This paper investigates how ExxonMobil uses rhetoric and framing to shape public
discourse on climate change. We present an algorithmic corpus comparison and machine …

This book presents a radical reconceptualization of the nature of linguistic knowledge. John
Taylor challenges the conventional notion that a language can be understood in terms of the …

We develop a new computational model for representing the fine-grained meanings of near-
synonyms and the differences between them. We also develop a lexical-choice process that …

Lexical-semantic resources, including thesauri and WORDNET, have been successfully
incorporated into a wide range of applications in Natural Language Processing. However …

Idiomatic expressions are plentiful in everyday language, yet they remain mysterious, as it is
not clear exactly how people learn and understand them. They are of special interest to …

Over the past four decades, two distinct alternatives have emerged to rule-based models of
how linguistic categories are stored and represented as cognitive structures, namely the …

Search engine logs are an emerging new type of data that offers interesting opportunities for
data mining. Existing work on mining such data has mostly attempted to discover knowledge …

Given the recent progress in language modeling using Transformer-based neural models
and an active interest in generating stylized text, we present an approach to leverage the …

In this dissertation, I present an overall methodological framework for studying linguistic
alternations, focusing specifically on lexical variation in denoting a single meaning, that is …

Different metrics have been proposed to compare Abstract Meaning Representation (AMR)
graphs. The canonical Smatch metric (Cai and Knight,) aligns the variables of two graphs …