=Paper=
{{Paper
|id=Vol-3159/Preface
|storemode=property
|title=Preface
|pdfUrl=https://ceur-ws.org/Vol-3159/Preface.pdf
|volume=Vol-3159
|authors=Parth Mehta,Thomas Mandl,Prasenjit Majumder,Mandar Mitra
|dblpUrl=https://dblp.org/rec/conf/fire/X21
}}
==Preface==
https://ceur-ws.org/Vol-3159/Preface.pdf
Preface
The 13th edition of the Forum for Information Retrieval Evaluation (FIRE 2021) was
organized virtually from 13-17th December 2021. FIRE 2021 saw 6 tracks and 9 sub-
tracks, with a record 138 paper submissions from all over the world.
Several tracks on hate speech detection, legal information access and mixed script
information retrieval continued from 2020 with the addition of a few new tracks. A
novel vaccine stance identification task was introduced as a part of the IrMiDis Track,
which focused on identifying the general public opinion about COVID-19 vaccines.
A track on Arabic language was reintroduced this year alongside other languages like
Hindi, Urdu, Bengali, Marathi, Tamil, Kannada, Malayalam and English.
The tracks and subtracks offered this year were:
Hate Speech and Offensive Content Identification in Indo-European Languages
Artificial Intelligence for Legal Assistance
Offensive Language Identification for Dravidian Languages in Code-Mixed Text
Arabic Misogyny Identification
Abusive and Threatening Language Detection Task in Urdu
Sentiment Analysis of Dravidian Languages in Code-Mixed Text
Fake News Detection in the Urdu Language
Information Retrieval from Microblogs during Disasters
Causality-driven Ad hoc Information Retrieval
We express our gratitude to all the track organizers for their dedication in organizing
these tracks and thus promoting scientific progress. We also thank all participants for
their enthusiastic participation and work on the tasks.
A special thanks to our sponsor TCS Research as well as to ‘ACM SIGIR Special
Interest Group on Information Retrieval’ for their continued support.
Parth Mehta
Thomas Mandl
Prasenjit Majumder
Mandar Mitra
List of Senior PC Members
Hate Speech and Offensive Content Identification in Indo-European Languages
(HASOC)
Thomas Mandl, University of Hildesheim, Germany
Sandip Modha, DA-IICT & LDRP-ITR, Gandhinagar, India
Gautam Kishore Shahi, University of Duisburg-Essen, Germany
Durgesh Nandini, University of Bamberg, Germany
Amit Kumar Jaiswal, University of Bedfordshire, UK
Prasenjit Majumder, DA-IICT, Gandhinagar, India
Johannes Schäfer, University of Hildesheim, Germany
Tharindu Ranasinghe, University of Wolverhampton, UK
Marcos Zampieri, Rochester Institute of Technology, USA
Artificial Intelligence for Legal Assistance (AILA)
Parth Mehta, Parmonic AI, USA
Paheli Bhattacharya, Indian Institute of Technology Kharagpur. India
Ayan Bandyopadhyay, TCG Crest Kolkata, India
Kripabandhu Ghosh, IISER Kolkata, India
Vedant Parikh, DA-IICT and Amazon, India
Upal Bhattacharya, IISER, Kolkata, India
Saptarshi Ghosh, IIT Kharagpur, India
Arindam Pal, CSIRO's Data 61, Sydney, Australia
Arnab Bhattacharya, IIT Kanpur, India
Prasenjit Majumder, DA-IICT, India
Offensive Language Identification for Dravidian Languages in Code-Mixed Text
Bharathi Raja Chakravarthi, National University of Ireland Galway, Ireland
Ratnasingam Sakuntharaj, Eastern University, Sri Lanka
Anand Kumar M, National Institute of Technology Karnataka Surathkal, India
Sajeetha Thavareesan, Eastern University, Sri Lanka
Premjith B, Amrita Vishwa Vidyapeetham, Coimbatore, India
John P. McCrae, National University of Ireland Galway, Ireland
Subalalitha C.N, SRM Institute Of Science And Technology, India
Thomas Mandl, University of Hildesheim, Germany
Abusive and Threatening Language Detection in Urdu
Maaz Amjad, IPN - Computing Research Center, Mexico
Sabur Butt, IPN - Computing Research Center, Mexico
Iqra Ameer, IPN - Computing Research Center, Mexico
Alisa Zhila, Ronin Institute for Independent Scholarship, United States
Oxana Vitman, IPN - Computing Research Center, Mexico
Grigori Sidorov, IPN - Computing Research Center, Mexico
Alexander Gelbukh, IPN - Computing Research Center, Mexico
Noman Ashraf, Mayo Clinic, United States
Andrey Labunets, Independent Researcher, United States
Arabic Misogyny Identification (ArMI)
Hala Mulki, ORSAM Center for Middle Eastern Studies, Turkey
Bilal Ghanem, University of Alberta, Canada
Sentiment Analysis of Dravidian Languages in Code-Mixed Text
Bharathi Raja Chakravarthi, National University of Ireland Galway, Ireland
Ruba Priyadharshini, Madurai Kamaraj University, India
Sajeetha Thavareesan, Eastern University, Sri Lanka
Dhivya Chinnappa, Thomson Reuters, USA
John P. McCrae, National University of Ireland Galway, Ireland
Elizabeth Sherly, IIIT-M Kerala, India
Thenmozhi D, SSN College of Engineering, India
Fake News Detection in the Urdu Language (UrduFake)
Maaz Amjad, IPN - Computing Research Center, Mexico
Sabur Butt, IPN - Computing Research Center, Mexico
Iqra Ameer, IPN - Computing Research Center, Mexico
Alisa Zhila, Ronin Institute for Independent Scholarship, United States
Oxana Vitman, IPN - Computing Research Center, Mexico
Grigori Sidorov, IPN - Computing Research Center, Mexico
Alexander Gelbukh, IPN - Computing Research Center, Mexico
Noman Ashraf, Mayo Clinic, United States
Andrey Labunets, Independent Researcher, United States
Information Retrieval from Microblogs during Disasters
Moumita Basu, UEM Kolkata, India
Soham Poddar, IIT Kharagpur, India
Saptarshi Ghosh, IIT Kharagpur, India
Kripabandhu Ghosh, IISER Kolkata, India
Causality-driven Ad hoc Information Retrieval (CAIR)
Debasis Ganguly, University of Glasgow
Suchana Datta, University College Dublin, Ireland
Dwaipayan Roy, IISER Kolkata, India
Derek Greene, University College Dublin, Ireland