Browsing Computer Science by Subject "natural language processing"
Now showing items 21-26 of 26
-
Parlez-vous le hate?: Examining topics and hate speech in the alternative social network Parler
(University of Waterloo, 2021-12-23)Over the past several years, many “alternative” social networks have sprung up, with an emphasis on minimal moderation and protection of free speech. Although they claim to be politically neutral, they have been a haven ... -
Prompt-tuning in Controlled Dialogue Generation
(University of Waterloo, 2022-12-22)Recent years have witnessed a prosperous development of dialogue response generation since the advent of Transformer. Fine-tuning pretrained language models for different downstream tasks has become the dominant paradigm ... -
Retrieving Supporting Evidence for Generative Question Answering
(University of Waterloo, 2023-12-18)Current large language models (LLMs) can exhibit near-human levels of performance on many natural language-based tasks, including open-domain question answering. Unfortunately, at this time, they also convincingly hallucinate ... -
Sentiment Lexicon Induction and Interpretable Multiple-instance Learning in Financial Markets
(University of Waterloo, 2020-09-28)Sentiment analysis has been widely used in the domain of finance. There are two most common textual sentiment analysis methods in finance: \textit{dictionary-based approach} and \textit{machine learning approach}. The ... -
Unsupervised Syntactic Structure Induction in Natural Language Processing
(University of Waterloo, 2021-09-07)This work addresses unsupervised chunking as a task for syntactic structure induction, which could help understand the linguistic structures of human languages especially, low-resource languages. In chunking, words of a ... -
Using Rhetorical Figures and Shallow Attributes as a Metric of Intent in Text
(University of Waterloo, 2011-05-20)In this thesis we propose a novel metric of document intent evaluation based on the detection and classification of rhetorical figure. In doing so we dispel the notion that rhetoric lacks the structure and consistency ...