To see Breakfast and lunch arrangement, please click here
All time written are in IST |
Day 1 : Friday 15 December |
Venue-FF7, First Floor , Goa Business School, Goa University |
8:30 - 9:00 |
Registration |
9:00 - 9:15 |
Opening Remarks |
9:15 - 10:00 |
Keynote address:
- How (un)important is complex NLP in transformers for text ranking? - Jaap Kamps slides
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10:00-11:45 |
Track overview (~15 minutes each)
Session Chair: Kripabandhu Ghosh
- Artificial Intelligence on Social Media (AISoMe) - Kripabandhu Ghosh slides
- Cross-Lingual Information Retrieval for African Languages (CIRAL) - Mofetoluwa Adeyemi slides
- Tea Break
- Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spans (CLAIMSCAN) - Megha Sundriyal slides
- Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages (HASOC) - Thomas Mandal, Koyal Goash, Sarah Masud slides
- Information Retrieval in Software Engineering (IRSE) - Srijoni Majumdar slides
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11:45-12:30 |
Keynote address:
- Evaluation Challenges and Current Limits in IR and NLP: Experiences at the CLEF SimpleText and JOKER Tracks: Liana Ermakova slides
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12:30-13:15 |
Lunch Break & Doctoral Consortium Poster Presentations |
13:15-14:30 |
Track overview (~15 minutes each)
Session Chair: Kripabandhu Ghosh
- Scarcasm Identification of Dravidian Languages (Malayalam and Tamil) in DravidianCodeMix 2023 (DravidianCodeMix) - Kishore Kumar Ponnusamy slides
- Word-level Language Identification in Code-mixed Tulu Texts (CoLI-Tunglish) - Asha Hegde slides
- Indian Language Summarization (ILSUM) - Parth Mehta slides
- Machine Translation for Indian Languages (MTIL) - Surupendu Gangopadhyay slides
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14:30-15:00 |
Conference Track : Resource and Demo Paper (~10 minutes each)
Session Chair: Debasis Ganguly
- Financial Argument Analysis in Bengali - Rima Roy / Sohom Ghosh slides
- L3Cube-MahaSocialNER: A Social Media based Marathi Named Entity Recognition Dataset and BERT models - Anuja Patil (Online) slides
- Helping Hands - An AI based Real Time System for Effective Flood Relief Operations in Indian Cities - Abhay Banerjee (Online)
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15:00-15:15 |
Tea Break |
15:15-16:30 |
Conference Track : Regular Paper (~15 minutes each)
Session Chair: Debasis Ganguly
- The Mask One At a Time Framework for Detecting the Relationship between Financial Entities - Sachin Umrao / Sohom Ghosh slides
- Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language Models - Subhankar Maity slides
- CricGPT: A GPT-aided Question-Answering system for Cricket - Kripabandhu Ghosh slides
- Keyword Driven Language-Independent Low-Resource Graph-Based Automatic Text Summarization of Konkani Texts - Chaitali More slides
- Are we describing the same sound? An analysis of word embedding spaces of expressive piano performance - Silvan David Peter slides
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17:00-18:00 |
Steering Committee Meeting |
19:00 |
Banquet |
Day 2 : Saturday 16 December |
Venue-FF7, First Floor, Goa Business School, Goa University |
9:00-9:45 |
Keynote address:
- Broken Telephone: Evangelos Kanoulas slides
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9:45-10:45 |
Information Retrieval in Software Engineering (IRSE) Presentation (~5 minutes each)
Session Chair: TBD
- Software Metadata Classification based on Generative Artificial Intelligence- Seetharam Killivalavan slides
- Source Code Comment Classification using Naive Bayes and Support Vector Machine- Raj Shah slides
- A ML-LLM pairing for better code comment classification- Hanna Abi Akl (Online) slides
- Binary Classification of Source Code Comments using Machine Learning Models- Lisa Sarkar slides
- Source Code Comment Classification using machine learning algorithms- Trisha Datta slides
- A study of the impact of generative AI-based data augmentation on software metadata classification - Tripti Kumari slides
- Leveraging Language Models for Code Comment Classification- Jagrat T Patel slides
- On the Impact of Synthetic Data on Code Comment Usefulness Prediction - Vishesh Agarwal
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10:45-11:00 |
Tea Break |
11:00-11:45 |
Cross-Lingual Information Retrieval for African Languages (CIRAL) Presentation (~5 minutes each)
Session Chair: TBD
- Extending Translate-Train for ColBERT-X to African Language CLIR-Eugene Yang slides
Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spans (CLAIMSCAN) (~5 minutes each)
Session Chair: Megha Sundriyal
- Current language models’ poor performance on pragmatic aspects of natural language - Julia Waldmüller (online) slides
- Positional Transformers for Claim Span Identification - Michael Sullivan (online) slides
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11:45-12:30 |
Keynote address:
- Disinformation and relevance in search: Open Issues and Challenges: Gabriella Pasi slides
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12:30-13:15 |
Lunch Break & Doctoral Consortium Poster Presentations |
13:15-14:00 |
Word-level Language Identification in Code-mixed Tulu Texts (CoLI-Tunglish) Presentation (~5 minutes each)
Session Chair: H. L. Shashirekha
- Word-Level Language Identification of Code-Mixed Tulu-English Data - Poorvi Shetty (Online) slides
- Word-level Language Identification in Code-mixed Tulu Texts(CoLI-Tunglish) - Asha Hegde slides
- Advancing Language Identification in Code-Mixed Tulu Texts:Harnessing Deep Learning Techniques -Anshika Mishra slides
- BFCAI at CoLI-Tunglish@FIRE 2023: Machine Learning Based Model for Word-level Language Identification in Code-mixed Tulu Texts - Hamada Nayel (Online) slides
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14:00-14:45 |
Scarcasm Identification of Dravidian Languages (Malayalam and Tamil) in DravidianCodeMix 2023 (DravidianCodeMix) Presentation (~5 minutes each)
Session Chair: B Bharathi
- Sarcasm Identification in Dravidian Languages Tamil and Malayalam-Poorvi Shetty (Online) slides
- Cross-Linguistic Sarcasm Detection in Tamil and Malayalam: A Multilingual Approach-Dhanya Krishnan (Online) slides
- Identifying the type of sarcasm in Dravidian Languages using Deep-Learning Models-Ramya Sivakumar (Online) slides
- Learning Models with Text Augmentation for Sarcasm Detection in Malayalam and Tamil Code-mixed Texts-Asha Hegde slides
- A Few Shot Learning to Detect Sarcasm in Tamil and Malayalam Code Mixed Data-Shanmitha Thirumoorthy(Online)
- Sarcasm Detection in Dravidian Languages using Transformer Models-Madhumitha M(Online)
- Sarcasm Identification In Codemix Dravidian Languages-Kanisha V (Online)
- Sarcasm Identification of Dravidian Languages (Malayalam and Tamil) - Indirakanth V (Online) slides
- Sarcasm Detection in Tamil and Malayalam Dravidian Code-Mixed Tex- Anshika Mishra slides
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Workshop:
Portuguese presence in Goa in digital perspective (Parallel Session)
- Project Monsoon: how to use digital techniques to understand the Portuguese presence in Asia Ana Sofia Ribeiro (CIDEHUS – Évora University)
- Digital Humanities in the understanding of Goan Vernacular Architecture Victor Mestre and Sofia Aleixo (Escola de Artes – Évora University)
- Venue : Chemistry Auditorium, SCS, Block E, Goa University
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14:45-15:00 |
Tea Break |
15:00-15:45 |
Industry Day Keynote address:
Session Chair: Parth Mehta
- Saving Languages with AI: The Challenge of Fair and Inclusive Large Language Models - Kalika Bali slides
| Coffee break
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15:20 |
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Roundtable – using digital techniques to remember Goa history
- Delfim Correia (Instituto Camões, Goa University)
- Goa Historical Archive
- Paulo Quaresma (Évora University)
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15:45-16:15 |
Industry Track Paper (~15 min each)
Session Chair: Parth Mehta
- Future of Workplace Conversational AI-driven Personal Assistants: Promises and Perils - Koustuv Saha slides
- On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat - Olivier Jeunen
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Day 3 : Sunday 17 December
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Venue- FF7, First Floor, Goa Business School, Goa University |
9:00-9:45 |
Keynote address:
- Quantum Computing for Information Access: Is It That Scary?: Nicola Ferro slides
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9:45-10:45 |
Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages (HASOC) Presentation (~5 minutes each)
Session Chair: Sandip Modha
- Hate and Offensive Content Identification in Indo-Aryan Languages using Transformer-based Models- Ojo Olumide Ebenezer (Online)
- Multilingual Hate Speech and Offensive Language Detection of Low Resource Languages -Abhinav Reddy Gutha slides
- Harnessing Pre-Trained Sentence Transformers for Offensive Language Detection in Indian Languages-Ananya Joshi (Online) slides
- Hate Speech Classification for Sinhalese and Gujarati-Madhuri Sawant (Online) slides
- Addressing Hate Speech: ATLANTIS for Efficient Hate Span Detection-Yashraj Poddar
- Crossing Borders: Multilingual Hate Speech Detection-Abhishek Dhaka slides
- Hate Speech Detection in Low Resource Indo-Aryan Languages-Sougata Saha slides
- Hate Speech and Offensive Content Detection in Indo-Aryan Languages: A Battle of LSTM and Transformers.-Nikhil Narayan slides
- Sinhala and Gujarati Hate Speech Detection-Krithik Sathya M slides
- Enhancing Hate Speech Detection in Sinhala and Gujarati: Leveraging BERT Models and Linguistic Constraints-Aswath Venkatesh (Online) slides
- Bengali Hate Speech Detection Using Deep Learning Technique-Chandan Senapati (Online) slides
- Taming Toxicity: Learning Models for Hate Speech and Offensive Language Detection in Social Media Text-Sharal Coelho slides
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10:45-11:00 |
Tea Break |
11:00-11:45 |
Indian Language Summarization (ILSUM) Presentation (~5 minutes each)
Session Chair: Sandip Modha
- Prompted Zero-Shot Multi-label Classification of Factual Incorrectness in Machine-Generated Summaries-Aniket Deroy slides
- Named Entity-Aware Abstractive Text Summarization for Hindi Language-Saumay Gupta slides
- Advancing Human-Like Summarization: Approaches to Text Summarization-Saliq Gowhar(Online) slides
- Text Summarization for Indian Languages: Finetuned Transformer Model Application-Ilanchezhiyan V (Online)
Machine Translation for Indian Languages (MTIL) Presentation (~5 minutes each)
- Hindi-Odia Machine Translation System - Mihir Raj slides
- Bidirectional Hindi-Punjabi Machine Translation-Karunesh Kumar Arora slides
- Fine tuning based Domain Adaptation for Machine Translation of Low Resource Indic Languages-Harpreet Singh Anand (Online) slides
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11:45-12:30 |
Keynote address:
- Experimentation and Reproducibility in Information Retrieval: Then and Now: Iadh Ounis slides
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12:30-13:15 |
Lunch Break |
13:15-14:15 |
Artificial Intelligence on Social Media (AISoMe) Presentation (~5 minutes each)
Session Chair: Kripabandhu Ghosh
- BERT-Powered Multi-label Classifier: Analyzing Public COVID Vaccination Discourse - Ranjit Patro slides
- Analyzing crowd-sourced vaccine data : Uncovering Concerns and Insights- Lakshmi S Gopal slides
- Multi-Label Classification of COVID-Tweets Using Large Language Models- Aniket Deroy slides
- Multi-label Classification of Covid-19 Vaccine Tweet- Sumit as slides
- VaxTweetClassifier: BERT for Dealing with Vaccination Tweets-Shankha Shubhra Das (Online) slides
- VaxVedict : A roBERTa based multilabel classifier-Aditya Onkar Patil( Online) slides
- VaxiBERT: A BERT-Based Classifier for Vaccine Tweets with Multi-Label Annotations - Shivangi Bithel (Online) slides
- Tweet Classifier: Advancements in Multi-Label Analysis - Swastik Anupam (Online) slides
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14:15-15:00 |
Conference Track : Regular Paper (~15 minutes each)
Session Chair: Debasis Ganguly
- A Comparative Analysis of Retrievability and PageRank Measures - Priyanshu
- Expressivity-aware Music Performance Retrieval using Mid-level Perceptual Features and Emotion Word Embeddings - Silvan David Peter
Conference Track : Extended Abstract (~10 minutes each)
- Fact-based Court Judgment Prediction - Shubham Kumar Nigam
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15:00-15:15 |
Tea Break |
15:00-16:00 |
Industry Day Keynote address
- Search, Recommenders and Co-pilots: Evolution of Evaluation Strategies in the Industry - Rishabh Mehrotra slides
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16:00-16:15 |
Industry Track Paper (~15 min each)
- Recommendation Systems in the Era of LLMs - Ipsita Mohanty
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Day 4 : Monday 18 December (Tutorial Day) |
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Track 1 |
Track 2 |
Workshop: |
9:00-9:30 |
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A hands-on workshop by NVIDIA (Live online) (Parallel) Venue-FF7
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9:30-11:00 |
Tutorial 1: Unleashing the Power of Large Language Models: A Hands-On Tutorial - Madhusudan Ghosh, Payel Samtra, Debasis Ganguly (Offline) & Partha Basuchowdhari, Sudip Kumar Naskar (Online) Venue-GF1 slides
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11:15-12:45 |
Tutorial 3: Recent Advancements in Unbiased Learning to Rank - Shashank Gupta, Philipp Hager, and Harrie Oosterhuis Venue-GF1
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Tutorial 4: AI and Data-driven Approaches for Agriculture - Manjira Sinha, Tirthankar Dasgupta, Adway Mitra Venue-FF7
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12:00-1:30 |
Tutorial 2: Explainability of Text Processing and Retrieval Methods - Sourav Saha, Procheta Sen, Avishek Anand, Mandar Mitra (Online) (Parallel) Venue-GF2
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