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Spring 2010

Walny, Jagoda K

We propose a framework for semi-automatically verifying relational database schema mappings for data exchange. Schema mappings for data exchange formally describe how to move data between a source and target database. State-of-the-art schema mapping tools propose several mappings, but require...

Spring 2021

Hejazizo, Ali

Paraphrasing involves changing the expression of a sentence and rewording it to inform the same information as the original sentence and can occur at word-level, phrase-level, or sentence-level. Paraphrasing task has been attracting attention in recent years as several natural language processing...

Spring 2024

Mohammed, Hayat S

Trajectory data analysis refers to the systematic exploration of spatial and temporal movement patterns in trajectory datasets. Missing trajectory points pose a challenge as they affect downstream tasks that rely on these datasets, such as public transportation management, wildlife monitoring,...

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 2021

Ranganathan, Varun

Large-scale Knowledge Graphs (KGs) built from Web resources have gained in importance and popularity in support of applications such as question answering, which are ubiquitous, and also as a source of training data for a plethora of tasks in natural language processing and artificial...

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 2024

Shahriar, Arif

Bengali and Hind are two widely spoken yet low-resource languages. The state-of-the-art in modeling such languages uses BERT and the Wordpiece tokenizer. We observed that the Wordpiece tokenizer often breaks words into meaningless tokens, failing to separate roots from affixes. Moreover,...

Spring 2023

Ashrafi Asli, Seyed Arad

With machine learning models becoming more complicated and more widely applied to solve real-world challenges, there comes the need to explain their reasoning. In parallel with the advancements of deep learning methods, Explainable AI (XAI) algorithms have been proposed to address the issue of...

Spring 2020

Macdonald, Erin

Knowledge graphs are an important source of information used in a number of applications including web search, online shopping, social networking, and chatbots. They are an effective way of storing real-world data in a machine-readable format. As a result, the construction of comprehensive,...

Fall 2011

Leighton, Gregory

Data federations allow the contents of multiple source databases to be accessed in a consistent manner. Since each source database is typically administered independently, heterogeneity often results, both in terms of how data is represented (i.e., the database schema), and in how controlled...