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Working Notes of FIRE 2019 - Forum for Information Retrieval Evaluation, Kolkata, India, December 12-15, 2019

Parth Mehta, Paolo Rosso, Prasenjit Majumder, Mandar Mitra (Editors)


Anthology ID:
2019.fire_conference-2019w
Year:
2019
Venue:
fire_conference
Publisher:
CEUR-WS.org
URL:
https://ceur-ws.org/Vol-2517
DBLP:
conf/fire/2019w
BibTeX:
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Working Notes of FIRE 2019 - Forum for Information Retrieval Evaluation, Kolkata, India, December 12-15, 2019

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Overview of the FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance
Paheli Bhattacharya | Kripabandhu Ghosh | Saptarshi Ghosh | Arindam Pal | Parth Mehta | Arnab Bhattacharya | Prasenjit Majumder

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Removing Named Entities to Find Precedent Legal Cases
Ravina More | Jay Patil | Abhishek Palaskar | Aditi Pawde

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IITP at AILA 2019: System Report for Artificial Intelligence for Legal Assistance Shared Task
Baban Gain | Dibyanayan Bandyopadhyay | Arkadipta De | Tanik Saikh | Asif Ekbal

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CUSAT NLP@AILA-FIRE2019: Similarity in Legal Texts using Document Level Embeddings
Sara Renjit | Sumam Mary Idicula

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Unsupervised Identification of Relevant Cases & Statutes Using Word Embeddings
Soumil Mandal | Sourya Dipta Das

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Legal Assistance using Word Embeddings
S. Kayalvizhi | D. Thenmozhi | Chandrabose Aravindan

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FIRE2019@AILA: Legal Information Retrieval Using Improved BM25
Zicheng Zhao | Hui Ning | Liang Liu | Chengzhe Huang | Leilei Kong | Yong Han | Zhongyuan Han

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THUIR@AILA 2019: Information Retrieval Approaches for Identifying Relevant Precedents and Statutes
Yunqiu Shao | Ziyi Ye

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Legal Statutes Retrieval: A Comparative Approach on Performance of Title and Statutes Descriptive Text
Moemedi Lefoane | Tshepho Koboyatshwene | Goaletsa Rammidi | V. Lakshmi Narasimham

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DLRG@AILA 2019: Context - Aware Legal Assistance System
R. Ramesh Kannan | R. Rajalakshmi

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FIRE2019@AILA: Legal Retrieval Based on Information Retrieval Model
Jiaming Gao | Hui Ning | Huilin Sun | Ruifeng Liu | Zhongyuan Han | Leilei Kong | Haoliang Qi

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Overview of the Track on Author Profiling and Deception Detection in Arabic
Francisco M. Rangel Pardo | Paolo Rosso | Anis Charfi | Wajdi Zaghouani | Bilal Ghanem | Javier Sánchez-Junquera

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BERT-Based Arabic Social Media Author Profiling
Chiyu Zhang | Muhammad Abdul-Mageed

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NAYEL@APDA: Machine Learning Approach for Author Profiling and Deception Detection in Arabic Texts
Hamada A. Nayel

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Arabic Author Profiling and Deception Detection using Traditional Learning Methodologies with Word Embedding
Haritha Ananthakrishnan | Akshaya Ranganathan | D. Thenmozhi | Chandrabose Aravindan

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Author Profiling in Arabic Tweets: An Approach based on Multi-Classification with Word and Character Features
Yutong Sun | Hui Ning | Kaisheng Chen | Leilei Kong | Yunpeng Yang | Jiexi Wang | Haoliang Qi

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Deception Detection in Arabic Texts Using N-grams Text Mining
Jorge Cabrejas | Jose Vicente Martí | Antonio Pajares | Víctor Sanchis

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DBMS-KU Approach for Author Profiling and Deception Detection in Arabic
Al Hafiz Akbar Maulana Siagian | Masayoshi Aritsugi

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Deception Detection in Arabic Tweets and News
F. Javier Fernández-Bravo Peñuela

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Predicting Author Characteristics of Arabic Tweets through Author Profiling
Isabella Karabasz | Paolo Cellini | Gonzalo Galiana

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KCE DALab-APDA@FIRE2019: Author Profiling and Deception Detection in Arabic using Weighted Embedding
Sharmila Devi V | Kannimuthu S | Ravikumar G | Anand Kumar M

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Arabic Tweeps Traits Prediction AT2P
Khaled Alrifai | Ghaida Rebdawi | Nada Ghneim

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Detection of deceptions in Twitter and News Headlines written in Arabic
Francisco Eros Blázquez del Rio | Manuel Conde Rodríguez | Jose M. Escalante

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Gender Age and Dialect Recognition using Tweets in a Deep Learning Framework - Notebook for FIRE 2019
Chanchal Suman | Purushottam Kumar | Sriparna Saha | Pushpak Bhattacharyya

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Overview of the HASOC track at FIRE 2019: Hate Speech and Offensive Content Identification in Indo-European Languages
Sandip Modha | Thomas Mandl | Prasenjit Majumder | Daksh Patel

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YNU_Wb at HASOC 2019: Ordered Neurons LSTM with Attention for Identifying Hate Speech and Offensive Language
Bin Wang | Yunxia Ding | Shengyan Liu | Xiaobing Zhou

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BRUMS at HASOC 2019: Deep Learning Models for Multilingual Hate Speech and Offensive Language Identification
Tharindu Ranasinghe | Marcos Zampieri | Hansi Hettiarachchi

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3Idiots at HASOC 2019: Fine-tuning Transformer Neural Networks for Hate Speech Identification in Indo-European Languages
Shubhanshu Mishra | Sudhanshu Mishra

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Vito at HASOC 2019: Detecting Hate Speech and Offensive Content through Ensembles
Victor Nina-Alcocer

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RALIGRAPH at HASOC 2019: VGCN-BERT: Augmenting BERT with Graph Embedding for Offensive Language Detection
Zhibin Lu | Jian-Yun Nie

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IIITG-ADBU at HASOC 2019: Automated Hate Speech and Offensive Content Detection in English and Code-Mixed Hindi Text
Arup Baruah | Ferdous Ahmed Barbhuiya | Kuntal Dey

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QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language
Md. Abul Bashar | Richi Nayak

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HateMonitors: Language Agnostic Abuse Detection in Social Media
Punyajoy Saha | Binny Mathew | Pawan Goyal | Animesh Mukherjee

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QMUL-NLP at HASOC 2019: Offensive Content Detection and Classification in Social Media
Aiqi Jiang

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LSV-UdS at HASOC 2019: The Problem of Defining Hate
Dana Ruiter | Md. Ataur Rahman | Dietrich Klakow

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IIIT-Hyderabad at HASOC 2019: Hate Speech Detection
Vandan Mujadia | Pruthwik Mishra | Dipti Misra Sharma

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IMT Mines Ales at HASOC 2019: Automatic Hate Speech Detection
Jean-Christophe Mensonides | Pierre-Antoine Jean | Andon Tchechmedjiev | Sébastien Harispe

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KMI-Panlingua at HASOC 2019: SVM vs BERT for Hate Speech and Offensive Content Detection
Ritesh Kumar | Atul Kr. Ojha

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TheNorth at HASOC 2019: Hate Speech Detection in Social Media Data
Pedro Alonso | Rajkumar Saini | György Kovács

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UACh-INAOE at HASOC 2019: Detecting Aggressive Tweets by Incorporating Authors' Traits as Descriptors
Marco Casavantes | Roberto López | Luis Carlos González-Gurrola | Manuel Montes-y-Gómez

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IRLab@IITBHU at HASOC 2019: Traditional Machine Learning for Hate Speech and Offensive Content Identification
Anita Saroj | Rajesh Kumar Mundotiya | Sukomal Pal

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DA Master at HASOC 2019: Identification of Hate Speech using Machine Learning and Deep Learning approaches for social media post
Apurva Parikh | Harsh Desai | Abhimanyu Singh Bisht

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Team FalsePostive at HASOC 2019: Transfer-Learning for Detection and Classification of Hate Speech
Kaushik Amar Das | Ferdous Ahmed Barbhuiya

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AI ML NIT Patna at HASOC 2019: Deep Learning Approach for Identification of Abusive Content
Kirti Kumari | Jyoti Prakash Singh

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DEEP at HASOC2019: A Machine Learning Framework for Hate Speech and Offensive Language Detection
Hamada A. Nayel | H. L. Shashirekha

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IIT Varanasi at HASOC 2019: Hate Speech and Offensive Content Identification in Indo-European Languages
Akanksha Mishra | Sukomal Pal

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IIT Bombay at HASOC 2019: Supervised Hate Speech and Offensive Content Detection in Indo-European Languages
Urmi Saha | Abhijeet Dubey | Pushpak Bhattacharyya

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CIT Kokrajhar Team: LSTM based Deep RNN Architecture for Hate Speech and Offensive Content (HASOC) Identification in Indo-European Languages
Baidya Nath Saha | Apurbalal Senapati

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Amrita CEN at HASOC 2019: Hate Speech Detection in Roman and Devanagiri Scripted Text
Sreelakshmi K | Premjith B | Soman K. P

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DLRG@HASOC 2019: An Enhanced Ensemble Classifier for Hate and Offensive Content Identification
R. Rajalakshmi | B. Yashwant Reddy

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IDAT@FIRE2019: Overview of the Track on Irony Detection in Arabic Tweets
Bilal Ghanem | Jihen Karoui | Farah Benamara | Véronique Moriceau | Paolo Rosso

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Multi-Task Bidirectional Transformer Representations for Irony Detection
Chiyu Zhang | Muhammad Abdul-Mageed

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BENHA@IDAT: Improving Irony Detection in Arabic Tweets using Ensemble Approach
Hamada A. Nayel | Walaa Medhat | Metwally Rashad

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An Embedding-based Approach for Irony Detection in Arabic tweets
Leila Moudjari | Karima Akli-Astouati

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RGCL at IDAT: Deep Learning models for Irony Detection in Arabic Language
Tharindu Ranasinghe | Hadeel Saadany | Alistair Plum | Salim Mandhari | Emad Mohamed | Constantin Orasan | Ruslan Mitkov

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Emotion based voted classifier for Arabic irony tweet identification
Nikita Kanwar | Rajesh Kumar Mundotiya | Megha Agarwal | Chandradeep Singh

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Ensemble Learning for Irony Detection in Arabic Tweets
Muhammad Khalifa | Noura Hussein

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SSN_NLP@IDAT-FIRE-2019: Irony Detection in Arabic Tweets using Deep Learning and Features-based Approaches
S. Kayalvizhi | D. Thenmozhi | B. Senthil Kumar | Chandrabose Aravindan

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Neural Network Approach for Irony Detection from Arabic Text on Social Media
Ali Allaith | Muhammad Shahbaz | Mohammed Alkoli

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Classification of Insincere Questions with ML and Neural Approaches
Vandan Mujadia | Pruthwik Mishra | Dipti Misra Sharma

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Amrita CEN CIQ: Classification of Insincere Questions
Chandni M | Priyanga V. T | Premjith B | Soman K. P

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Classification of Insincere Questions using SGD Optimization and SVM Classifiers
Akshaya Ranganathan | Haritha Ananthakrishnan | D. Thenmozhi | Chandrabose Aravindan

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IIT-BHU at CIQ 2019: Classification of Insincere Questions
Akanksha Mishra | Sukomal Pal

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Fine Grained Insincere Questions Classification using Ensembles of Bidirectional LSTM-GRU Model
Sourya Dipta Das | Ayan Basak | Soumil Mandal

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An Ensemble Learning-based Model for Classification of Insincere Questions
Zhongyuan Han | Jiaming Gao | Huilin Sun | Ruifeng Liu | Chengzhe Huang | Leilei Kong | Haoliang Qi