Coreference Resolution is a fundamental natural language processing (NLP) problem, as it attempts to resolve which underlying discourse objects refer to one another. Further, it …
Large pre-trained transformer-based language models (PTLMs) have recently dominated the state-of-the-art in Information Retrieval tasks such as web search and question answering. Despite the advantages …
In this work, I present an implemented model that can learn interactively from natural language, enabling non-expert human trainers to convey complex tasks to machines …
In this thesis we examine the AI-hard problem of natural language understanding. We use the Quora Questions dataset as motivation - strong performance on this …
In this paper, we introduce a novel framework for improving intent classification performance in domains with limited labeled data. We call our framework RIPPED: Recursive …
A natural language parser recovers the latent grammatical structures of sentences. In many natural language processing (NLP) applications, parsing is applied to sentences first and …
