia
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Pruthwik Mishra
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Dipti Misra Sharma
IMT Mines Ales at HASOC 2019: Automatic Hate Speech Detection
Jean-Christophe Mensonides
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Pierre-Antoine Jean
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Andon Tchechmedjiev
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Sébastien Harispe
KMI-Panlingua at HASOC 2019: SVM vs BERT for Hate Speech and Offensive Content Detection
Ritesh Kumar
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Atul Kr. Ojha
TheNorth at HASOC 2019: Hate Speech Detection in Social Media Data
Pedro Alonso
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Rajkumar Saini
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György Kovács
UACh-INAOE at HASOC 2019: Detecting Aggressive Tweets by Incorporating Authors' Traits as Descriptors
Marco Casavantes
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Roberto López
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Luis Carlos González-Gurrola
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Manuel Montes-y-Gómez
IRLab@IITBHU at HASOC 2019: Traditional Machine Learning for Hate Speech and Offensive Content Identification
Anita Saroj
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Rajesh Kumar Mundotiya
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Sukomal Pal
DA Master at HASOC 2019: Identification of Hate Speech using Machine Learning and Deep Learning approaches for social media post
Apurva Parikh
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Harsh Desai
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Abhimanyu Singh Bisht
Team FalsePostive at HASOC 2019: Transfer-Learning for Detection and Classification of Hate Speech
Kaushik Amar Das
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Ferdous Ahmed Barbhuiya
AI ML NIT Patna at HASOC 2019: Deep Learning Approach for Identification of Abusive Content
Kirti Kumari
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Jyoti Prakash Singh
DEEP at HASOC2019: A Machine Learning Framework for Hate Speech and Offensive Language Detection
Hamada A. Nayel
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H. L. Shashirekha
IIT Varanasi at HASOC 2019: Hate Speech and Offensive Content Identification in Indo-European Languages
Akanksha Mishra
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Sukomal Pal
IIT Bombay at HASOC 2019: Supervised Hate Speech and Offensive Content Detection in Indo-European Languages
Urmi Saha
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Abhijeet Dubey
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Pushpak Bhattacharyya
CIT Kokrajhar Team: LSTM based Deep RNN Architecture for Hate Speech and Offensive Content (HASOC) Identification in Indo-European Languages
Baidya Nath Saha
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Apurbalal Senapati
Amrita CEN at HASOC 2019: Hate Speech Detection in Roman and Devanagiri Scripted Text
Sreelakshmi K
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Premjith B
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Soman K. P
DLRG@HASOC 2019: An Enhanced Ensemble Classifier for Hate and Offensive Content Identification
R. Rajalakshmi
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B. Yashwant Reddy
IDAT@FIRE2019: Overview of the Track on Irony Detection in Arabic Tweets
Bilal Ghanem
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Jihen Karoui
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Farah Benamara
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Véronique Moriceau
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Paolo Rosso
Multi-Task Bidirectional Transformer Representations for Irony Detection
Chiyu Zhang
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Muhammad Abdul-Mageed
BENHA@IDAT: Improving Irony Detection in Arabic Tweets using Ensemble Approach
Hamada A. Nayel
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Walaa Medhat
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Metwally Rashad
An Embedding-based Approach for Irony Detection in Arabic tweets
Leila Moudjari
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Karima Akli-Astouati
RGCL at IDAT: Deep Learning models for Irony Detection in Arabic Language
Tharindu Ranasinghe
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Hadeel Saadany
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Alistair Plum
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Salim Mandhari
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Emad Mohamed
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Constantin Orasan
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Ruslan Mitkov
Emotion based voted classifier for Arabic irony tweet identification
Nikita Kanwar
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Rajesh Kumar Mundotiya
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Megha Agarwal
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Chandradeep Singh
Ensemble Learning for Irony Detection in Arabic Tweets
Muhammad Khalifa
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Noura Hussein
SSN_NLP@IDAT-FIRE-2019: Irony Detection in Arabic Tweets using Deep Learning and Features-based Approaches
S. Kayalvizhi
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D. Thenmozhi
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B. Senthil Kumar
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Chandrabose Aravindan
Neural Network Approach for Irony Detection from Arabic Text on Social Media
Ali Allaith
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Muhammad Shahbaz
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Mohammed Alkoli
Classification of Insincere Questions with ML and Neural Approaches
Vandan Mujadia
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Pruthwik Mishra
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Dipti Misra Sharma
Amrita CEN CIQ: Classification of Insincere Questions
Chandni M
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Priyanga V. T
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Premjith B
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Soman K. P
Classification of Insincere Questions using SGD Optimization and SVM Classifiers
Akshaya Ranganathan
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Haritha Ananthakrishnan
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D. Thenmozhi
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Chandrabose Aravindan
IIT-BHU at CIQ 2019: Classification of Insincere Questions
Akanksha Mishra
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Sukomal Pal
Fine Grained Insincere Questions Classification using Ensembles of Bidirectional LSTM-GRU Model
Sourya Dipta Das
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Ayan Basak
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Soumil Mandal
An Ensemble Learning-based Model for Classification of Insincere Questions
Zhongyuan Han
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Jiaming Gao
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Huilin Sun
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Ruifeng Liu
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Chengzhe Huang
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Leilei Kong
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Haoliang Qi
FIRE '19: Forum for Information Retrieval Evaluation, Kolkata, India, December, 2019
FIRE '19: Forum for Information Retrieval Evaluation, Kolkata, India, December, 2019
CIQ@FIRE: Overview of the Shared Task on Fine-Grained Classification of Insincere Questions
Manjira Sinha
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Priya Radhakrishnan
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Sandya Mannarswamy
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Monnie Parida
FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance
Paheli Bhattacharya
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Kripabandhu Ghosh
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Saptarshi Ghosh
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Arindam Pal
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Parth Mehta
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Arnab Bhattacharya
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Prasenjit Majumder
On the Author Profiling and Deception Detection in Arabic shared task at FIRE
Francisco M. Rangel Pardo
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Paolo Rosso
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Anis Charfi
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Wajdi Zaghouani
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Bilal Ghanem
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Javier Sánchez-Junquera
IDAT at FIRE2019: Overview of the Track on Irony Detection in Arabic Tweets
Bilal Ghanem
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Jihen Karoui
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Farah Benamara
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Véronique Moriceau
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Paolo Rosso
Overview of the HASOC track at FIRE 2019: Hate Speech and Offensive Content Identification in Indo-European Languages
Thomas Mandl
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Sandip Modha
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Prasenjit Majumder
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Daksh Patel
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Mohana Dave
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Chintak Mandalia
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Aditya Patel
A CNN based approach to Phrase-Labelling through classification of N-Grams
Chinmay Choudhary
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Colm O'Riordan
Authorship Clustering using TF-IDF weighted Word-Embeddings
Lucky Agarwal
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Kartik Thakral
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Gaurav Bhatt
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Ankush Mittal
Code-Mixed to Monolingual Translation Framework
Sainik Kumar Mahata
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Soumil Mandal
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Dipankar Das
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Sivaji Bandyopadhyay
Unsupervised Approach for Monitoring Satire on Social Media
Aman Sinha
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Parth Pradeep Patekar
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Radhika Mamidi
A Hybrid Approach to Develop the First Stemmer in Maithili
Ankur Priyadarshi
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Sujan Kumar Saha
A Method to Detect Inconsistent Annotations in a Medical Document using UMLS
Devasish Mahato
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Disha Dudhal
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Dhanashree Revagade
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Yesoda Bhargava
Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering
Souvick Ghosh
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Satanu Ghosh
Automatic Humor Detection from Code-Mixed Tweets
Vaibhav Shukla
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Manjira Sinha
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Tirthankar Dasgupta
Language Identification of Bengali-English Code-Mixed Data using Character & Phonetic based LSTM Models
Sourya Dipta Das
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Soumil Mandal
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Dipankar Das
Information Foraging for Enhancing Implicit Feedback in Content-based Image Recommendation
Amit Kumar Jaiswal
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Haiming Liu
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Ingo Frommholz