37 citations · 83 across the 28 of their papers we have counts for
5 papers · 2 filters
Evaluating Text GANs as Language Models
Guy Tevet, Gavriel Habib, Vered Shwartz +1
Generative Adversarial Networks (GANs) are a promising approach for text generation that, unlike traditional language models (LM), does not suffer from the problem of ``exposure bi…
Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations
Vered Shwartz, Ido Dagan
Revealing the implicit semantic relation between the constituents of a noun-compound is important for many NLP applications. It has been addressed in the literature either as a cla…
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…
Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment
Tu Vu, Vered Shwartz
Supervised distributional methods are applied successfully in lexical entailment, but recent work questioned whether these methods actually learn a relation between two words. Spec…
Olive Oil is Made of Olives, Baby Oil is Made for Babies: Interpreting Noun Compounds using Paraphrases in a Neural Model
Vered Shwartz, Chris Waterson
Automatic interpretation of the relation between the constituents of a noun compound, e.g. olive oil (source) and baby oil (purpose) is an important task for many NLP applications.…