Sentiment understanding has been a long-term goal of AI in the past decades. This paper
deals with sentence-level sentiment classification. Though a variety of neural network …

Scalar inferences (SI) are a signature example of how humans interpret language based on
unspoken alternatives. While empirical studies have demonstrated that human SI rates are …

Most current NLP systems have little knowledge about quantitative attributes of objects and
events. We propose an unsupervised method for collecting quantitative information from …

Adjectives like pretty, beautiful and gorgeous describe positive properties of the nouns they
modify but with different intensity. These differences are important for natural language …

This work aims at modeling how the meaning of gradable adjectives of size (big',small') can
be learned from visually-grounded contexts. Inspired by cognitive and linguistic evidence …

Scalar adjectives pertain to various domain scales and vary in intensity within each scale
(eg certain is more intense than likely on the likelihood scale). Scalar implicatures arise from …

Semantic lexicons such as WordNet and PPDB have been used to improve the vector-based
semantic representations of words by adjusting the word vectors. However, such lexicons …

Abstract Language is one of the hallmarks of intelligence, demanding explanation in a
theory of human cognition. However, language presents unique practical challenges for …

Abstract Adjectives like``warm'',``hot'', and``scalding''all describe temperature but differ in
intensity. Understanding these differences between adjectives is a necessary part of …

Comparative knowledge (eg, steel is stronger and heavier than styrofoam) is an essential
component of our world knowledge, yet understudied in prior literature. In this paper, we …