Yonatan Bisk

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SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference

Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi
EMNLP
2018

Given a partial description like "she opened the hood of the car," humans can reason about the situation and anticipate what might come next ("then, she examined the engine"). In this paper, we… (More)

Natural Language Communication with Robots

We propose a framework for devising empirically testable algorithms for bridging the communication gap between humans and robots. We instantiate our framework in the context of a problem setting in… (More)

Supertagging With LSTMs

Ashish Vaswani, Yonatan Bisk, Kenji Sagae, Ryan Musa
HLT-NAACL
2016

In this paper we present new state-of-the-art performance on CCG supertagging and parsing. Our model outperforms existing approaches by an absolute gain of 1.5%. We analyze the performance of several… (More)

Synthetic and Natural Noise Both Break Neural Machine Translation

Character-based neural machine translation (NMT) models alleviate out-of-vocabulary issues, learn morphology, and move us closer to completely end-to-end translation systems. Unfortunately, they are… (More)

Evaluating Induced CCG Parsers on Grounded Semantic Parsing

Yonatan Bisk, Siva Reddy, John Blitzer, Julia Hockenmaier, Mark Steedman
EMNLP
2016

We compare the effectiveness of four different syntactic CCG parsers for a semantic slot-filling task to explore how much syntactic supervision is required for downstream semantic analysis. This… (More)

Unsupervised Neural Hidden Markov Models

Ke M. Tran, Yonatan Bisk, Ashish Vaswani, Daniel Marcu, Kevin Knight
SPNLP@EMNLP
2016

In this work, we present the first results for neuralizing an Unsupervised Hidden Markov Model. We evaluate our approach on tag in- duction. Our approach outperforms existing generative models and is… (More)

From Recognition to Cognition: Visual Commonsense Reasoning

Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi
CVPR
2018

Visual understanding goes well beyond object recognition. With one glance at an image, we can effortlessly imagine the world beyond the pixels: for instance, we can infer people's actions, goals, and… (More)

Natural Language Inference from Multiple Premises

Alice Lai, Yonatan Bisk, Julia Hockenmaier
IJCNLP
2017

We define a novel textual entailment task that requires inference over multiple premise sentences. We present a new dataset for this task that minimizes trivial lexical inferences, emphasizes… (More)

CHALET: Cornell House Agent Learning Environment

Claudia Yan, Dipendra Kumar Misra, Andrew Bennett, Aaron Walsman, Yonatan Bisk, Yoav Artzi
ArXiv
2018

We present CHALET, a 3D house simulator with support for navigation and manipulation. CHALET includes 58 rooms and 10 house configuration, and allows to easily create new house and room layouts.… (More)

Simple Robust Grammar Induction with Combinatory Categorial Grammars

We present a simple EM-based grammar induction algorithm for Combinatory Categorial Grammar (CCG) that achieves state-of-the-art performance by relying on a minimal number of very general linguistic… (More)

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