Large Language Models
Training, applications, transfer learning, interpretability of large language models.
Multimodal Models
Integration of text with other modalities like images, video, and audio; multimodal representation learning; applications of multimodal models.
AI Safety and ethics
Safe and ethical use of Generative AI and NLP; avoiding and mitigating biases in NLP models and systems; explainability and transparency in AI.
Natural Language Interfaces and Interaction
Design and implementation of Natural Language Interfaces, user studies with human participants ...
Social Media and Web Analytics
Opinion mining/sentiment analysis, irony/sarcasm detection; detection of fake reviews and deceptive language ...
Deep Learning and eXplainable Artificial Intelligence (XAI)
Deep learning architectures, word embeddings, transparency, interpretability, fairness, ...
Argumentation Mining and Applications
Automatic detection of argumentation components and relationships; creation of resource ...
Question Answering (QA)
Natural language interfaces to databases, QA using web data, multi-lingual QA, non-factoid QA(how/why/opinion questions, lists), geographical QA, ...
Corpus Analysis
Multi-lingual, multi-cultural and multi-modal corpora; machine translation, text analysis, text classification and clustering; language identification ...
Semantic Web, Open Linked Data, and Ontologies
Ontology learning and alignment, ontology population, ontology evaluation, querying ontologies and linked data ...
Natural Language in Conceptual Modelling
Analysis of natural language descriptions, NLP in requirement engineering, terminological ontologies ...
Natural Language and Ubiquitous Computing
Pervasive computing, embedded, robotic and mobile applications; conversational agents; NLP techniques ...
Big Data and Business Intelligence
Identity detection, semantic data cleaning, summarisation, reporting, and data to text.
