FIRE-WN 2023

Table of Contents

• Preface PDF
  Kripabandhu Ghosh, Thomas Mandl, Prasenjit Majumder, Mandar Mitra
• Overview of the FIRE 2023 Track: Artificial Intelligence on Social Media (AISoMe) 1-5 PDF
  Saptarshi Ghosh 0001, Moumita Basu, Soham Poddar, Kripabandhu Ghosh
• Enhancing Multilabel Classification of Anti-Vaccine Tweets with the COVID-Twitter-BERT 6-11 PDF
  Aritra Mandal
• Vaccine Vision: A deep learning approach towards identifying societal concerns regarding vaccines 12-17 PDF
  Kaustav Das
• Multi-Label Classification of COVID-Tweets Using Large Language Models 18-23 PDF
  Aniket Deroy, Subhankar Maity
• Tweet Classifier: Advancements in Multi-Label Analysis 24-29 PDF
  Swastik Anupam
• Multi-label Classification of Covid-19 Vaccine Tweet 30-43 PDF
  Palvika Bansal, Sumit Das 0006, Shalini Kumari, Vikas Rai
• VaxTweetClassifier: BERT for Dealing with Vaccination Tweets 44-51 PDF
  Priyam Saha, Shankha S. Das, Sohan Choudhury, Dipankar Das (disambiguation)
• VaxVerdict: a RoBERTa Based Multilabel Tweet Classifier 52-58 PDF
  Sheetal Sonawane, Aditya O. Patil, Shivakumar Ranade, Raj Awate
• VaxiBERT: A BERT-Based Classifier for Vaccine Tweets with Multi-Label Annotations 59-66 PDF
  Prachi, Rajat Singh, Shivangi Bithel, Samidha Verma
• Deciphering Vaccine Sentiments: Transformer Models in Social Media Analysis 67-74 PDF
  Shriram M. S
• BERT-Powered Multi-label Classifier: Analyzing Public COVID Vaccination Discourse 75-81 PDF
  Asutosh Mishra, Ranjit Patro
• Analysing Crowd-Sourced Vaccine Data Using Machine Learning: Uncovering Concerns and Insights 82-90 PDF
  Lakshmi Gopal
• Unveiling Diverse Vaccine Sentiments: Multi-Label Text Classification 91-98 PDF
  S. Karthika, K. Shanmukha Naveen, S. Sharon Roshini
• Decoding Concerns: Multi-label Classification of Vaccine Sentiments in Social Media 99-111 PDF
  Shaurya Vats, Somsubhra De
• TweetClass: COVID-19 Vaccine Tweet Classification with scikit-learn 112-117 PDF
  Baivab Chakraborty, Souvit Biswas, Subhajit Srimani
• Overview of the CIRAL Track at FIRE 2023: Cross-lingual Information Retrieval for African Languages 118-136 PDF
  Mofe Adeyemi, Xinyu Zhang 0018, Akintunde Oladipo, David Alfonso-Hermelo, Mehdi Rezagholizadeh, Boxing Chen, Jimmy Lin
• Extending Translate-Train for ColBERT-X to African Language CLIR 137-146 PDF
  Eugene Yang, James Mayfield, Paul McNamee, Dawn J. Lawrie
• Overview of the CLAIMSCAN-2023: Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spans 147-158 PDF
  Md. Shad Akhtar, Megha Sundriyal, Tanmoy Chakraborty 0002
• Current language models' poor performance on pragmatic aspects of natural language 159-169 PDF
  Julia Waldmüller, Olivier Blanc, Michaela Geierhos, Ulrich Schade, Albert Pritzkau
• Positional Transformers for Claim Span Identification 170-178 PDF
  Navid Madani, Sougata Saha, Rohini K. Srihari, Michael Sullivan
• Overview of CoLI-Tunglish: Word-level Language Identification in Code-mixed Tulu Text at FIRE 2023 179-190 PDF
  Fazlourrahman Balouchzahi, Hamada A. Nayel, Sharal Coelho, Asha Hegde, Sabur Butt, Hosahalli Lakshmaiah Shashirekha
• Using Character Ngrams for Word-Level Language Identification in Trilingual Code-Mixed Data (and Even More) 191-197 PDF
  Yves Bestgen
• Word-Level Language Identification of Code-Mixed Tulu-English Data 198-204 PDF
  Poorvi Shetty
• BFCAI at CoLI-Tunglish@FIRE 2023: Machine Learning Based Model for Word-level Language Identification in Code-mixed Tulu Texts 205-212 PDF
  Ahmed M. Fetouh, Hamada A. Nayel
• Word-level Language Identification in Code-mixed Tulu Texts 213-222 PDF
  Hosahalli Lakshmaiah Shashirekha, Asha Hegde, Sushma N
• Advancing Language Identification in Code-Mixed Tulu Texts: Harnessing Deep Learning Techniques 223-230 PDF
  Sukomal Pal, Anshika Mishra, Supriya Chanda
• Overview of Sarcasm Identification of Dravidian Languages in DravidianCodeMix@FIRE-2023 231-239 PDF
  C. N. Subalalitha 0001, Nandhini K, Charmathi Rajkumar, Kishore Kumar Ponnusamy, Sripriya N, Rahul Ponnusamy, Prasanna Kumar Kumaresan, Thenmozhi Durairaj (disambiguation), Bharathi Raja Chakravarthi, Bharathi B
• Sarcasm Identification in Dravidian Languages Tamil and Malayalam 240-248 PDF
  Poorvi Shetty
• Sarcasm Detection in Dravidian Code-Mixed Text Using Transformer-Based Models 249-258 PDF
  Mithun Das, Anik Basu Bhaumik
• Cross-Linguistic Sarcasm Detection in Tamil and Malayalam: A Multilingual Approach 259-269 PDF
  B. Bharathi (disambiguation), Dhanya Krishnan, Krithika Dharanikota
• Unmasking Sarcasm: Sarcastic Language Detection with BiLSTMs 270-277 PDF
  Parameshwar R. Hegde, Anusha M. D
• Identifying the Type of Sarcasm in Dravidian Languages using Deep-Learning Models 278-286 PDF
  Ramya Sivakumar, Jerin Mahibha C, B. Monica Jenefer
• Learning Models with Text Augmentation for Sarcasm Detection in Malayalam and Tamil Code-mixed Texts 287-298 PDF
  Hosahalli Lakshmaiah Shashirekha, Asha Hegde, Navya N, Vanitha V
• A Few Shot Learning to Detect Sarcasm in Tamil and Malayalam Code Mixed Data 299-305 PDF
  Thenmozhi Durairaj (disambiguation), Ratnavel Rajalakshmi, Manavh N. R, Shanmitha Thirumoorthy
• Sarcasm Detection in Dravidian Languages using Transformer Models 306-318 PDF
  Thenmozhi Durairaj (disambiguation), Jerin Mahibha C, Tejashri J, Madhumitha M, Kunguma Akshatra M
• Sarcasm Identification in Codemix Dravidian Languages 319-326 PDF
  Kanisha. V, Manoji. B, Meera Devi. T, Meharnath. S, Prabhu Ram. N
• Sarcasm Identification Of Dravidian Languages (Malayalam and Tamil) 327-335 PDF
  B. Bharathi (disambiguation), Thenmozhi Durairaj (disambiguation), V. Indirakanth, Dharunkumar Udayakumar
• Sarcasm Detection in Tamil and Malayalam Dravidian Code-Mixed Text 336-343 PDF
  Sukomal Pal, Supriya Chanda, Anshika Mishra
• Overview of the HASOC Subtrack at FIRE 2023: Hate-Speech Identification in Sinhala and Gujarati 344-350 PDF
  Alphaeus Dmonte, Thomas Mandl 0001, Marcos Zampieri, Nisarg Shah 0005, Pavan Pandya, Shrey Satapara, Hiren Madhu, Prasenjit Majumder, Tharindu Ranasinghe, Sandip Modha
• Overview of the HASOC Subtrack at FIRE 2023: Identification of Conversational Hate-Speech 351-359 PDF
  Sandip Modha, Hiren Madhu, Shrey Satapara, Pavan Pandya, Nisarg Shah 0005, Thomas Mandl 0001
• Overview of the HASOC Subtrack at FIRE 2023: Identification of Tokens Contributing to Explicit Hate in English by Span Detection 360-367 PDF
  Mohammad Aflah Khan, Tanmoy Chakraborty 0002, Md. Shad Akhtar, Sarah Masud
• Annihilate Hates (Task 4 HASOC 2023): Hate Speech Detection in Assamese Bengali and Bodo languages 368-382 PDF
  Apurbalal Senapati, Koyel Ghosh, Aditya Shankar Pal
• Hate and Offensive Content Identification in Indo-Aryan Languages using Transformer-based Models 383-392 PDF
  Hiram Calvo, Olumide E. Ojo, Olaronke Oluwayemisi Adebanji, Grigori Sidorov, Anna Feldman, Alexander F. Gelbukh
• Addressing Hate Speech: ATLANTIS for Efficient Hate Span Detection 393-402 PDF
  Partha Pakray, Krish Sharma, Advaitha Vetagiri, Niyar R. Barman, Yashraj Poddar
• Detecting Hate Speech and Offensive Content in English and Indo-Aryan Texts 403-410 PDF
  Sauleh Eetemadi, Mohammadmostafa Rostamkhani
• Using Only Character Ngrams for Hate Speech and Offensive Content Identification in Five Low-Ressource Languages 411-417 PDF
  Yves Bestgen
• Detecting Offensive Language in Bengali Bodo and Assamese using Word Unigrams Char N-grams Classical Machine Learning and Deep Learning Methods 418-426 PDF
  Avigail Stekel, Avital Prives, Yaakov HaCohen-Kerner
• Harnessing Pre-Trained Sentence Transformers for Offensive Language Detection in Indian Languages 427-434 PDF
  Raviraj Joshi, Ananya Joshi 0002
• Enhancing Hate Speech Detection in Sinhala and Gujarati: Leveraging BERT Models and Linguistic Constraints 435-444 PDF
  Balaji V. A, Aswath Venkatesh, G. Gnana Sai, Kishore N, Prabavathy Balasundaram, Olirva M
• Multilingual Hate Speech and Offensive Language Detection of Low Resource Languages 445-458 PDF
  Abhinav Reddy Gutha, Nidamanuri Sai Adarsh, Ananya Alekar, Dinesh Reddy
• Breaking Barriers: Multilingual Toxicity Analysis for Hate Speech and Offensive Language in Low-Resource Indo-Aryan Languages 459-473 PDF
  Ch Muhammad Awais, Jayveersinh Raj
• Examining Hate Speech Detection Across Multiple Indo-Aryan Languages in Tasks 1 & 4 474-485 PDF
  Advaitha Vetagiri, Eisha Halder, Gyandeep Kalita, Chetna Taparia, Partha Pakray
• Crossing Borders: Multilingual Hate Speech Detection 486-500 PDF
  Sukomal Pal, Supriya Chanda, Abhishek Dhaka
• Hate speech classification for Sinhalese and Gujarati 501-515 PDF
  Muhammad Atif Qureshi 0001, Arjumand Younus, Madhuri Sawant, Muhammad Deedahwar Mazhar Qureshi, Wael Rashwan, Simon Caton
• Hate Speech Detection in Low Resource Indo-Aryan Languages 516-520 PDF
  Sougata Saha, Rohini K. Srihari, Michael Sullivan
• Sinhala and Gujarati Hate Speech Detection 521-531 PDF
  Prabavathy Balasundaram, M. Krithik Sathya, Manickam PA, K. H. Gopalakrishnan
• Cross-Linguistic Offensive Language Detection: BERT-Based Analysis of Bengali Assamese & Bodo Conversational Hateful Content from Social Media 532-543 PDF
  Mourad Oussalah 0002, Akash Singhal, Jhuma Kabir Mim
• Improving Detection of Hate Speech, Offensive Language and Profanity in Short Texts with SVM Classifier 544-552 PDF
  Surya Agustian, Agit Fadillah Rihardi, Zaky Idhafi
• Bengali Hate Speech Detection Using Deep Learning Technique 553-562 PDF
  Chandan Senapati, Utpal Roy
• Taming Toxicity: Learning Models for Hate Speech and Offensive Language Detection in Social Media Text 563-573 PDF
  Hosahalli Lakshmaiah Shashirekha, Rachana K, Prajnashree M, Kavya Girish, Sharal Coelho, Asha Hegde
• Hate Speech and Offensive Content Detection in Indo-Aryan Languages: A Battle of LSTM and Transformers 574-587 PDF
  Pramod Goyal, Nikhil Narayan, Mrutyunjay Biswal, Abhranta Panigrahi
• Multilingual Hate Speech Detection Using Ensemble of Transformer Models 588-597 PDF
  Md Saroar Jahan, Walid Aransa, Abdessalam Bouchekif, Fadi Hassan
• Generative AI for Software Metadata: Overview of the Information Retrieval in Software Engineering Track at FIRE 2023 598-604 PDF
  Srijoni Majumdar, Bhargav Dave, Prasenjit Majumder, Partha Pratim Das 0001, Ayan Bandyopadhyay, Soumen Paul, Samiran Chattopadhyay, Debjyoti Paul, Paul D. Clough
• A ML-LLM pairing for better code comment classification 605-614 PDF
  Hanna Abi Akl
• Software Metadata Classification based on Generative Artificial Intelligence 615-623 PDF
  Seetharam Killivalavan, Thenmozhi Durairaj (disambiguation)
• Leveraging Generative AI: Improving Software Metadata Classification with Generated Code-Comment Pairs 624-632 PDF
  Samah Syed, Angel Deborah S
• Source Code Comment Classification using machine learning algorithms 633-641 PDF
  Trisha Datta
• Enhancing Binary Code Comment Quality Classification: Integrating Generative AI for Improved Accuracy 642-651 PDF
  Angel Deborah S, Rohith Arumugam S
• Binary Classification of Source Code Comments using Machine Learning Models 652-660 PDF
  Lisa Sarkar
• A study of the impact of generative AI-based data augmentation on software metadata classification 661-669 PDF
  Tripti Kumari, Ayan Das 0004, Chakali Sai Charan
• Leveraging Language Models for Code Comment Classification 670-678 PDF
  Jagrat T. Patel
• Enhancing Code Comment Classification Using Language Models 679-688 PDF
  Jaivin Barot
• Assessing the Utility of C Comments with SVM and Naïve Bayes Classifier 689-695 PDF
  Aritra Mitra
• Source Code Comment Classification using Naive Bayes and Support Vector Machine 696-703 PDF
  Raj Jitendra Shah
• On the Impact of Synthetic Data on Code Comment Usefulness Prediction 704-710 PDF
  Vishesh Agarwal
• Exploring LLM-based Data Augmentation Techniques for Code Comment Quality Classification 711-717 PDF
  Priyam Dalmia
• Exploring Large Language Models for Code Explanation 718-723 PDF
  Paheli Bhattacharya, Vikas Pandey, Manojit Chakraborty, Ishan Dindorkar, Rakesh Rajpurohit, Kartheek N. S. N. Palepu, Rishabh Gupta (disambiguation)
• Key Takeaways from the Second Shared Task on Indian Language Summarization (ILSUM 2023) 724-733 PDF
  Sandip Modha, Shrey Satapara, Parth Mehta 0001, Debasis Ganguly
• Prompted Zero-Shot Multi-label Classification of Factual Incorrectness in Machine-Generated Summaries 734-746 PDF
  Saptarshi Ghosh 0001, Aniket Deroy, Subhankar Maity
• Advancing Human-Like Summarization: Approaches to Text Summarization 747-754 PDF
  Anand Kumar Madasamy, Saliq Gowhar, Ashutosh K. Gupta, Bhavya Sharma
• Named Entity-Aware Abstractive Text Summarization for Hindi Language 755-765 PDF
  Sukomal Pal, Saumay Gupta
• Text Summarization for Indian Languages: Finetuned Transformer Model Application 766-774 PDF
  B. Bharathi (disambiguation), V. Ilanchezhiyan, E. M. Milin Dhitshithaa, R. Darshan
• Overview of MTIL Track at FIRE 2023: Machine Translation for Indian Languages 775-782 PDF
  Surupendu Gangopadhyay
• Hindi-Odia Machine Translation System 783-789 PDF
  Rakesh Chandra Balabantaray
• Fine tuning based Domain Adaptation for Machine Translation of Low Resource Indic Languages 790-795 PDF
  Amulya Ratna Dash
• Bidirectional Hindi-Punjabi Machine Translation 796-801 PDF
  Mukund K. Roy