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Spring 2015

de Sa Mesquita, Filipe

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...

Fall 2022

Parniani,Mohammad Sahand

Graph-based Knowledge Bases (KBs) are composed of relational facts that can be perceived as two entities, called head and tail, linked through a relation. Processes of constructing KBs, i.e., populating them with such facts, as well as revising and updating them are of special importance. Such...

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...

2024-04-20

Armoush, Nour., Gorgun, Guher., Wongvorachan, Tarid, Gierl, Mark., Bulut, Okan.

Computer-based testing (CBT) has been growing more popular alongside the advancement of educational technology. As the demand for CBT rises, it is vital that large item banks are also being created. The traditional method of producing items is expensive, time consuming, and lacks scalability....

Fall 2023

Ogezi, Michael

This thesis introduces a new approach for grounding concepts to vision using visual descriptions, which are text-based descriptions of visual attributes. We hypothesize that these descriptions can enhance the grounding of concepts to vision, thereby improving performance in vision-language tasks....

Fall 2023

Alexander, Graham

Explainable artificial intelligence models are becoming increasingly important as restrictions grow for corporate use of blackbox models whose predictions affect people’s lives and yet cannot be interpreted. Black boxes do not convey trust to end-users and are difficult to train and debug for...

Spring 2023

Strobl, Michael

This thesis describes the design of a system that is capable of the generation of a Knowledge Graph (KG), referred to as Knowledge Graph Population (KGP), from conversations, specifically with elderly people. While this system still follows a traditional KGP approach with Entity Recognition (ER),...

Spring 2024

Costello, Jeremy

We introduce the background of the natural language processing field, outlining the benefits and drawbacks of rule-based versus statistical methods. We present knowledge graphs as a way to integrate the explainability of rule-based methods and the power of statistical methods, large language...

Spring 2023

Viggiato De Almeida, Markos

The gaming industry has experienced a sharp growth in recent years, surpassing other popular entertainment segments, such as the film industry. With the ever-increasing scale of the gaming industry and the fact that players are extremely difficult to satisfy, it has become extremely challenging...

Fall 2020

Luan, Yixing

Word sense disambiguation (WSD) is one of the core tasks in natural language processing and its objective is to identify the sense of a content word (nouns, verbs, adjectives, and adverbs) in context, given a predefined sense inventory. Although WSD is a monolingual task, it has been conjectured...