Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 7 of 7 for “"Intent Classification"”.
-
Natural Language Processing and Recommendation Engine for Stack Overflow Data
Query intent classification is important for information retrieval and problem solving. We use natural language processing and collaborative filtering algorithms to build a recommendation engine for Stack Overflow tag predictions. Our pipeline consists of document retrieval (TF-IDF and HOTT), text …
-
Neural Enhancement Strategies for Robust Speech Processing
… improve the performance of back-end speech-based classification tasks in noisy conditions. In detail, we propose a pipeline that integrates the Wave-U-Net (later this model is modified to the Dilated Encoder Wave-U-Net) as a pre-processing stage for noise elimination with a temporal convolution …
-
Multimodal intent recognition for natural human-robotic interaction
… for topic spotting be used to identify spoken intent in unconstrained natural speech? Can gesture recognition systems based on statistical speech recognition techniques be used to bridge the gap between physical movements and recognition of gestural intent? How can speech and gesture be …
-
Design and Development of a Chatbot as an Alternative Web-browser for those with Severe Motor Impairments
… technique was developed. This method enhanced intent classification accuracy by 4.39% (from 75.86% to 80.25%) without compromising user privacy or requiring large-scale data collection from vulnerable populations. Using an optimized AR-based eye-gaze chatbot, this dissertation lays the …
-
Learning speech embeddings for speaker adaptation and speech understanding
… We show that this technique increases the intent classification accuracy as compared to a speech-only system. The second SLU problem is the label imbalance problem in the datasets, which is also related to fairness since a model trained on skewed data usually leads to biased results. To …
-
Moving and adapting with a learning exoskeleton
… and rehabilitation. Appropriately mapping human intent to exoskeleton action is crucial. Generating this mapping can be difficult, as operator movements are constrained by the exoskeletons they are trying to control. This problem is particularly significant with upper-body exoskeletons, where …
-
Understanding user intents in online health forums
… extract useful information. Understanding the intents of people who post on these forums would enable the retrieval of relevant information from existing threads which would in turn allow users to more effectively find answers to their medical needs. In this paper, we derive a taxonomy of …