1 code implementation • 21 Nov 2020 • Victor Makarenkov, Yael Segalovitz
This work brings together computational text analysis and literary analysis to demonstrate the extent to which ambiguity in certain texts plays a key role in shaping meaning and thus requires analysis rather than elimination.
no code implementations • 15 Sep 2020 • Victor Makarenkov, Lior Rokach
One of the challenges in the NLP field is training large classification models, a task that is both difficult and tedious.
no code implementations • 26 Jan 2019 • Victor Makarenkov, Ido Guy, Niva Hazon, Tamar Meisels, Bracha Shapira, Lior Rokach
In the process of online storytelling, individual users create and consume highly diverse content that contains a great deal of implicit beliefs and not plainly expressed narrative.
1 code implementation • 8 Jan 2019 • Victor Makarenkov, Lior Rokach, Bracha Shapira
We use a bidirectional Recurrent Neural Network (RNN) with LSTM for learning the proper word choice based on a word's sentential context.
1 code implementation • 12 Oct 2016 • Victor Makarenkov, Bracha Shapira, Lior Rokach
In this work we implement a training of a Language Model (LM), using Recurrent Neural Network (RNN) and GloVe word embeddings, introduced by Pennigton et al. in [1].