From user perceptions to technical improvement: Enabling people who stutter to better use speech recognition
Consumer speech recognition systems do not work as well for many people with speech
differences, such as stuttering, relative to the rest of the general population. However, what …
differences, such as stuttering, relative to the rest of the general population. However, what …
A cognitive assistant for operators: Ai-powered knowledge sharing on complex systems
SK Freire, SS Panicker, S Ruiz-Arenas… - IEEE Pervasive …, 2022 - ieeexplore.ieee.org
Operating a complex and dynamic system, such as an agile manufacturing line, is a
knowledge-intensive task. It imposes a steep learning curve on novice operators and …
knowledge-intensive task. It imposes a steep learning curve on novice operators and …
Improving generalizability in implicitly abusive language detection with concept activation vectors
Robustness of machine learning models on ever-changing real-world data is critical,
especially for applications affecting human well-being such as content moderation. New …
especially for applications affecting human well-being such as content moderation. New …
Analysis and tuning of a voice assistant system for dysfluent speech
Dysfluencies and variations in speech pronunciation can severely degrade speech
recognition performance, and for many individuals with moderate-to-severe speech …
recognition performance, and for many individuals with moderate-to-severe speech …
[HTML][HTML] Uncertainty and traffic-aware active learning for semantic parsing
Collecting training data for semantic parsing is a time-consuming and expensive task. As a
result, there is growing interest in industry to reduce the number of annotations required to …
result, there is growing interest in industry to reduce the number of annotations required to …
A multitask active learning framework for natural language understanding
H Zhu, W Ye, S Luo, X Zhang - Proceedings of the 28th …, 2020 - aclanthology.org
Natural language understanding (NLU) aims at identifying user intent and extracting
semantic slots. This requires sufficient annotating data to get considerable performance in …
semantic slots. This requires sufficient annotating data to get considerable performance in …
Noise robust named entity understanding for voice assistants
Named Entity Recognition (NER) and Entity Linking (EL) play an essential role in voice
assistant interaction, but are challenging due to the special difficulties associated with …
assistant interaction, but are challenging due to the special difficulties associated with …
The Human Factors of AI-Empowered Knowledge Sharing
S Kernan Freire - Extended Abstracts of the 2023 CHI Conference on …, 2023 - dl.acm.org
Many industries are facing the challenge of how to capture workers' knowledge such that it
can be shared, in particular tacit knowledge. The operation of complex systems such as a …
can be shared, in particular tacit knowledge. The operation of complex systems such as a …
MRC examples answerable by BERT without a question are less effective in MRC model training
H Li, T Chen, S Bai, T Utsuro… - Proceedings of the 1st …, 2020 - aclanthology.org
Abstract Models developed for Machine Reading Comprehension (MRC) are asked to
predict an answer from a question and its related context. However, there exist cases that …
predict an answer from a question and its related context. However, there exist cases that …
Autonlu: Detecting, root-causing, and fixing nlu model errors
Improving the quality of Natural Language Understanding (NLU) models, and more
specifically, task-oriented semantic parsing models, in production is a cumbersome task. In …
specifically, task-oriented semantic parsing models, in production is a cumbersome task. In …