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Fall 2013

Esteki, Afsaneh

The amount of information available on the Web is rapidly growing, and the need for extracting more useful and relevant data from this tremendously large source has become an interesting research challenge. Among various types of useful information that can be extracted, lists in particular are...

Spring 2022

Sajadfar, Narges

Industrial construction projects are usually mega-projects that involve millions of labour person-hours and generate hundreds of thousands of documents. Construction documents represent a vital source of information and knowledge regarding the project scope. Documents come in different types and...

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 2024

Nahid, Md Mahadi Hasan

Table reasoning is a challenging task that requires understanding both natural language questions and structured tabular data. While Large Language Models (LLMs) have shown impressive capabilities in natural language understanding and generation, they often struggle with large tables due to their...

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),...