1.3k citations · 3.2k across the 44 of their papers we have counts for
6 papers · 2 filters
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…
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences
Max Glockner, Vered Shwartz, Yoav Goldberg
We create a new NLI test set that shows the deficiency of state-of-the-art models in inferences that require lexical and world knowledge. The new examples are simpler than the SNLI…
Split and Rephrase: Better Evaluation and a Stronger Baseline
Roee Aharoni, Yoav Goldberg
Splitting and rephrasing a complex sentence into several shorter sentences that convey the same meaning is a challenging problem in NLP. We show that while vanilla seq2seq models c…