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- 10Machine Learning
- 5Artificial Intelligence
- 3NLP
- 3Reinforcement Learning
- 2Computer Vision
- 1Alexander, Graham
- 1Armoush, Nour.
- 1Bulut, Okan.
- 1Campbell, Hazel V
- 1Costello, Jeremy
- 1Dhankar, Abhishek
- 27Graduate and Postdoctoral Studies (GPS), Faculty of
- 27Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 1Philosophy, Department of
- 1Philosophy, Department of/Journal Articles (Philosophy)
- 1Education, Faculty of
- 1Education, Faculty of/Graduate Research Showcase (Education)
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Fall 2021
The management of project documentation involves processing a large amount of important information embedded in different contract and project specification documents. Although contract-related documentation is critical for effective information flow and—in turn—successful project management, it...
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An Exploration of Dialog Act Classification in Open-domain Conversational Agents and the Applicability of Text Data Augmentation
DownloadFall 2023
Recognizing dialog acts of users is an essential component in building successful conversational agents. In this work, we propose a dialog act (DA) classifier for two of our open domain conversational agents. For this, we curated a high-quality, multi-domain dataset with ∼24k user utterances...
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Application of Natural Language Processing and Information Retrieval in Two Software Engineering Tools
DownloadFall 2021
Many software engineering problems have traditionally been approached by applying techniques based on static analysis and fixed sets of rules. I created two novel techniques to tackle three software engineering problems: typo location, fix suggestion, and crash report bucket creation. However,...
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Fall 2009
Answer typing is an important aspect of the question answering process. Most commonly addressed with the use of a fixed set of possible answer classes via question classification, answer typing influences which answers will ultimately be selected as correct. Answer typing introduces the concept...
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Spring 2016
Algorithmic decipherment is a prime example of a truly unsupervised problem. This thesis presents several algorithms developed for the purpose of decrypting unknown alphabetic scripts representing unknown languages. We assume that symbols in scripts which contain no more than a few dozen unique...
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Fall 2019
The conversion of romanized texts back to the native scripts is a challenging task because of the inconsistent romanization conventions and non-standard language use. This problem is compounded by code-mixing, i.e., using words from more than one language within the same discourse. Considering...
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Spring 2024
In the era of artificial intelligence, neural models have emerged as a powerful tool for tackling a wide range of tasks. However, these models are commonly regarded as black-box systems, making it difficult to understand their internal workings. The natural language explanation task seeks to...
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Spring 2015
This work is concerned with the problem of extracting structured information networks from a text corpus. The nodes of the network are recognizable entities, typically people, locations, or organizations, while the edges denote relations among such entities. We use state-of-the-art natural...
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1982
Pelletier, Francis J., Schubert, Lenhart K.
Introduction: We describe an approach to parsing and logical translation that was inspired by Gazdar's work on context-free grammar for English. Each grammar rule consists of a syntactic part that specifies an acceptable fragment of a parse tree, and a semantic part that specifies how the logical...