Search Results for author: Abdelrhman Saleh

Found 4 papers, 2 papers with code

Probing Neural Dialog Models for Conversational Understanding

1 code implementation WS 2020 Abdelrhman Saleh, Tovly Deutsch, Stephen Casper, Yonatan Belinkov, Stuart Shieber

The predominant approach to open-domain dialog generation relies on end-to-end training of neural models on chat datasets.

Open-Domain Dialog

Hierarchical Reinforcement Learning for Open-Domain Dialog

1 code implementation17 Sep 2019 Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind Picard

Open-domain dialog generation is a challenging problem; maximum likelihood training can lead to repetitive outputs, models have difficulty tracking long-term conversational goals, and training on standard movie or online datasets may lead to the generation of inappropriate, biased, or offensive text.

Hierarchical Reinforcement Learning Open-Domain Dialog +1

Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media

no code implementations NAACL 2019 Ramy Baly, Georgi Karadzhov, Abdelrhman Saleh, James Glass, Preslav Nakov

In the context of fake news, bias, and propaganda, we study two important but relatively under-explored problems: (i) trustworthiness estimation (on a 3-point scale) and (ii) political ideology detection (left/right bias on a 7-point scale) of entire news outlets, as opposed to evaluating individual articles.

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