Now showing items 1-3 of 3

    • Measuring and improving interpretability of word embeddings using lexical resources 

      Şenel, Lütfi Kerem (Bilkent University, 2019-08)
      As an ubiquitous method in natural language processing, word embeddings are extensively employed to map semantic properties of words into a dense vector representations. They have become increasingly popular due to their ...
    • Semantic similarity between Turkish and European languages using word embeddings 

      Şenel, Lütfü Kerem; Yücesoy, V.; Koç, A.; Çukur, Tolga (IEEE, 2017)
      Representation of words coming from vocabulary of a language as real vectors in a high dimensional space is called as word embeddings. Word embeddings are proven to be successful in modelling semantic relations between ...
    • Semantic structure and interpretability of word embeddings 

      Senel, Lutfi Kerem; Utlu, Ihsan; Yucesoy, Veysel; Koc, Aykut; Çukur, Tolga (Institute of Electrical and Electronics Engineers, 2018)
      Dense word embeddings, which encode meanings of words to low-dimensional vector spaces, have become very popular in natural language processing (NLP) research due to their state-of-the-art performances in many NLP tasks. ...