activity
20162020
most citedImplicit Dimension Identification in User-Generated Text with LSTM Networks

19 citations · 26 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2020

Sensing Ambiguity in Henry James' "The Turn of the Screw"

Victor Makarenkov, Yael Segalovitz

Fields such as the philosophy of language, continental philosophy, and literary studies have long established that human language is, at its essence, ambiguous and that this qualit…

cs.CL2020★ 2 cited

Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet

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. It is even harder when GPU hardware is unavailable. The i…

cs.CL2019★ 19 cited

Implicit Dimension Identification in User-Generated Text with LSTM Networks

Victor Makarenkov, Ido Guy, Niva Hazon +3

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…

cs.CL2019

Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems

Victor Makarenkov, Lior Rokach, Bracha Shapira

Scientific writing is difficult. It is even harder for those for whom English is a second language (ESL learners). Scholars around the world spend a significant amount of time and…

cs.CL2016★ 5 cited

Language Models with Pre-Trained (GloVe) Word Embeddings

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]. The implementa…