Polysemy is the type of lexical ambiguity where a word has multiple distinct but related
interpretations. In the past decade, it has been the subject of a great many studies across …

The question of whether humans represent grammatical knowledge as a binary condition on
membership in a set of well‐formed sentences, or as a probabilistic property has been the …

Hybrid quantum-classical classifiers promise to positively impact critical aspects of natural
language processing tasks, particularly classification-related ones. Among the possibilities …

Properties of the content of the clausal complement have long been assumed to distinguish
factive predicates like know from nonfactive ones like think (Kiparsky & Kiparsky 1970, inter …

The development of automated approaches to linguistic acceptability has been greatly
fostered by the availability of the English CoLA corpus, which has also been included in the …

The application of deep learning methods to problems in natural language processing has
generated significant progress across a wide range of natural language processing tasks …

Linguistic acceptability (LA) attracts the attention of the research community due to its many
uses, such as testing the grammatical knowledge of language models and filtering …

The rapid entry of machine learning approaches in our daily activities and high-stakes
domains demands transparency and scrutiny of their fairness and reliability. To help gauge …

Cognitive computing systems require human labeled data for evaluation and often for
training. The standard practice used in gathering this data minimizes disagreement between …

In their recent paper, Lau, Clark, and Lappin explore the idea that the probability of the
occurrence of word strings can form the basis of an adequate theory of grammar (Lau, Jey …