CEUR-WS.org/Vol-3395 - FIRE 2022 Working Notes

CEUR-WS.org/Vol-3395 - FIRE 2022 Working Notes
Vol-3395
urn:nbn:de:0074-3395-9
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Copyright ©
2022
for the volume
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CC BY 4.0
FIRE 2022
FIRE 2022 Working Notes
Working Notes of FIRE 2022 - Forum for Information Retrieval Evaluation
Kolkata, India, December 9-13, 2022
Edited by
Kripabandhu Ghosh
****
Thomas Mandl
**
Prasenjit Majumder
Mandar Mitra
***
Dhirubhai Ambani Institute of Information and Communication Technology
, Gandhinagar, India
**
University of Hildesheim
, Hildesheim, Germany
***
Indian Statistical Institute
, Kolkata, India
****
Indian Institute of Science Education and Research
, Kolkata, India
Table of Contents
Preface
Kripabandhu Ghosh
Thomas Mandl
Prasenjit Majumder
Mandar Mitra
Information Retrieval in Software Engineering (IRSE)
Overview of the IRSE track at FIRE 2022: Information Retrieval in Software Engineering
1-9
Srijoni Majumdar
Ayan Bandyopadhyay
Samiran Chattopadhyay
Partha Pratim Das
Paul D Clough
Prasenjit Majumder
Prediction of Useless and irrelevant Comments in C Language as per Surrounding Code Context
10-14
Bikram Ghosh
Pankaj Chowdhury
Utpal Sarkar
Exploring Transformer-Based Models for Automatic Useful Code Comments Detection
15-23
Mithun Das
Subhadeep Chatterjee
Information Retrieval in Software Engineering utilizing a pre-trained BERT model
24-28
Koyel Ghosh
Apurbalal Senapati
Efficacy of Pretrained Architectures for Code Comment Usefulness Prediction
29-33
Sagar Joshi
Sumanth Balaji
Aditya Hari
Abhijeeth Singam
Vasudeva Varma
Evaluating Usefulness of C Comments using SVM and Naïve Bayes Classifier
34-38
Aritra Mitra
Using Transformer-based Pre-trained Language Model for Automated Evaluation of Comments to Aid Software Maintenance
39-52
Debjyoti Paul
Bitan Biswas
Rudrani Paul
Source Code Comment Classification using Logistic Regression and Support Vector Machine
53-59
Soumen Paul
Identification of the Relevance of Comments in Codes Using Bag of Words and Transformer Based Models
60-65
Sruthi S
Tanmay Basu
Automatic comment usefulness judgement via SVM and ANN using contextual token representations
66-73
Yogesh Kumar Sahu
Ayan Das
Comments in Source Code: A classification approach
74-79
Amisha Shingala
Namrata Shroff
Sentiment analysis and homophobia detection of youtube comments in code-mixed Dravidian languages
Overview of the Shared Task on Sentiment Analysis and Homophobia Detection of YouTube Comments in Code-Mixed Dravidian Languages
80-91
Kogilavani Shanmugavadivel
Malliga Subramanian
Prasanna Kumar Kumaresan
Bharathi Raja Chakravarthi
B Bharathi
Subalalitha Chinnaudayar Navaneethakrishnan
Lavanya Sambath Kumar
Thomas Mandl
Rahul Ponnusamy
Vasanth Palanikumar
Manoj J Balaji
Sentiment and Homophobia Detection on YouTube using Ensemble Machine Learning Techniques
92-99
Sunil Saumya
Vanshita Jha
Shankar Biradar
Sentiment Analysis of YouTube comments in Dravidian Code-Mixed Language using Deep Neural Network
100-105
N. Muhammad Fadil
Lavanya S K
A System For Detecting Abusive Contents Against LGBT Community Using Deep Learning Based Transformer Models
106-116
Deepalakshmi Manikandan
Malliga Subramanian
Kogilavani Shanmugavadivel
Homophobia and Transphobia Detection of Youtube Comments in Code-Mixed Dravidian Languages using Deep learning
117-123
Pranith P
V Samhita
D Sarath
Durairaj Thenmozhi
Sentiment Analysis and Homophobia detection of YouTube comments in Code-Mixed Dravidian Languages using machine learning and transformer models
124-137
Josephine Varsha
B. Bharathi
A. Meenakshi
A Study on Sentimental Analysis, Homophobia-Transphobia Detection for Dravidian Languages
138-146
Manoj Balaji J
Chinmaya HS
Leveraging Dynamic Meta Embedding for Sentiment Analysis and Detection of Homophobic/Transphobic Content in Code-mixed Dravidian Languages
147-156
Asha Hegde
Shashirekha Hosahalli Lakshmaiah
Sentiment Analysis and Homophobia detection of YouTube comments
157-168
Sushil Ugursandi
Anand Kumar M
Homophobia, Transphobia Detection in Tamil, Malayalam, English Languages using Logistic Regression and Code-Mixed Data using AWD-LSTM
169-176
Sivaprasath S
Lavanya Sambath Kumar
Sajeetha Thavareesan
A Sequential DNN for Sentiment Analysis of Dravidian Code-Mixed Language Comments on YouTube
177-183
Aaron Samuel A
Lavanya Sambath Kumar
Subalalitha Chinnaudayar Navaneethakrishnan
Ratnasingam Sakuntharaj
Sentiment Analysis and Homophobia detection of Code-Mixed Dravidian Languages leveraging pre-trained model and word-level language tag
184-195
Supriya Chanda
Anshika Mishra
Sukomal Pal
Leveraging Sentiment Data for the Detection of Homophobic/Transphobic Content in a Multi-Task, Multi-Lingual Setting Using Transformers
196-207
Filip Nilsson
Sana Sabah Al-Azzawi
György Kovács
Anaphora Resolution from Social Media Text in Indian Languages (SocAnaRes-IL)
Anaphora Resolution from Social Media Text in Indian Languages (SocAnaRes-IL) : 2 nd Edition-Overview
208-214
Sobha Lalitha Devi
Anaphora Resolution from Social Media Text
215-219
Vijay Kumari
Shaz Furniturewala
Gautam Bhambhani
Yashvardhan Sharma
EmoThreat: Emotions & Threat Detection in Urdu
Overview of EmoThreat: Emotions and Threat Detection in Urdu at FIRE 2022
220-230
Sabur Butt
Maaz Amjad
Fazlourrahman Balouchzahi
Noman Ashraf
Rajesh Sharma
Grigori Sidorov
Alexander Gelbukh
Multi-Label Emotion Classification in Urdu
231-237
Dejah Madhusankar
Avanthika Karthikeyan
Bharathi B
Emotions & Threat Detection in Urdu using Transformer Based Models
238-246
Anik Basu Bhaumik
Mithun Das
Exploring Language Independent Linguistic Features and Transformers in a Multi-label Emotion Detection Challenge in Urdu using Nastalīq Script
247-255
José Antonio García Díaz
Manuel Valencia-García
Gema Alcaraz Mármol
Rafael Valencia-Garcia
Learning Models for Emotion Analysis and Threatening Language Detection in Urdu Tweets
256-265
Asha Hegde
Hosahalli Lakshmaiah Shashirekha
Emotional Threat Speech Detection in Urdu Language using BERT Variants
266-275
Sakshi Kalra
Kushank Maheshwari
Saransh Goel
Yashvardhan Sharma
Applying TF-IDF and BERT-based Variants under Multilabel Classification for Emotion Detection in Urdu Language
276-285
Sakshi Kalra
Saransh Goel
Kushank Maheshwari
Yashvardhan Sharma
Shresht Bhowmick
Notebook for Emotions & Threat Detection in Urdu @ FIRE 2022
286-290
Bin Wang
Hui Ning
Advantages of XLM-R Model for Urdu Sentiment Multi-Classification
291-297
Mingcan Guo
Zhongyuan Han
Leilei Kong
Zhijie Zhang
Zengyao Li
Haoyang Chen
Haoliang Qi
Leveraging BERT, MWE, and ML Models to Detect Emotions and Threats in Urdu
298-308
Bénédicte Diot-Parvaz Ahmad
Pierre Magistry
Ilaine Wang
Damien Nouvel
Information Retrieval from Microblogs during Disasters (IRMiDis)
Overview of the FIRE 2022 track: Information Retrieval from Microblogs during Disasters (IRMiDis)
309-313
Soham Poddar
Moumita Basu
Saptarshi Ghosh
Kripabandhu Ghosh
Classification of Covid-19 Vaccine Opinion and Detection of Symptom-Reporting on Twitter Using Neural Networks
314-319
Vishal Nair
COVID-19 vaccine stance classification from tweets
320-324
Sumanth Balaji
Sagar Joshi
Aditya Hari
Abhijeeth Singam
Vasudeva Varma
CTC: COVID-19 Tweet Classification using CT-BERT
325-330
Shivangi Bithel
Need for Vision: A data-centric approach towards analysing impact of COVID-19
331-336
Kaustav Das
Covid-19 Vaccine Stance Detection using Natural Language Processing and Machine Learning Algorithms.
337-345
Rashi Sharma
Harsh Tita
Classification of COVID-19 Tweets
346-348
Sumana Madasu
A Machine Learning Approach for COVID-19 Tweet Classification
349-353
Subinay Adhikary
A Classification Approach to Detect Public Sentiments towards COVID-19 Vaccines
354-360
Karabo Johannes Ntwaagae
Nkwebi Peace Motlogelwa
Edwin Thuma
Tebo Leburu-Dingalo
Gontlafetse Mosweunyane
Detecting COVID-19 Vaccine Stance and Symptom Reporting from Tweets using Contextual Embeddings
361-368
Akshit Bansal
Rohit Jain
Jatin Bedi
Indian Language Summarization (ILSUM)
Findings of the First Shared Task on Indian Language Summarization (ILSUM): Approaches Challenges and the Path Ahead
369-382
Shrey Satapara
Bhavan Modha
Sandip Modha
Parth Mehta
Deep Learning based Abstractive Summarization for English Language
383-392
Sangita Singh
Jyoti Prakash Singh
Akshay Deepak
Indian Language Summarization using Pretrained Sequence-to-Sequence Models
393-402
Ashok Urlana
Sahil Manoj Bhatt
Nirmal Surange
Manish Shrivastava
Extractive Text Summarization Using Word Frequency Algorithm for English Text
403-408
Abinaya N
Anbukkarasi S
Varadhaganapathy S
Abstractive Text Summarization for Hindi Language using IndicBART
409-417
Arjit Agarwal
Soham Naik
Sheetal Sonawane
An Extractive Approach for Automated Summarization of Indian Languages using Clustering Techniques
418-423
Kirti Kumari
Ranjana Kumari
Text summarization for Indian languages using pre-trained models
424-434
Aishwarya Krishnakumar
Fathima Naushin A R
Mrithula K L
B Bharathi
Summarizing Indian Languages using Multilingual Transformers based Models
435-442
Dhaval Taunk
Vasudeva Varma
Exploring Text Summarization Models for Indian Languages
443-448
Shayak Chakraborty
Darsh Kaushik
Sahinur Rahman Laskar
Partha Pakray
Implementing Deep Learning-Based Approaches for Article Summarization in Indian Languages
449-463
Rahul Tangsali
Aabha Pingle
Aditya Vyawahare
Isha Joshi
Raviraj Joshi
Extractive Text Summarization using Meta-heuristic Approach
464-474
Doppalapudi Venkata Pavan Kumar
Srigadha Shreyas Raj
Pradeepika Verma
Sukomal Pal
Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages (HASOC)
Overview of the HASOC Subtrack at FIRE 2022: Identification of Conversational Hate-Speech in Hindi-English Code-Mixed and German Language
475-488
Sandip Modha
Thomas Mandl
Prasenjit Majumder
Shrey Satapara
Tithi Patel
Hiren Madhu
Overview of the HASOC Subtrack at FIRE 2022: Offensive Language Identification in Marathi
489-501
Tharindu Ranasinghe
Kai North
Damith Premasiri
Marcos Zampieri
Coarse and Fine-Grained Conversational Hate Speech and Offensive Content Identification in Code-Mixed Languages using Fine-Tuned Multilingual Embedding
502-512
Supriya Chanda
Sacchit D Sheth
Sukomal Pal
An Analysis of Transformer-based Models for Code-mixed Conversational Hate-speech Identification
513-521
Neeraj Kumar Singh
Utpal Garain
A Twitter BERT Approach for Offensive Language Detection in Marathi
522-528
Tanmay Chavan
Shantanu Patankar
Aditya Kane
Omkar Gokhale
Raviraj Joshi
Hate Speech and Offensive Content Identification in Multiple Languages using machine learning algorithms
529-541
Dikshitha Vani V
B. Bharathi
Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages using Machine Learning Models
542-551
Gunjan Kumar
Jyoti Prakash Singh
Multi-Lingual Contextual Hate Speech Detection Using Transformer-Based Ensembles
552-562
Maria Luisa Ripoll
Fadi Hassan
Joseph Attieh
Guillen Collell
Abdessalam Bouchekif
Baseline BERT models for Conversational Hate Speech Detection in Code-mixed tweets utilizing Data Augmentation and Offensive Language Identification in Marathi
563-574
Koyel Ghosh
Apurbalal Senapati
Utpal Garain
Machine Learning Approach for Hate Speech and Offensive Content Identification in English and Indo Aryan Code-Mixed Languages
575-583
Kirti Kumari
Jyoti Prakash Singh
Confirming the Effectiveness of a Simple Language-Agnostic Yet Very Strong System for Hate Speech and Offensive Content Identification
584-589
Yves Bestgen
Application of XLM-RoBERTa for Multi-Class Classification of Conversational Hate Speech
590-595
Tebo Leburu-Dingalo
Karabo Johannes Ntwaagae
Nkwebi Peace Motlogelwa
Edwin Thuma
Monkgogi Mudongo
Hate Speech Detection in Marathi and Code-Mixed Languages using TF-IDF and Transformers-Based BERT-Variants
596-610
Sakshi Kalra
Kushank Maheshwari
Saransh Goel
Yashvardhan Sharma
Mixture Models based on BERT for Hate Speech Detection
611-616
Haoyang Chen
Zhongyuan Han
Leilei Kong
Zhijie Zhang
Zengyao Li
Mingcan Guo
Haoliang Qi
2023-04-27: submitted by Kripabandhu Ghosh,
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