6.00-7.00pm Poster session 1
Session Chair Tharindu Ransinghe, Varna hall
22 posters: Varieties of topics covering
- text classification for approaching a range of problems from hate speech and propaganda detection in mass media to applications in biomedical domain, education and business, including in multilingual context;
- question-answering and dialogue systems;
- topic modelling
- Multilingual Racial Hate Speech Detection Using Transfer Learning (Abinew Ali Ayele, Skadi Dinter, Seid Muhie Yimam and Chris Biemann)
- Propaganda Detection in Russian Telegram Posts in the Scope of the Russian Invasion of Ukraine (Natalia Vanetik, Marina Litvak, Egor Reviakin and Margarita Tiamanova)
- Clinical text classification to SNOMED CT codes using transformers trained on linked open medical ontologies (Anton Hristov, Petar Ivanov, Anna Aksenova, Tsvetan Asamov, Pavlin Gyurov, Todor Primov and Svetla Boytcheva)
- Exploring Unsupervised Semantic Similarity Methods for Claim Verification in Health Care News Articles (Vishwani Gupta, Astrid Viciano, Holger Wormer and Najmehsadat Mousavinezhad)
- Context Aware Module Selection in Modular Dialog Systems (Jan Nehring, René Marcel Berk and Stefan Hillmann)
- Source Code Plagiarism Detection with Pre-Trained Model Embeddings and Automated Machine Learning (Fahad Ebrahim and Mike Joy)
- BanglaBait: Semi-Supervised Adversarial Approach for Clickbait Detection on Bangla Clickbait Dataset (Md. Motahar Mahtab, Monirul Haque, Mehedi Hasan and Farig Sadeque)
- Classification-Aware Neural Topic Model Combined With Interpretable Analysis – For Conflict Classification (Tianyu Liang, Yida Mu, Soonho Kim, Darline Kuate, Julie Lang, Rob Vos and Xingyi Song)
- ‘ChemXtract’ A System for Extraction of Chemical Events from Patent Documents (Pattabhi RK Rao and Sobha Lalitha Devi)
- Challenges of GPT-3-based Conversational Agents for Healthcare (Fabian Lechner, Allison Lahnala, Charles Welch and Lucie Flek)
- Three Approaches to Client Email Topic Classification (Branislava Šandrih Todorović, Katarina Josipović and Jurij Kodre)
- Multimodal Learning for Accurate Visual Question Answering: An Attention-based Approach (Jishnu Bhardwaj, Anurag Balakrishnan, Satyam Pathak, Ishan Unnarkar, Aniruddha Gawande and Benyamin Ahmadnia)
- Uncertainty Quantification of Text Classification in a Multi-Label Setting for Risk-Sensitive Systems (Jinha Hwang, Carol Gudumotu and Benyamin Ahmadnia)
- A Review in Knowledge Extraction from Knowledge Bases (Fabio Yanez, Andrés Montoyo, Yoan Gutierrez, Rafael Muñoz and Armando Suarez)
- Exploring the Landscape of Natural Language Processing Research (Tim Schopf, Karim Arabi and Florian Matthes)
- Reading Between the Lines: Information Extraction from Industry Requirements (Ole Magnus Holter and Basil Ell)
- Multilingual Continual Learning Approaches for Text Classification (Karan Praharaj and Irina Matveeva)
- Auto-Encoding Questions with Retrieval Augmented Decoding for Unsupervised Passage Retrieval and Zero-shot Question Generation (Stalin Varanasi, Muhammad Umer Tariq Butt and Guenter Neumann)
- On the generalization of projection-based gender debiasing in word embedding (Elisabetta Fersini, ANTONIO CANDELIERI and Lorenzo Pastore)
- A Review of Research-based Automatic Text Simplification Tools (Isabel Espinosa-Zaragoza, José Abreu-Salas, Elena Lloret Pastor, Paloma Moreda Pozo and Manuel Palomar Sanz)
- huPWKP: A Hungarian Text Simplification Corpus (Noémi Prótár and Dávid Márk Nemeskey)
- Evaluating Unsupervised Hierarchical Topic Models Using a Labeled Dataset (Judicael Poumay and Ashwin Ittoo)
‘Remote posters’: available on the conference website to view on 4, 5 and 6 September 2023 only
- Kāraka-Based Answer Retrieval for Question Answering in Indic Languages (Devika Verma, Ramprasad S. Joshi, Aiman A. Shivani and Rohan D. Gupta)
- HAQA and QUQA: Constructing two Arabic Question-Answering Corpora for the Quran and Hadith (Sarah Alnefaie, Eric Atwell and Mohammad Ammar Alsalka)