About Us

Research projects involving semantics, particularly at the intersection of information retrieval and computer science. The lab, which was recently set-up on December 2014, mainly focuses on information recognition, information extraction, knowledge representation & reasoning, recommended system and information retrieval, are main focus areas. The understanding of natural language processing is a must in order to analyses, understands, and generates languages for effective and efficient human-machine communication. Information recognition and information extraction recognizes entity mentions, mention types, named entities, and entity-entity relations to create structured data from natural language texts. Knowledge representation & reasoning (KRR) provides the foundation for NLP, IE and TI to represent knowledge symbolically and enable automated reasoning and computation over the representation. Our work also includes trans and multidisciplinary research involving ontologies complementary to statistical approaches, machine learning approaches, and also natural language processing.