Bikash Gyawali (Alumni)Research Assoc. - text and data mining
I am a researcher in the field of Natural Language Processing. Before joining the KMI, I was as a postdoc at the French national research centre (CNRS) where I worked on different topics related to human language understanding and generation.
Currently in the CORE(http://core.ac.uk/) team, I use my NLP skills to analyse the huge quantity of openly accessible research articles on the web. As a team, I work for building models that support better discovery, processing and impact analysis of scientific content worldwide.
Keys: Natural Language Processing, Big Data Analysis, Information Extraction, Content Enrichment
Gyawali, B., Pontika, N. and Knoth, P. (2020) Open Access 2007 - 2017: Country and University Level Perspective, Joint Conference on Digital Libraries, Virtual Event, China
Knoth, P., N. Kunnath, S., Gyawali, B., Pride, D., Stahl, C. and Herrmannova, D. (2020) 8th International Workshop on Mining Scientific Publications (WOSP 2020), ACM/IEEE Joint Conference on Digital Libraries in 2020 (JCDL ’20), Virtual - China
N. Kunnath, S., Pride, D., Gyawali, B. and Knoth, P. (2020) Overview of the 2020 WOSP 3C Citation Context Classification Task, Workshop: The 8th International Workshop on Mining Scientific Publications (WOSP), 2020 at The ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2020, Wuhan, China, Association for Computational Linguistics
Gyawali, B., Anastasiou, L. and Knoth, P. (2020) Deduplication of Scholarly Documents using Locality Sensitive Hashing and Word Embeddings, 12th Language Resources and Evaluation Conference, Marseille, France
Knoth, P., Anastasiou, L., Cancellieri, M., Gyawali, B., Herrmannova, D., Misak, S., Huba, A., Pearce, S., Pontika, N., Rumyanceva, S. and Tarasiuk, M. (2019) Aggregating The World's Open Access Research Papers