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| 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 |
