As large language models (LLMs) gain popularity among speakers of divers...
Making sense of familiar yet new situations typically involves making
ge...
GPT-3 models are very powerful, achieving high performance on a variety ...
Neural reasoning accuracy improves when generating intermediate reasonin...
Compositionality is a pivotal property of symbolic reasoning. However, h...
Natural language processing technology has rapidly improved automated
gr...
We introduce a community-sourced dataset for English Language Question
A...
How can an end-user provide feedback if a deployed structured prediction...
A class of explainable NLP models for reasoning tasks support their deci...
Scripts - standardized event sequences describing typical everyday activ...
We present GrammarTagger, an open-source grammar profiler which, given a...
Recent years have brought about a renewed interest in commonsense
repres...
We present the Universal Decompositional Semantics (UDS) dataset (v1.0),...
We introduce WIQA, the first large-scale dataset of "What if..." questio...
We propose a refinement of Natural Language Inference (NLI), called Unce...
Abductive reasoning is inference to the most plausible explanation. For
...
The Winograd Schema Challenge (WSC), proposed by Levesque et al. (2011) ...
We describe a novel method for efficiently eliciting scalar annotations ...
We propose a neural encoder-decoder model with reinforcement learning (N...
We present a new parallel corpus, JHU FLuency-Extended GUG corpus (JFLEG...
Current methods for automatically evaluating grammatical error correctio...
Language processing mechanism by humans is generally more robust than
co...
The GLEU metric was proposed for evaluating grammatical error correction...