Browsing by Subject "Natural Language Processing"
Now showing items 1-14 of 14
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Receiving insight into the thoughts and feelings of a recruiter is vital to understanding effective job interviews. To ascertain categorical responses and speech patterns, audio and visual data from mock job interviews ...
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(2023-05-16)News Discourse Profiling is a sub-task of Discourse Parsing, which aims to analyze each sentence’s event-related role and has been proven useful in several downstream tasks. Complex feature extractors are widely employed ...
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(2023-05-16)News Discourse Profiling is a sub-task of Discourse Parsing, which aims to analyze each sentence’s event-related role and has been proven useful in several downstream tasks. Complex feature extractors are widely employed ...
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(2023-05-16)News Discourse Profiling is a sub-task of Discourse Parsing, which aims to analyze each sentence’s event-related role and has been proven useful in several downstream tasks. Complex feature extractors are widely employed ...
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(2020-06-18)Medical diagnosis is the most critical component in the treatment of a patient. But diagnosis often is a complicated process since a myriad of diseases share the same symptoms. If a patient is diagnosed with a disease in ...
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(2020-04-23)The objective of this project is to create a methodology to find communities of similar events based on their context, which is represented by their subevents. The similarity is measured through a new metric we propose, ...
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(2012-10-23)Bioinspired design methods are a new and evolving collection of techniques used to extract biological principles from nature to solve engineering problems. The application of bioinspired design methods is typically confined ...
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(2019-07-12)Information extraction (IE) extracts meaningful knowledge from data. Two important tasks in IE are named entity recognition and relation extraction. Existing approaches in relation extraction treat entity and relation ...
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(2015-05-07)Error Correction has applications in a variety of domains given the prevalence of errors of various kinds and the need to programmatically correct them as accurately as possible. For example, error correction is used in ...
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(2018-07-31)Facility data are essential for any efficient facilities management and operations practices. However, due to the complexity and massive amount of information, interoperability is an important issue in facilities management. ...
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(2021-04-23)Customers on online marketplaces have to proceed with extreme caution before buying any product as they cannot evaluate it physically. Reviews are crucial metrics to gauge the quality and authenticity of the item. This ...
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Large language models (e.g. BERT, GPT) are increasingly being integrated into critical fields like healthcare. Current machine learning applications have been used for patient diagnoses, monitoring and predicting trial ...
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(2022-04-12)Proposal evaluation of pre-Phase A mission concepts is largely based on the input from subject matter experts who determine the scientific merit of a mission concept based on a number of criteria including: the relevance ...
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(2020-12-07)Capabilities of detecting events and recognizing temporal, subevent, or causality relations among events can facilitate many applications in natural language understanding. However, supervised learning approaches that ...