Location History:
- Bellevue, WA (US) (2019)
- Pittsburgh, PA (US) (2019)
- New Taipei, TW (2022 - 2023)
Company Filing History:
Years Active: 2019-2023
Title: Innovations of Yun-Nung Chen
Introduction
Yun-Nung Chen is a prominent inventor based in Bellevue, WA, known for his significant contributions to the field of language understanding technologies. With a total of four patents to his name, Chen has made strides in developing advanced neural network models that enhance spoken language processing.
Latest Patents
One of Chen's latest patents is titled "Multi-domain joint semantic frame parsing." This innovation involves a processing unit that can train a model as a joint multi-domain recurrent neural network (JRNN), such as a bi-directional recurrent neural network (bRNN) and/or a recurrent neural network with long-short term memory (RNN-LSTM) for spoken language understanding (SLU). The trained model can jointly model slot filling, intent determination, and domain classification, enabling the estimation of a complete semantic frame per query. This joint multi-domain model facilitates multi-task deep learning by leveraging data from multiple domains.
Another notable patent is "End-to-end memory networks for contextual language understanding." This invention allows a processing unit to extract salient semantics to model knowledge carryover in multi-turn conversations. The architecture utilizes end-to-end memory networks to encode inputs, such as utterances with intents and slots, which are stored as embeddings in memory. The model can exploit latent contextual information from memory to enhance semantic parsing, joint intent prediction, and slot tagging.
Career Highlights
Yun-Nung Chen is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate in the field of language processing technologies. His work has significantly impacted the development of systems that understand and process human language more effectively.
Collaborations
Chen collaborates with notable colleagues, including Dilek Zeynep Hakkani-Tur and Gokhan Tur, who contribute to the advancement of language understanding technologies alongside him.
Conclusion
Yun-Nung Chen's contributions to the field of spoken language understanding through his innovative patents demonstrate his expertise and commitment to advancing technology. His work at Microsoft Technology Licensing, LLC, along with his collaborations, positions him as a key figure in the ongoing evolution of language processing systems.
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