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Skip to Search Results- 1Babiker, Housam Khalifa Bashier
- 1Bergsma, Shane A
- 1Chen, Jiyang
- 1Dai, Jiayi
- 1Farruque, Nawshad
- 1Morris, Jason P
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A tightness continuum measure of Chinese semantic units, and its application to information retrieval
DownloadSpring 2010
Chinese is very different from alphabetical languages such as English, as there are no delimiters between Chinese words. So Chinese segmentation is an important step for most Chinese natural language processing (NLP) tasks. We propose a tightness continuum for Chinese semantic units. The...
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Fall 2010
Much structured data of scientific interest can be represented as networks, where sets of nodes or vertices are joined together in pairs by links or edges. Although these networks may belong to different research areas, there is one property that many of them do have in common: the network...
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Spring 2023
Babiker, Housam Khalifa Bashier
The recent success of deep neural networks has exposed the problem of model transparency. The need for explainability is particularly critical in sensitive domains. In addition, regulatory frameworks for the “responsible” deployment of AI are emerging, creating legal requirements for transparent,...
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Fall 2010
Natural Language Processing (NLP) develops computational approaches to processing language data. Supervised machine learning has become the dominant methodology of modern NLP. The performance of a supervised NLP system crucially depends on the amount of data available for training. In the...
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Rationale Extraction and Crohn’s Disease Detection from Computed Tomography Enterography Reports
DownloadFall 2023
Building predictive models with higher predictive performance is the common pursuit in text classification tasks. In almost all domains of text classification problems, the current state-of-the-art models (e.g., Bi-LSTM and BERT) are based on deep neural networks that learn language...
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Spreadsheets for Legal Reasoning: The Continued Promise of Declarative Logic Programming in Law
DownloadFall 2020
The legal services market is one in which there is too much demand, and too little supply. One method of increasing supply in a market is to increase efficiency by automating. Automated legal services require the automation of legal reasoning. Declarative logic programming (DLP) has long been...
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Spring 2023
Traditional survey based methods for clinical depression detection are not always effective; the patient may not reflect their actual mental health condition because of the cognitive bias exhibited while filling out questionnaires about depression. Established through ample earlier work, social...