1.3k citations · 3.2k across the 44 of their papers we have counts for
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Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training
Hila Gonen, Yoav Goldberg
We focus on the problem of language modeling for code-switched language, in the context of automatic speech recognition (ASR). Language modeling for code-switched language is chall…
Adversarial Removal of Demographic Attributes from Text Data
Yanai Elazar, Yoav Goldberg
Recent advances in Representation Learning and Adversarial Training seem to succeed in removing unwanted features from the learned representation. We show that demographic informat…
Understanding Convolutional Neural Networks for Text Classification
Alon Jacovi, Oren Sar Shalom, Yoav Goldberg
We present an analysis into the inner workings of Convolutional Neural Networks (CNNs) for processing text. CNNs used for computer vision can be interpreted by projecting filters i…
Word Sense Induction with Neural biLM and Symmetric Patterns
Asaf Amrami, Yoav Goldberg
An established method for Word Sense Induction (WSI) uses a language model to predict probable substitutes for target words, and induces senses by clustering these resulting substi…
Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow
Jonathan Mamou, Oren Pereg, Moshe Wasserblat +7
We present SetExpander, a corpus-based system for expanding a seed set of terms into a more complete set of terms that belong to the same semantic class. SetExpander implements an…
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
Shani Gamrian, Yoav Goldberg
Despite the remarkable success of Deep RL in learning control policies from raw pixels, the resulting models do not generalize. We demonstrate that a trained agent fails completely…