FIRE 2020

Forum for Information Retrieval Evaluation

Virtual Event Hosted by IDRBT, Hyderabad

16th-20th December

To download schedule, please click here

All time written are in IST
DAY 1: Wednesday, 16 December 2020
17:00-17:15 Opening Remarks
17:15-20:05 Track overview (~15 minutes each)
  • Artificial Intelligence for Legal Assistance (Paheli Bhattacharya)
  • Authorship Identification of SOurce COde (Ali Fadel)
  • Anaphora Resolution from Social Media Text in Indian Languages (Sobha Lalita Devi)
  • Cause-Effect Relation Extraction from Text (Tirthankar Dasgupta)
  • ----- Break (10 min) -----
  • Causality-driven Ad hoc Information Retrieval (Debasis Ganguly)
  • Hate Speech and Offensive Content Identification in Indo-European Languages (Thomas Mandl)
  • Sentiment Analysis of Dravidian Languages in Code-Mixed Text (Bharathi Raja Asoka Chakravarthi)
  • Event Detection from News in Indian Languages (Bhargav Dave)
  • ----- Break (10 min) -----
  • Retrieval from Conversational Dialogues (Debasis Ganguly and Procheta Sen)
  • Fake News Detection in the Urdu Language (Maaz Amjad)
20:15-21:00 Short Paper presentations (~10 minutes each)
  • On the Evaluation of Data Fusion for Information Retrieval (David Lillis)
  • Performance Gain in Low Resource MT with Transfer Learning:An Analysis concerning Language Families (Sainik Kumar Mahata)
  • Unsupervised Legal Concept Extraction from Indian Case Documents using Statutes (Riya Sanjay Podder)
  • Evaluating Professional Search: A German Construction Law Use Case (Wei Li)

DAY 2: Thursday, 17 December 2020
16:30-19:10 Code-Mixed Text Presentations(~10 minutes each)
  • SSN_NLP_MLRG@Dravidian-CodeMix-FIRE2020: Sentiment Code-Mixed Text Classification in Tamil and Malayalam using ULMFiT (Thenmozhi D)
  • Sentiment Analysis of YouTube Comments for Dravidian Languages (Judith Jeyafreeda)
  • MUCS@Dravidian-CodeMix-FIRE2020:SACO-SentimentsAnalysis for CodeMix Text (Fazlourrahman Balouchzahi)
  • JUNLP@Dravidian-CodeMix-FIRE2020: Sentiment Classification of Code-Mixed Tweets using Bi-Directional RNN and Language Tags (Sainik Kumar Mahata)
  • bits2020@Dravidian-CodeMix-FIRE2020: Sub-Word Level Sentiment Analysis of Dravidian Code Mixed Data (Asrita Venkata Mandalam)
  • HRS-TECHIE@Dravidian-CodeMix-FIRE2020 Social Media Sentiment Analysis for Dravidian Languages using Machine Learning, Deep Learning and Ensemble Approaches (Hari Krishnan Ganesan)
  • ----- Break (10 min) -----
  • NUIG-Shubhanker@Dravidian-CodeMix- FIRE2020:Sentiment Analysis of Code-Mixed Dravidian text using XLNet (Shubhanker Banerjee)
  • A Sentiment Polarity Classifier for YouTube Comments with Code-switching between Tamil, Malayalam and English (Balasundararaman L)
  • NITP-AI-NLP@Dravidian-CodeMix-FIRE2020: A Hybrid CNN and Bi-LSTM Network for Sentiment Analysis of Dravidian Code-Mixed Social Media Posts (Abhinav Kumar)
  • PITS@Dravidian-CodeMix-FIRE2020: Traditional Approach to Noisy Code-Mixed Sentiment Analysis (Nikita Kanwar)
  • IRLab@IITBHU@Dravidian-CodeMix-FIRE2020: Sentiment Analysis for Dravidian Languages in Code-Mixed Text (Supriya Chanda)
  • A machine-learning approach using n-grams in sentiment analysis for code-mixed texts: A case study in Tamil and Malayalam (Parameswari Krishnamurthy)
  • ----- Break (10 min) -----
  • A Meta Embedding and Transformer model for Code-Mixed Sentiment Analysis on Social Media Text (Suman Dowlager)
  • CIA_NITT@Dravidian-CodeMix-FIRE2020: Malayalam-English Code Mixed Sentiment Analysis Using Sentence BERT And Sentiment Features (Yandrapatti Prakash Babu)
19:10-19:20 Break
19:20-20:05 Ellen Voorhees -TREC-COVID: Building a Pandemic IR Test Collection
20:20-20:30 Anaphora Resolution from Social Media Text in Indian Languages Track presentations (~10 minutes each)
  • Attention based Anaphora Resolution for Code-Mixed Social Media Text for Hindi Language (Sandhya Singh)
20:30-20:40 RCD Track presentation (~10 minutes each)
  • DCU at the FIRE 2020 Retrieval from Conversational Dialogues (RCD) task (Abhisek Kaushik)
20:45-21:05 UrduFake Track presentations (~10 minutes each)
  • Urdu Fake News Detection using Generalized Autoregressors (Abdullah Faiz Ur Rahman Khilji)
  • Learning Models for Urdu Fake News Detection (Fazlourrahman Balouchzahi)

Day 3, Friday 18 Dec 2020
11:00 - 2:00 Women in Information Retrieval - WIRe 2020
17:00-17:45 Paul Clough - Algorithmic Bias, Transparency and Fairness: What is it, Why Does it Matter and What’s Being Done About it?
17:45-18:15 HASOC : Dravidian-CodeMix Track Presentations (~10 minutes each)
  • HASOC-Dravidian-CodeMix-FIRE-2020: Multilingual Offensive Speech Detection in Code-mixed and Romanized Text (Siva Sai)
  • IIITG-ADBU@HASOC-Dravidian-CodeMix-FIRE2020: Offensive Content Detection in Code-Mixed Dravidian Text (Arup Baruah)
  • CFILT IIT Bombay@HASOC-Dravidian-CodeMix FIRE 2020: Assisting ensemble of transformers with random transliteration (Pankaj Singh)
  • Gauravarora@HASOC-Dravidian-CodeMix- FIRE2020: Pre-training ULMFiT on Synthetically Generated Code-Mixed Data for Hate Speech Detection (Gaurav Arora)
  • ----- Break (10 min) -----
  • Ajees@HASOC-Dravidian-CodeMix-FIRE2020 (Ajees)
  • CENMates@HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification on Code-mixed Social Media Comments (Veena P V)
  • CUSAT_NLP@HASOC-Dravidian-CodeMix-FIRE2020: Identifying Offensive Language from Manglish Tweets (Sara Renjit)
  • HKBCNMUJAL@HASOC-Dravidian-CodeMix-FIRE2020: Using Machine Learning for Detection of Hate Speech and Offensive Codemix Social Media text (Prasad Joshi)
18:20-19:05 Adam Wyner: Developing Resources for Legal Information Retrieval
20:00-21:00 Steering Committee meeting

Day 4, Saturday 19 Dec 2020
16:30-17:00 Long Paper presentations (~15 minutes each)
  • Fine-Tuning Textrank for Legal Document Summarization: A Bayesian Optimization Based Approach (Deepali Jain)
  • Bi-directional Encoder Representation of Transformer model for Sequential Music Recommender System (Naina Yadav)
17:00-17:45 Ajit Balakrishnan - Challenges in Deep Learning in the Legal Domain...and some solutions
18:00-19:20 AILA Track presentations (~10 minutes each)
  • Artificial Intelligence as Legal Research Assistant (Jhanvi Arora)
  • Rhetorical Role Labelling for Legal Judgements Using ROBERTA (Soumayan)
  • Best Matching Algorithm to Identify and Rank the Relevant Statutes (Kayalvizhi)
  • UB at FIRE 2020 Precedent and Statute Retrieval (Monkgogi Mudongo)
  • ----- Break (10 min) -----
  • FIRE2020 AILA Track: Legal domain search with minimal domain knowledge (Tobias Fink)
  • A Study on Lemma vs Stem for Legal Information Retrieval Using R Tidyverse (Giorgio Maria Di Nunzio)
  • Document Level Embeddings for Identifying Similar Legal Cases and Laws (Intisar Almuslim)
19:30-20:00 AISOCO Track presentations (~10 minutes each)
  • Embedding-based Authorship Identification of Source Code (Asrita Venkata Mandalam)
  • UoB at AI-SOCO 2020: Approaches to Source Code Classification and the Surprising Power of n-grams (Alexander Crosby)
20:00-20:15 Break
20:15-20:35 CAIR Track presentations (~10 minutes each)
  • Causality Detection for Causality-driven Adhoc Information Retrieval Task (Chuan-An Lin)
  • Preliminary Investigation on Causality Information Retrieval (Pankaj Dadure)
20:40-21:00 CEREX Track presentations (~10 minutes each)
  • Feature Fusion with Hand-crafted and Transfer Learning Embeddings for Cause-Effect Relation Extraction (Abu Nowshed Chy)
  • ssn_nlp@FIRE2020 : Automatic extraction of causal relations using deep learning and machine translation approaches (S Arunima)

Day 5, Sunday 20 Dec 2020
17:00-20:15 HASOC Track presentations (~10 minutes each)
  • Hate Speech Detection using Machine Learning and Transfer learning based approaches (Surendra T S)
  • Joint multitask learning of multilingual hate speech and offensive content detection system (Pankaj Singh)
  • Learning Approaches for Hate Speech and Offensive Content Identification (Fazlourrahman Balouchzahi)
  • Multilingual Hate Speech and Offensive Content Detection in Indo-European Languages using ALBERT (Kalaivani A)
  • ALBERT-Based Model for Hate Speech and Offensive Content Identification (Yingjia Zhao)
  • Hate speech detection based on ALBERT-DPCNN (Siyao Zhou)
  • ----- Break (10 min) -----
  • Multilingual Hate Speechand Offensive Content Identification based on XLM-RoBERTa (Xiaozhi Ou)
  • A Hybrid approach for Hate and Offensive Content Identification in Multilingual Text (R. Rajalakshmi)
  • Fine-tuning Pre-TrainedTransformer Language Models for Hate Speech and Offensive Content Identification in Indo-EuropeanLanguages (BoHuang)
  • BERT Models for Hate Speech Identification in Indo-European Languages (Kirti Kumari)
  • Fine-tune XML-RoBERTa for Hate Speech Identification (Li Xu)
  • HASOC 2020: Deep learning model for hate-speech identification in Indo-European languages (Shivangi Srivastava)
  • ----- Break (10 min) -----
  • Identifying offensive content in Indo-European languages (Sunil Saumya)
  • Multi-Top_k Self-Attention with K-Max pooling for discrimination between Hate, profane and offensive posts (Huiping Shi)
  • Detecting Hate Speech and Offensive Content in German Languages with BERT and Ensembles (Qinyu Que)
  • Bert Fine-tuning for the Identification of Hate Speech and Offensive Language in Tweets (Ezike Tochukwu)
  • ALBERT-based Max Ensemble with Self-training for Identifying Hate Speech and Offensive Content in Indo-European Languages (Junyi Li)
  • Leveraging Multilingual Transformers for Hate Speech Detection (Ujwal Narayan)
  • Deep Learning with RoBERTa and Random Forest for Hate Speech and Offensive Content Identification in Indo-European Languages (Biswarup Ray)
20:20-21:00 EDNIL Track Presentations: (~10 minutes each)
  • Non-neural Structured Prediction for Event Detection from News in Indian Languages (Shubhanshu Mishra)
  • Event Detection Using Deep Learning Based Techniques (Anand Subramanian)
  • EComMA@FIRE 2020: Exploring Multilingual Joint Training across different Classification Tasks (Ritesh Kumar)
  • An Approach for Event Detection from News in Indian Languages using Linear SVC (Fazlourrahman Balouchzahi)
21:00 Closing Remarks