Abstract:
Natural Language Processing (NLP) field experienced considerable improvement in the year 2018. With the help of the transfer learning approach BERT (Bidirectional Encoder...Show MoreMetadata
Abstract:
Natural Language Processing (NLP) field experienced considerable improvement in the year 2018. With the help of the transfer learning approach BERT (Bidirectional Encoder Representations) introduced by Google and approaches following it, state-of-the-art results were achieved in many NLP tasks. It became easier to research in this direction for Turkish with the help of published Turkish pre-trained BERT models in February, 2020. A new opportunity has arisen on research and development of contextual embeddings-based document retrieval instead of keyword-based for Turkish. This work introduces a BERT-contextual-vector-based Turkish text search tool. Sample queries and responses are presented to demonstrate the benefits it brings.
Date of Conference: 09-11 June 2021
Date Added to IEEE Xplore: 19 July 2021
ISBN Information:
Print on Demand(PoD) ISSN: 2165-0608