FIRE-WN 2020
FIRE 2020 Working Notes

Table of Contents

• Preface
  Parth Mehta, Thomas Mandl, Prasenjit Majumder, Mandar Mitra

Artificial Intelligence for Legal Assistance (AILA)

• Overview of the FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance 1-11
  Paheli Bhattacharya, Parth Mehta, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder
• UB at FIRE 2020 Precedent and Statute Retrieval 12-17
  Tebo Leburu-Dingalo, Nkwebi Peace Motlogelwa, Edwin Thuma, Monkgogi Modungo
• Query Revaluation Method For Legal Information Retrieval 18-21
  Liang Liu, Lexiao Liu, Zhongyuan Han
• Rhetorical Role Labelling for Legal Judgements Using ROBERTA 22-25
  Soumayan Bandhu Majumder, Dipankar Das
• Legal Information Retrieval and Rhetorical Role Labelling for Legal Judgements 26-30
  Nitin Nikamanth Appiah Balaji, B. Bharathi, J. Bhuvana
• Best Matching Algorithm to Identify and Rank the Relevant Statutes 31-34
  Kayalvizhi S, Thenmozhi D, Chandrabose Aravindan
• Legal text classification model based on text statistical features and deep semantic features 35-41
  Jiaming Gao, Hui Ning, Zhongyuan Han, LeiLei Kong, Haoliang Qi
• Document Level Embeddings for Identifying Similar Legal Cases and Laws 42-48
  Intisar Almuslim, Diana Inkpen
• Language Model-based Approaches for Legal Assistance 49-53
  Zhiran Li, Leilei Kong
• A Study on Lemma vs Stem for Legal Information Retrieval Using R Tidyverse 54-59
  Giorgio Maria Di Nunzio
• Artificial Intelligence as Legal Research Assistant 60-65
  Jhanvi Arora, Tanay Patankar, Alay Shah, Shubham Joshi
• Spectre@AILA-FIRE2020: Supervised Rhetorical Role Labeling for Legal Judgments using Transformers 66-70
  Racchit Jain, Abhishek Agarwal, Yashvardhan Sharma
• The Language Model for Legal Retrieval and Bert-based Model for Rhetorical Role Labeling for Legal Judgments 71-75
  Yujie Xu, Tang Li, Zhongyuan Han
• FIRE2020 AILA Track: Legal domain search with minimal domain knowledge 76-81
  Tobias Fink, Gabor Recski, Allan Hanbury
• Retrieval Model and Classification Model for AILA2020 82-86
  Menghan Wu, Zhengyu Wu, Xiangyu Wang, Zhongyuan Han

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

• Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages 87-111
  Thomas Mandl, Sandip Modha, Gautam Kishore Shahi, Amit Kumar Jaiswal, Durgesh Nandini, Daksh Patel, Prasenjit Majumder, Johannes Schäfer
• Overview of the track on HASOC-Offensive Language Identification-DravidianCodeMix 112-120
  Bharathi Raja Chakravarthi, Anand Kumar M, John P. McCrae, B Premjith, K.P Soman, Thomas Mandl
• YNU_OXZ at HASOC 2020: Multilingual Hate Speech and Offensive Content Identification based on XLM-RoBERTa 121-127
  Xiaozhi Ou, Hongling Li
• Leveraging Multilingual Transformers for Hate Speech Detection 128-138
  Sayar Ghosh Roy, Ujwal Narayan, Tathagata Raha, Zubair Abid, Vasudeva Varma
• IIIT_DWD@HASOC 2020: Identifying offensive content in Indo-European languages 139-144
  Ankit Kumar Mishra, Sunil Saumya, Abhinav Kumar
• LAs for HASOC - Learning Approaches for Hate Speech and Offensive Content Identification 145-151
  Fazlourrahman Balouchzahi, H L Shashirekha
• Astralis @ HASOC 2020:Analysis On Identification Of Hate Speech In Indo-European Languages With Fine-Tuned Transformers 152-160
  Hiren Madhu, Shrey Satapara, Harsh Rathod
• NSIT & IIITDWD @ HASOC 2020: Deep learning model for hate-speech identification in Indo-European languages 161-167
  Roushan Raj, Shivangi Srivastava, Sunil Saumya
• JU at HASOC 2020: Deep Learning with RoBERTa and Random Forest for Hate Speech and Offensive Content Identification in Indo-European Languages 168-174
  Biswarup Ray, Avishek Garain
• Chrestotes@HASOC 2020: Bert Fine-tuning for the Identification of Hate Speech and Offensive Language in Indo-European Languages 175-179
  Tochukwu Ezike, Manikan Sivanesan
• HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection 180-187
  Suman Dowlagar, Radhika Mamidi
• SSN_NLP_MLRG@HASOC-FIRE2020: Multilingual Hate Speech and Offensive Content Detection in Indo-European Languages using ALBERT 188-194
  A Kalaivani, D Thenmozhi
• Zeus at HASOC 2020: Hate speech detection based on ALBERT-DPCNN 195-201
  Siyao Zhou, Rui Fu, Jie Li
• ZYJ at HASOC 2020: ALBERT-Based Model for Hate Speech and Offensive Content Identification 202-209
  Yingjia Zhao, Xin Tao
• Lee@HASOC2020: ALBERT-based Max Ensemble with Self-training for Identifying Hate Speech and Offensive Content in Indo-European Languages 210-216
  Junyi Li, Tianzi Zhao
• YUN_DE at HASOC2020 subtask A: Multi-Model Ensemble Learning for Identifying Hate Speech and Offensive Language 217-223
  Zichen Zhang, Yuhang Wu, Hao Wu
• Huiping Shi@HASOC 2020: Multi-Top k Self-Attention with K-Max pooling for discrimination between Hate profane and offensive posts 224-231
  Huiping Shi, Xiaobing Zhou
• Hub@HASOC 2020: Fine-tuning Pre-Trained Transformer Language Models for Hate Speech and Offensive Content Identification in Indo-European Languages 232-240
  Bo Huang, Yang Bai
• HRS-TECHIE@Dravidian-CodeMix and HASOC-FIRE2020: Sentiment Analysis and Hate Speech Identification using Machine Learning Deep Learning and Ensemble Models 241-252
  Sridhar Swaminathan, Hari Krishnan Ganesan, Radhakrishnan Pandiyarajan
• An Ensemble Model for Hate Speech and Offensive Content Identification in Indo-European Languages 253-259
  M D Anusha, H L Shashirekha
• IRIT-PREVISION AT HASOC 2020: Fine-tuning BERT for Hate Speech and Offensive Content Identification 260-265
  Josiane Mothe, Pratik Parikh, Faneva Ramiandrisoaa
• NITP-AI-NLP@HASOC-FIRE2020: Fine Tuned BERT for the Hate Speech and Offensive Content Identification from Social Media 266-273
  Abhinav Kumar, Sunil Saumya, Jyoti Prakash Singh
• HateDetectors at HASOC 2020: Hate Speech Detection using Classical Machine learning and Transfer learning based approaches 274-282
  Varsha Reddy, Surendra Telidevara
• Simon@HASOC 2020: Detecting Hate Speech and Offensive Content in German Language with BERT and Ensembles 283-289
  Qinyu Que, Ruijie Sun, Shasha Xie
• Hate Speech and Offensive Content Identification: LSTM Based Deep Learning Approach @ HASOC 2020 290-297
  Baidya Nath Saha, Apurbalal Senapati
• TUB at HASOC 2020: Character based LSTM for Hate Speech Detection in Indo-European Languages 298-303
  Salar Mohtaj, Vinicius Woloszyn, Sebastian Möller
• DLRG@HASOC 2020: A Hybrid Approach for Hate and Offensive Content Identification in Multilingual Tweets 304-310
  Yashwanth Reddy. B, Ratnavel Rajalakshmi
• yasuo at HASOC2020: Fine-tune XML-RoBERTa for Hate Speech Identification 311-318
  Li Xu, Jun Xeng, Shi Chen
• AI_ML_NIT_Patna @HASOC 2020: BERT Models for Hate Speech Identification in Indo-European Languages 319-324
  Kirti Kumari, Jyoti Prakash Singh
• CFILT IIT Bombay at HASOC 2020: Joint multitask learning of multilingual hate speech and offensive content detection system 325-330
  Pankaj Singh, Pushpak Bhattacharyya
• NLP-CIC at HASOC 2020: Multilingual Offensive Language Detection using All-in-one Model 331-335
  Segun Taofeek Aroyehun, Alexander Gelbukh
• Siva@HASOC-Dravidian-CodeMix-FIRE-2020: Multilingual Offensive Speech Detection in Code-mixed and Romanized Text 336-343
  Siva Sai, Yashvardhan Sharma
• CUSAT_NLP@HASOC-Dravidian-CodeMix-FIRE2020: Identifying Offensive Language from Manglish Tweets 344-350
  Sara Renjit, Sumam Mary Idicula
• KBCNMUJAL@HASOC-Dravidian-CodeMix-FIRE2020: Using Machine Learning for Detection of Hate Speech and Offensive Codemix Social Media text 351-361
  Varsha Pathak, Manish Joshi, Prasad Joshi, Monica Mundada, Tanmay Joshi
• Gauravarora@HASOC-Dravidian-CodeMix- FIRE2020: Pre-training ULMFiT on Synthetically Generated Code-Mixed Data for Hate Speech Detection 362-369
  Gaurav Arora
• SSNCSE_NLP@HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification on Multilingual Code Mixing Text 370-376
  Nitin Nikamanth Appiah Balaji, B. Bharathi
• CENMates@HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification on Code-mixed Social Media Comments 377-383
  Veena P V, Praveena Ramanan, Remmiya Devi G
• NITP-AI-NLP@HASOC-Dravidian-CodeMix-FIRE2020: A Machine Learning Approach to Identify Offensive Languages from Dravidian Code-Mixed Text 384-390
  Abhinav Kumar, Sunil Saumya, Jyoti Prakash Singh
• YUN@HASOC-Dravidian-CodeMix-FIRE2020: A Multi-component Sentiment Analysis Model for Offensive Language Identification 391-396
  Kunjie Dong, Yao Wang
• Zyy1510@HASOC-Dravidian-CodeMix-FIRE2020: An Ensemble Model for Offensive Language Identification 397-403
  Yueying Zhu, Xiaobing Zhou
• Ajees@HASOC-Dravidian-CodeMix-FIRE2020 404-410
  Ajees A P
• CFILT IIT Bombay@HASOC-Dravidian-CodeMix FIRE 2020: Assisting ensemble of transformers with random transliteration 411-416
  Pankaj Singh, Pushpak Bhattacharyya
• WLV-RIT at HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification in Code-switched YouTube Comments 417-426
  Tharindu Ranasinghe, Sarthak Gupte, Marcos Zampieri, Ifeoma Nwogu
• IIITG-ADBU@HASOC-Dravidian-CodeMix-FIRE2020: Offensive Content Detection in Code-Mixed Dravidian Text 427-433
  Arup Baruah, Kaushik Amar Das, Ferdous Ahmed Barbhuiya, Kuntal Dey

Fake News Detection in the Urdu Language (UrduFake)

• Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2020 434-446
  Maaz Amjad, Grigori Sidorov, Alisa Zhila, Alexander Gelbukh, Paolo Rosso
• Fake News Detection in the Urdu Language using CharCNN-RoBERTa 447-451
  Nankai Lin, Sihui Fu, Shengyi Jiang
• Urdu Fake News Detection using Generalized Autoregressors 452-457
  Abdullah Faiz Ur Rahman Khilji, Sahinur Rahman Laskar, Partha Pakray, Sivaji Bandyopadhyay
• NITP-AI-NLP@UrduFake-FIRE2020: Multi-layer Dense Neural Network for Fake News Detection in Urdu News Articles 458-463
  Abhinav Kumar, Sunil Saumya, Jyoti Prakash Singh
• A GRU-based Fake News Prediction System: Working Notes for UrduFake-FIRE 2020 464-468
  Saichethan Miriyala Reddy, Chanchal Suman, Sriparna Saha, Pushpak Bhattacharyya
• SSNCSE_NLP@Fake news detection in the Urdu language (UrduFake) 2020 469-473
  Nitin Nikamanth Appiah Balaji, B. Bharathi
• Learning Models for Urdu Fake News Detection 474-479
  Fazlourrahman Balouchzahi, H L Shashirekha

Sentiment Analysis of Dravidian Languages in Code-Mixed Text

• Overview of the track on Sentiment Analysis for Dravidian Languages in Code-Mixed Text 480-489
  Bharathi Raja Chakravarthi, Ruba Priyadharshini, Vigneshwaran Muralidaran, Shardul Suryawanshi, Navya Jose, Elizabeth Sherly, John P. McCrae
• JUNLP@Dravidian-CodeMix-FIRE2020: Sentiment Classification of Code-Mixed Tweets using Bi-Directional RNN and Language Tags 490-494
  Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay
• MUCS@Dravidian-CodeMix-FIRE2020:SACO-SentimentsAnalysis for CodeMix Text 495-502
  Fazlourrahman Balouchzahi, H L Shashirekha
• Bits2020@Dravidian-CodeMix-FIRE2020: Sub-Word Level Sentiment Analysis of Dravidian Code Mixed Data 503-509
  Yashvardhan Sharma, Asrita Venkata Mandalam
• CMSAOne@Dravidian-CodeMix-FIRE2020: A Meta Embedding and Transformer model for Code-Mixed Sentiment Analysis on Social Media Text 510-516
  Suman Dowlagar, Radhika Mamidi
• HIT_SUN@Dravidian-CodeMix-FIRE2020: Sentiment Analysis on Multilingual Code-Mixing Text Base on BERT 517-521
  Huilin Sun, Jiaming Gao, Fang Sun
• JudithJeyafreeda@Dravidian-CodeMix-FIRE2020: Sentiment Analysis of YouTube Comments for Dravidian Languages 522-527
  Judith Jeyafreeda Andrew
• SSN_NLP_MLRG@Dravidian-CodeMix-FIRE2020: Sentiment Code-Mixed Text Classification in Tamil and Malayalam using ULMFiT 528-534
  A. Kalaivani, D. Thenmozhi
• IRLab@IITBHU@Dravidian-CodeMix-FIRE2020: Sentiment Analysis for Dravidian Languages in Code-Mixed Text 535-540
  Supriya Chanda, Sukomal Pal
• PITS@Dravidian-CodeMix-FIRE2020: Traditional Approach to Noisy Code-Mixed Sentiment Analysis 541-547
  Nikita Kanwar, Megha Agarwal, Rajesh Kumar Mundotiya
• SRJ @ Dravidian-CodeMix-FIRE2020:Automatic Classification and Identification Sentiment in Code-mixed Text 548-553
  Ruijie Sun, Xiaobing Zhou
• SSNCSE_NLP@Dravidian-CodeMix-FIRE2020: Sentiment Analysis for Dravidian Languages in Code-Mixed Text 554-559
  Nitin Nikamanth Appiah Balaji, B. Bharathi, Bhuvana J
• YNU@Dravidian-CodeMix-FIRE2020: XLM-RoBERTa for Multi-language Sentiment Analysis 560-565
  Xiaozhi Ou, Hongling Li
• CIA_NITT@Dravidian-CodeMix-FIRE2020: Malayalam-English Code Mixed Sentiment Analysis Using Sentence BERT And Sentiment Features 566-573
  Yandrapati Prakash Babu, Rajagopal Eswari, K Nimmi
• LucasHub@Dravidian-CodeMix-FIRE2020: Sentiment Analysis on Multilingual Code Mixing Text with M-BERT and XLM-RoBERTa 574-581
  Bo Huang, Yang Bai
• NITP-AI-NLP@Dravidian-CodeMix-FIRE2020: A Hybrid CNN and Bi-LSTM Network for Sentiment Analysis of Dravidian Code-Mixed Social Media Posts 582-590
  Abhinav Kumar, Sunil Saumya, Jyoti Prakash Singh
• SA_SVG@Dravidian-CodeMix-FIRE2020: Deep Learning Based Sentiment Analysis in Code-mixed Tamil-English Text 591-596
  Anbukkarasi S, Varadhaganapathy S
• IRLab@IITV@Dravidian-CodeMix-FIRE2020: Sentiment Analysis on Multilingual Code Mixing Text Using BERT-BASE 597-606
  Anita Saroj, Sukomal Pal
• UMSNH-INFOTEC@Dravidian-CodeMix-FIRE2020: An ensemble approach based on a multiple text representations 607-614
  José Ortiz-Bejar, Jesus Ortiz-Bejar, Jaime Cerda-Jacabo, Mario Graff, Eric S. Tellez
• TADS@Dravidian-CodeMix-FIRE2020: Sentiment Analysis on CodeMix Dravidian Language 615-619
  Deepesh Sharma
• Parameswari_faith_nagaraju@Dravidian-CodeMix-FIRE: A machine-learning approach using n-grams in sentiment analysis for code-mixed texts: A case study in Tamil and Malayalam 620-627
  Parameswari Krishnamurthy, Faith Varghese, Nagaraju Vuppala
• YUN111@Dravidian-CodeMix-FIRE2020: Sentiment Analysis of Dravidian Code Mixed Text 628-634
  Yueying Zhu, Kunjie Dong
• Theedhum Nandrum@Dravidian-CodeMix-FIRE2020: A Sentiment Polarity Classifier for YouTube Comments with Code-switching between Tamil Malayalam and English 635-641
  BalaSundaraRaman Lakshmanan, Sanjeeth Kumar Ravindranath
• NUIG-Shubhanker@Dravidian-CodeMix- FIRE2020:Sentiment Analysis of Code-Mixed Dravidian text using XLNet 642-648
  Shubhanker Banerjee, Arun Jaypal, Sajeetha Thavareesan

Authorship Identification of SOurce COde (AI-SOCO)

• Overview of the PAN@FIRE 2020 Task on the Authorship Identification of SOurce COde 649-676
  Ali Fadel, Husam Musleh, Ibraheem Tuffaha, Mahmoud Al-Ayyoub, Yaser Jararweh, Elhadj Benkhelifa, Paolo Rosso
• UoB at AI-SOCO 2020: Approaches to Source Code Classification and the Surprising Power of n-grams 677-693
  Alexander Crosby, Harish Tayyar Madabushi
• N-gram-based Authorship Identification of Source Code 694-698
  Yunpeng Yang, Leilei Kong, Zhongyua Han, Yong Han, Haoliang Qi
• Team Alexa at Authorship Identification of SOurce Code (AI-SOCO) 699-704
  Mutaz Bni Younes, Nour Al-Khdour
• Boosting a kNN Classifier by improving Feature Extraction for Authorship Identification of Source Code 705-712
  Yves Bestgen
• Ranking-based and Classification-based Approaches for Code Author Identification 713-716
  Zhongyuan Han, Tang Li, Xiangyu Wang, Yujie Xu, Menghan Wu, Zhiran Li, Zhengyu Wu, Yong Han
• UMUTeam at AI-SOCO’2020: Source Code Authorship Identification based on Character N-Grams and Author's Traits 717-726
  José Antonio García-Díaz, Rafael Valencia-García
• Embedding-based Authorship Identification of Source Code 727-731
  Asrita Venkata Mandalam, Abhishek
• Source Code Authorship Attribution using Stacked classifier 732-737
  Chanchal Suman, Ayush Raj, Sriparna Saha, Pushpak Bhattacharyya
• Kode_Stylers: Author Identification through Naturalness of Code: An Ensemble Approach 738-745
  Panyawut Sriiesaranusorn, Supatsara Wattanakriengkrai, Teyon Son, Takeru Tanaka, Christopher Wiraatmaja, Takashi Ishio, Raula Gaikovina Kula
• SSNCSE_NLP@Authorship Identification of SOurce COde (AI-SOCO) 2020 746-750
  Nitin Nikamanth Appiah Balaji, B. Bharathi

Cause-Effect Relation Extraction from Text (CEREX)

• SSN_NLP@FIRE2020 : Automatic Extraction of Causal Relations Using Deep Learning and Machine Translation Approaches 751-755
  Thenmozhi D, Arunima S, Amlan Sengupta, Avantika Balaji
• Feature Fusion with Hand-crafted and Transfer Learning Embeddings for Cause-Effect Relation Extraction 756-764
  Abdul Aziz, Afrin Sultana, MD. Akram Hossain, Nabila Ayman, Abu Nowshed Chy

Causality-driven Ad hoc Information Retrieval (CAIR)

• Causality Detection for Causality-driven Adhoc Information Retrieval Task 765-770
  Chuan-An Lin, Yi Zhang
• Preliminary Investigation on Causality Information Retrieval 771-779
  Pankaj Dadure, Partha Pakray, Sivaji Bandyopadhyay

Anaphora Resolution from Social Media Text in Indian Languages

• Attention based Anaphora Resolution for Code-Mixed Social Media Text for Hindi Language 780-787
  Sandhya Singh, Kevin Patel, Pushpak Bhattacharyya

Retrieval from Conversational Dialogues (RCD)

• DCU at the FIRE 2020 Retrieval from Conversational Dialogues (RCD) task 788-805
  Abhishek Kaushik, Vishal Bhat Ramachandra, Gareth J. F. Jones

Event Detection from News in Indian Languages (EDNIL)

• Overview of the FIRE 2020 EDNIL Track: Event Detection from News in Indian Languages 806-816
  Bhargav Dave, Surupendu Gangopadhyay, Prasenjit Majumder, Pushpak Bhattacharya, Sudeshna Sarkar, Sobha Lalitha Devi
• Non-neural Structured Prediction for Event Detection from News in Indian Languages 817-822
  Shubhanshu Mishra
• ComMA@FIRE 2020: Exploring Multilingual Joint Training across different Classification Tasks 823-828
  Ritesh Kumar, Bornini Lahiri, Atul Kr. Ojha, Akanksha Bansal
• An Approach for Event Detection from News in Indian Languages using Linear SVC 829-834
  Fazlourrahman Balouchzahi, H L Shashirekha
• Event Detection from News in Indian Languages using Similarity Based Pattern Finding Approach 835-837
  Shubham Basak