Shared Tasks (2021)
FIRE: Hate Speech and Offensive Content Detection (HASOC)
Overview papers:
Overview of the HASOC Subtrack at FIRE 2021: HateSpeech and Offensive Content Identification in English and Indo-Aryan Languages
Thomas Mandl
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Sandip Modha
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Gautam Kishore Shahi
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Hiren Madhu
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Shrey Satapara
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Prasenjit Majumder
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Johannes Schäfer
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Tharindu Ranasinghe
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Marcos Zampieri
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Durgesh Nandini
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Amit Kumar Jaiswal
Overview of the HASOC Subtrack at FIRE 2021: Conversational Hate Speech Detection in Code-mixed language
Shrey Satapara
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Sandip Modha
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Thomas Mandl
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Hiren Madhu
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Prasenjit Majumder
Participant papers:
Exploring Transformer Based Models to Identify Hate Speech and Offensive Content in English and Indo-Aryan Languages
Somnath Banerjee
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Maulindu Sarkar
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Nancy Agrawal
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Punyajoy Saha
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Mithun Das
Hate Speech and Offensive Content Identification with Graph Convolutional Networks
Necva Bölücü
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Pelin Canbay
Fine-tuning of Pre-trained Transformers for Hate Offensive and Profane Content Detection in English and Marathi
Anna Glazkova
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Michael Kadantsev
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Maksim Glazkov
Leveraging Transformers for Hate Speech Detection in Conversational Code-Mixed Tweets
Zaki Mustafa Farooqi
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Sreyan Ghosh
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Rajiv Ratn Shah
Detecting Hate Speech on English and Indo-Aryan Languages with BERT and Ensemble learning
Camilo Caparrós-Laiz
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José Antonio García-Díaz
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Rafael Valencia-García
A Simple Language-Agnostic yet Strong Baseline System for Hate Speech and Offensive Content Identification
Yves Bestgen
Multilingual Hate Speech and Offensive Language Detection in English Hindi and Marathi languages
Kalaivani Adaikkan
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Thenmozhi Durairaj
Hate Speech and Offensive Content Identification in English Tweets
Ritesh Kumar
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Vishesh Gupta
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Rajendra Pamula
Machine Learning Models for Hate Speech and Offensive Language Identification for Indo-Aryan Language: Hindi
Purva Mankar
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Akshaya Gangurde
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Deptii Chaudhari
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Ambika Pawar
Probabilistic Impact Score Generation using Ktrain-BERT to Identify Hate Words from Twitter Discussions
Sourav Das
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Prasanta Mandal
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Sanjay Chatterji
Ensemble Based Machine Learning Models for Hate Speech and Offensive Content Identification
Asha Hegde
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Mudoor Devadas Anusha
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Hosahalli Lakshmaiah Shashirekha
Classification of Hate Speech and Offensive Content using an approach based on DistilBERT
Swetha Saseendran
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Sudharshan R
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Sreedhar V
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Sharan Giri
Hate Speech and Offensive Content Identification Based on Self-Attention
Yifan Xu
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Hui Ning
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Yutong Sun
Battling Hateful Content in Indic Languages HASOC'21
Aditya Kadam
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Anmol Goel
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Jivitesh Jain
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Jushaan Singh Kalra
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Mallika Subramanian
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Manvith Reddy
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Prashant Kodali
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T. H. Arjun
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Manish Shrivastava
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Ponnurangam Kumaraguru
A Feature Extraction Based Model for Hate Speech Identification
Salar Mohtaj
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Vera Schmitt
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Sebastian Möller
Attention Based BERT-FastText Model for Hate Speech and Offensive Content Identification in English and Hindi Languages
Krishanu Maity
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Abhishek Kumar
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Sriparna Saha
Detect Hate and Offensive Content in English and Indo-Aryan Languages based on Transformer
Yongyi Kui
Applying Transfer Learning using BERT-Based Models for Hate Speech Detection
Sakshi Kalra
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Kalit Naresh Inani
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Yashvardhan Sharma
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Gajendra Singh Chauhan
Hatespeech and Offensive Content Detection in Hindi Language using C-BiGRU
Sudharsana Kannan
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Jelena Mitrovic
Contextual Hate Speech Detection in Code Mixed Text using Transformer Based Approaches
Ravindra Nayak
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Raviraj Joshi
Offensive Language Identification Using Hindi-English Code-Mixed Tweets and Code-Mixed Data Augmentation
Md Saroar Jahan
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Mourad Oussalah
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Jhuma Kabir Mim
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Mominul Islam
Hate and Offensive Speech Detection in Hindi and Marathi
Abhishek Velankar
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Hrushikesh Patil
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Amol Gore
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Shubham Salunke
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Raviraj Joshi
Leveraging Text Generated from Emojis for Hate Speech and Offensive Content Identification
Nkwebi Peace Motlogelwa
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Edwin Thuma
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Monkgogi Mudongo
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Tebo Leburu-Dingalo
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Gontlafetse Mosweunyane
ALBERT for Hate Speech and Offensive Content Identification
Jun Zeng
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Li Xu
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Hao Wu
Hate and Offensive Language Detection using BERT for English Subtask A
Md Saroar Jahan
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Djamila Romaissa Beddiar
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Mourad Oussalah
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Nabil Arhab
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Yazid Bounab
Transformer Models for Offensive Language Identification in Marathi
Mayuresh Nene
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Kai North
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Tharindu Ranasinghe
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Marcos Zampieri
Offensive Text Detection on English Twitter with Deep Learning Models and Rule-Based Systems
Kinga Gémes
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Ádám Kovács
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Markus Reichel
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Gábor Recski
Multi-Task Learning with Sentiment Emotion and Target Detection to Recognize Hate Speech and Offensive Language
Flor Miriam Plaza del Arco
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Sercan Halat
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Sebastian Padó
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Roman Klinger
Hybrid Representation Fusion for Twitter Hate Speech Identification
Wentao Yu
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Benedikt T. Boenninghoff
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Dorothea Kolossa
Fine-tune BERT to Classify Hate Speech in Hindi English Code-Mixed Text
Shikha Mundra
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Nikhil Singh
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Namita Mittal
Hate and Offensive Speech Detection in Hindi Twitter Corpus
Ishali Jadhav
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Aditi Kanade
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Vishesh Waghmare
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Deptii Chaudhari
Multilingual Hate Speech and Offensive Content Detection using Modified Cross-entropy Loss
Arka Mitra
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Priyanshu Sankhala
biCourage: ngram and syntax GCNs for Hate Speech detection
Rodrigo Souza Wilkens
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Dimitri Ognibene
Detection of Hate or Offensive Phrase using Magnified Tf-Idf
Palash Nandi
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Dipankar Das
Machine Learning Models for Hate Speech Identification in Marathi Language
Disha Gajbhiye
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Swapnil Deshpande
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Prerna Ghante
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Abhijeet Kale
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Deptii Chaudhari
Gated Multi-task learning framework for text classification
Suyash Sangwan
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Lipika Dey
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Mohammad Shakir
Hate Speech Detection using LIME guided Ensemble Method and DistilBERT
Deepakindresh N
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Rohan Avireddy
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Aakash Ambalavanan
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B. Radhika Selvamani
Combining Textual Features for the Detection of Hateful and Offensive Language
Sherzod Hakimov
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Ralph Ewerth
One to Rule Them All: Towards Joint Indic Language Hate Speech Detection
Mehar Bhatia
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Tenzin Singhay Bhotia
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Akshat Agarwal
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Prakash Ramesh
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Shubham Gupta
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Kumar Shridhar
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Felix Laumann
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Ayushman Dash
Machine Learning Based Hate Speech Identification for English and Indo-Aryan Languages
Anirudh Anand
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Jeet Golecha
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Bharathi B
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Bhuvana Jayaraman
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Mirnalinee T. T
An Ensemble Model for Sentiment Classification on Code-Mixed Data in Dravidian Languages
S. R. Mithun Kumar
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Nihal Reddy
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Aruna Malapati
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Lov Kumar
Fine-tuning Pre-Trained Transformer based model for Hate Speech and Offensive Content Identification in English Indo-Aryan and Code-Mixed (English-Hindi) languages
Supriya Chanda
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S. Ujjwal
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Shayak Das
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Sukomal Pal
SVM for Hate Speech and Offensive Content Detection
Shyam Ratan
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Sonal Sinha
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Siddharth Singh
Hate Speech and Offensive Content Identification in Hindi and Marathi Language Tweets using Ensemble Techniques
Ratnavel Rajalakshmi
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Faerie Mattins
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Srivarshan S
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Preethi Reddy
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M. Anand Kumar
Conversational Hate-Speech detection in Code-Mixed Hindi-English Tweets
Ratnavel Rajalakshmi
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Srivarshan S
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Faerie Mattins
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Kaarthik E
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Prithvi Seshadri
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M. Anand Kumar
Classification of Hate Offensive and Profane content from Tweets using an Ensemble of Deep Contextualized and Domain Specific Representations
Basavraj Chinagundi
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Muskaan Singh
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Tirthankar Ghosal
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Prashant Singh Rana
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Guneet Singh Kohli
Detecting Fake News in URDU using Classical Supervised Machine Learning Methods and Word/Char N-grams
Yaakov HaCohen-Kerner
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Natan Manor
|
Netanel Bashan
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Elyasaf Dimant
Feature Selection with Pretrained-BERT for Hate Speech and Offensive Content Identification in English and Hindi Languages
Surya Agustian
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Reski Saputra
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Aidil Fadhilah
FIRE: Artificial Intelligence for Legal Assistance (AILA)
Overview papers:
Overview of the Third Shared Task on Artificial Intelligence for Legal Assistance at FIRE 2021
Vedant Parikh
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Upal Bhattacharya
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Parth Mehta
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Ayan Bandyopadhyay
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Paheli Bhattacharya
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Kripabandhu Ghosh
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Saptarshi Ghosh
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Arindam Pal
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Arnab Bhattacharya
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Prasenjit Majumder
Participant papers:
Categorizing Roles of Legal Texts via Sequence Tagging on Domain-Specific Language Models
Sourav Dutta
DistilRoBERTa Based Sentence Embedding for Rhetorical Role Labelling of Legal Case Documents
Deepthi Sudharsan
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Asmitha U
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Premjith B
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Soman K. P
Legal Text Classification and Summarization using Transformers and Joint Text Features
Shaz Furniturewala
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Racchit Jain
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Vijay Kumari
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Yashvardhan Sharma
Classification on Sentence Embeddings for LegalAssistance
Arka Mitra
Summarization of Indian Legal Judgement Documents via Ensembling of Contextual Embedding based MLP Models
Deepali Jain
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Malaya Dutta Borah
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Anupam Biswas
Simple Transformers in Rhetoric Role Labelling for Legal Judgements
Sai Shridhar Balamurali
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Kayalvizhi S
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Thenmozhi D
Rhetorical Role Labelling for Legal Judgements and Legal Document Summarization
Siddhartha Rusiya
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Aditya Sharma
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Debajyoti Debbarma
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Samarjit Debbarma
Rhetorical Role Labelling for Legal Judgements using fastText Classifier
Tebo Leburu-Dingalo
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Edwin Thuma
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Gontlafetse Mosweunyane
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Nkwebi Peace Motlogelwa
Automatic Detection of Rhetorical Role Labels using ERNIE2.0 and RoBERTa
Guneet Singh Kohli
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Prabsimran Kaur
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Jatin Bedi
FIRE: Offensive Language Identification for Dravidian Languages in Code-Mixed Text
Overview papers:
Overview of the HASOC-DravidianCodeMix Shared Task on Offensive Language Detection in Tamil and Malayalam
Bharathi Raja Chakravarthi
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Prasanna Kumar Kumaresan
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Ratnasingam Sakuntharaj
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Anand Kumar Madasamy
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Sajeetha Thavareesan
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B. Premjith
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Sreelakshmi K
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Subalalitha Chinnaudayar Navaneethakrishnan
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John P. McCrae
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Thomas Mandl
Participant papers:
CoMaTa OLI- Code-Mixed Malayalam and Tamil Offensive Language Identification
Fazlourrahman Balouchzahi
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S. Bashang
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Grigori Sidorov
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H. L. Shashirekha
Hate Speech and Offensive Language Identification on Multilingual Code Mixed Text using BERT
Snehaan Bhawal
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Pradeep Roy
|
Abhinav Kumar
Analyzing Social Media Content for Detection of Offensive Text
Pawan Kalyan Jada
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Konthala Yasaswini
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Karthik Puranik
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Anbukkarasi Sampath
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Sathiyaraj Thangasamy
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Kingston Pal Thamburaj
Hate and Offensive Content Identification from Dravidian Social Media Posts: A Deep Learning Approach
Anu Priya
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Abhinav Kumar
Offensive Language Identification on Multilingual Code Mixing Text
Jyoti Kumari
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Abhinav Kumar
Transformer Based Model For Offensive Content Recognition In Dravidian Languages
Divya S
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Sripriya N
Pretrained Transformers for Offensive Language Identification in Tanglish
Sean Benhur
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Kanchana Sivanraju
TOLD: Tamil Offensive Language Detection in Code-Mixed Social Media Comments using MBERT with Features based Selection
Kalaivani Adaikkan
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Thenmozhi Durairaj
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Aravindan Chandrabose
mBERT Based Model for Identification of Offensive Content in South Indian Languages
Shankar Biradar
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Sunil Saumya
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Arun Chauhan
Offensive Text Prediction using Machine Learning and Deep Learning Approaches
Bhuvana Jayaraman
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Mirnalinee T. T
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Karthik Raja Anandan
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Aarthi Suresh Kumar
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Anirudh Anand
Transformer Ensemble System for Detection of Offensive Content in Dravidian Languages
B. S. N. V. Chaitanya
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Karri Anjali
Offensive Language Identification using Machine Learning and Deep Learning Techniques
Jerin Mahibha C
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Kayalvizhi Sampath
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Durairaj Thenmozhi
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Arunima S.
Offensive Language Classification of Code-Mixed Tamil with Keras
Suchismita Tripathy
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Ameya Pathak
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Yashvardhan Sharma
Detection Offensive Tamil Texts using Machine Learning and Multilingual Transformers Models
Malliga Subramanian
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Shanmuga Vadivel Kogilavani
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Antonette Shibani
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Adhithiya G. J
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Deepti Ravi
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Gowthamkrishnan S
IndicBERT Based Approach for Sentiment Analysis on Code-Mixed Tamil Tweets
R. Ramesh Kannan
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Ratnavel Rajalakshmi
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Lokesh Kumar
RNN's VS TRANSFORMERS: Training Language Models on Deficit Datasets
Abhishek Kumar Gautam
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Bharathi B
FIRE: Abusive and Threatening Language Detection Task in Urdu
Overview papers:
Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2021
Maaz Amjad
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Sabur Butt
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Hamza Imam Amjad
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Alisa Zhila
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Grigori Sidorov
|
Alexander F. Gelbukh
Participant papers:
Abusive and Threatening Language Detection in Urdu using Supervised Machine Learning and Feature Combinations
Muhammad Humayoun
Urdu Abusive Language Detection using Machine Learning
Muhammad Owais Raza
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Qaisar Khan
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Ghulam Muhammad Soomro
Abusive and Threatening Language Detection from Urdu Social Media Posts: A machine learning approach
Abhinav Kumar
|
Sunil Saumya
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Pradeep Kumar Roy
Abusive and Threatening Language Detection in Urdu using Boosting Based and BERT Based Models: A Comparative Approach
Mithun Das
|
Somnath Banerjee
|
Punyajoy Saha
Detection of Threat Records by Analyzing the Tweets in Urdu Language Exploring Deep Learning Transformer - Based Models
Sakshi Kalra
|
Mehul Agrawal
|
Yashvardhan Sharma
Abusive and Threatening Language Detection in Native Urdu Script Tweets Exploring Four Conventional Machine Learning Techniques and MLP
K. A. Karthikraja
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Aarthi Suresh Kumar
|
B. Bharathi
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Jayaraman Bhuvana
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T. T. Mirnalinee
Detection of Threat Records by Analyzing the Tweets in Urdu Language Exploring Deep Learning Transformer - Based Models
Sakshi Kalra
|
Mehul Agrawal
|
Yashvardhan Sharma
FIRE: Arabic Misogyny Identification (ArMI)
Overview papers:
ArMI at FIRE 2021: Overview of the First Shared Task on Arabic Misogyny Identification
Hala Mulki
|
Bilal Ghanem
Participant papers:
A Deep Learning Approach for Identification of Arabic Misogyny from Tweets
Abhinav Kumar
|
Pradeep Kumar Roy
|
Jyoti Prakash Singh
Arabic Misogyny Identification
Fazlourrahman Balouchzahi
|
Grigori Sidorov
|
Hosahalli Lakshmaiah Shashirekha
Context-aware Language Modeling for Arabic Misogyny Identification
Istabrak Abbes
|
Eya Nakache
|
Moez BenHajhmida
Deep Multi-Task Models for Misogyny Identification and Categorization on Arabic Social Media
Abdelkader El Mahdaouy
|
Abdellah El Mekki
|
Ahmed Oumar
|
Hajar Mousannif
|
Ismail Berrada
Detecting Misogyny in Arabic Tweets
Abdusalam Nwesri
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Stephen Wu
|
Harmain Harmain
iCompass Working Notes for Arabic Misogyny Identification
Abir Messaoudi
|
Chayma Fourati
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Mayssa Kchaou
|
Hatem Haddad
FIRE: Sentiment Analysis of Dravidian Languages in Code-Mixed Text
Participant papers:
Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Text
Bharathi Raja Chakravarthi
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Ruba Priyadharshini
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Sajeetha Thavareesan
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Dhivya Chinnappa
|
Durairaj Thenmozhi
|
Elizabeth Sherly
|
John P. McCrae
|
Adeep Hande
|
Rahul Ponnusamy
|
Shubhanker Banerjee
|
Charangan Vasantharajan
CoSaD- Code-Mixed Sentiments Analysis for Dravidian Languages
Fazlourrahman Balouchzahi
|
Hosahalli Lakshmaiah Shashirekha
|
Grigori Sidorov
Sentiment Classification on Bilingual Code-Mixed Texts for Dravidian Languages using Machine Learning Methods
Rashmi K. B.
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Guruprasad H. S.
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Shambhavi B. R.
Sentiment Analysis on Multilingual Code-Mixed Kannada Language
Satyam Dutta
|
Himanshi Agrawal
|
Pradeep Kumar Roy
Automatic Detecting the Sentiment of Code-Mixed Text by Pre-training Model
Yang Bai
|
Bangyuan Zhang
|
Wanli Chen
|
Yongjie Gu
|
Tongfeng Guan
|
Qisong Shi
Transformer based Sentiment Analysis in Dravidian Languages
Pawan Kalyan Jada
|
D. Sashidhar Reddy
|
Konthala Yasaswini
|
Arunaggiri Pandian K
|
Prabakaran Chandran
|
Anbukkarasi Sampath
|
Sathiyaraj Thangasamy
Transliterate or Translate? Sentiment Analysis of Code-Mixed Text in Dravidian Languages
Karthik Puranik
|
Bharathi B
|
Senthil Kumar B
An Ensemble-Based Model for Sentiment Analysis of Dravidian Code-Mixed Social Media Posts
Abhinav Kumar
|
Sunil Saumya
|
Jyoti Prakash Singh
A Deep Neural Network-based Model for the Sentiment Analysis of Dravidian Code-mixed Social Media Posts
Jyoti Kumari
|
Abhinav Kumar
ECMAG - Ensemble of CNN and Multi-Head Attention with Bi-GRU for Sentiment Analysis in Code-Mixed Data
Dhanasekaran Prasannakumaran
|
Jappeswaran Balasubramanian Sideshwar
|
Durairaj Thenmozhi
Comparative Analysis for Offensive Language Identification of Tamil Text using SVM and Logistic Classifier
Prabhu Ram. N
|
Meeradevi. T
|
Vibin Mammen Vinod
|
Gothainayaki A
|
Anusha S
|
Agalya T
Sentiment Analysis on Code-mixed Dravidian Languages A Non-Linguistic Approach
Prasad A. Joshi
|
Varsha M. Pathak
BiLSTM-Sentiments Analysis in Code Mixed Dravidian Languages
Mudoor Devadas Anusha
|
Hosahalli Lakshmaiah Shashirekha
Sentiment Analysis Model For Code-Mixed Tamil Language
N. Sripriya
|
S. Divya
Sentiment Analysis of Dravidian-CodeMix Language
Ankit Kumar Mishra
|
Sunil Saumya
|
Abhinav Kumar
Multilingual Sentiment Analysis in Tamil Malayalam and Kannada code-mixed social media posts using MBERT
Adaikkan Kalaivani
|
Durairaj Thenmozhi
Deep Learning Based Sentiment analysis for MalayalamTamil and Kannada languages
Pavan Kumar P. H. V
|
Premjith B
|
Sanjanasri J. P.
|
Soman K. P
Machine Learning Based Approach for Sentiment Analysis on Multilingual Code Mixing Text
B. Bharathi
|
G. U. Samyuktha
Sentiment Analysis on Tamil Code-Mixed Text using Bi-LSTM
Pradeep Kumar Roy
|
Abhinav Kumar
Is Meta Embedding Better than Pre-Trained Word Embedding to Perform Sentiment Analysis for Dravidian Languages in Code-Mixed Text?
Supriya Chanda
|
Rajat Pratap Singh
|
Sukomal Pal
Voting Ensemble Model Based Malayalam-English Sentiment Analysis on Code-Mixed Data
K. Nimmi
|
B. Janet
Sentiment Analysis on Dravidian Code-Mixed YouTube Comments using Paraphrase XLM-RoBERTa Model
Yandrapati Prakash Babu
|
Rajagopal Eswari
Sentiment Analysis in Dravidian Code-Mixed YouTube Comments and Posts
Sanjeepan Sivapiran
|
Charangan Vasantharajan
|
Uthayasanker Thayasivam
An Ensemble Model for Sentiment Classification on Code-Mixed Data in Dravidian Languages
S. R. Mithun Kumar
|
Nihal Reddy
|
Aruna Malapati
|
Lov Kumar
Sentiment Analysis using Cross Lingual Word Embedding Model
Jerin Mahibha C
|
Kayalvizhi Sampath
|
Durairaj Thenmozhi
FIRE: Fake News Detection in the Urdu Language (UrduFake)
Overview papers:
Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2021
Maaz Amjad
|
Sabur Butt
|
Hamza Imam Amjad
|
Alisa Zhila
|
Grigori Sidorov
|
Alexander F. Gelbukh
Participant papers:
Ensembled Feature Selection for Urdu Fake News Detection
Fazlourrahman Balouchzahi
|
Hosahalli Lakshmaiah Shashirekha
|
Grigori Sidorov
Automatic Fake News Detection in Urdu Language using Transformers
Iqra Ameer
|
Claudia Porto Capetillo
|
Helena Gómez-Adorno
|
Grigori Sidorov
Urdu Fake News Detection using TF-IDF Features and TextCNN
Muhammad Abdullah Ilyas
|
Khurram Shahzad
Ensembling Machine Learning Models for Urdu Fake News Detection
Hammad Akram
|
Khurram Shahzad
A Simple N-Gram Model for Urdu Fake News Detection
Hamada Nayel
|
Ghada Amer
The 2021 Urdu Fake News Detection Task using Supervised Machine Learning and Feature Combinations
Muhammad Humayoun
Detecting Fake News in URDU using Classical Supervised Machine Learning Methods and Word/Char N-grams
Yaakov HaCohen-Kerner
|
Natan Manor
|
Netanel Bashan
|
Elyasaf Dimant
A Machine Learning Approach for Fake News Detection from Urdu Social Media Posts
Abhinav Kumar
|
Jyoti Kumari
Ensembling of Various Transformer Based Models for the Fake News Detection Task in the Urdu Language
Sakshi Kalraa
|
Preetika Vermaa
|
Yashvardhan Sharma
|
Gajendra Singh Chauhan
Fake News Detection in Urdu Language using BERT
Snehaan Bhawal
|
Pradeep Kumar Roy
Urdu Fake News Detection Using Ensemble of Machine Learning Models
Asha Hegde
|
Hosahalli Lakshmaiah Shashirekha
FIRE: Information Retrieval from Microblogs during Disasters (IRMiDis)
Participant papers:
VaccineBERT: BERT for COVID-19 Vaccine Tweet Classification
Shivangi Bithel
|
Samidha Verma
Identifying Situational Information during Mass Emergency
Sumit Anand
|
Mehuly Chakraborthy
|
Diptaraj Sen
COVID Vaccine Stance Classification
Meghna Chakraborty
|
Sk. Aftab Aman
Bidirectional Encoder Representations from Transformers for the COVID-19 vaccine stance classification
Abhinav Kumar
|
Pradeep Kumar Roy
|
Jyoti Prakash Singh
Analyzing COVID-19 Vaccination
Poulami Ghosh
|
Sayani Ghosh
Retrieval of Actionable Information during Mass Emergency: A Classification Approach
Aayush Chowdhury
|
Aman Choudhary
|
Aishwarya Roy
FIRE: Causality-driven Ad hoc Information Retrieval (CAIR)
Overview papers:
Overview of the Causality-driven Adhoc Information Retrieval (CAIR) task at FIRE-2021
Suchana Datta
|
Debasis Ganguly
|
Dwaipayan Roy
|
Derek Greene
Participant papers:
Causal Document Retrieval: An Analytical Investigation
Pankaj Dadure
|
Partha Pakray
|
Sivaji Bandyopadhyay
A Semantic Search Pipeline for Causality-driven Adhoc Information Retrieval
Dhairya Dalal
|
Sharmi Dev Gupta
|
Bentolhoda Binaei