no code implementations • ACL (ECNLP) 2021 • Jingxiang Chen, Kai Wei, Xiang Hao
With the rapid growth of online video streaming, recent years have seen increasing concerns about profane language in their content.
no code implementations • 4 May 2023 • Jixuan Wang, Martin Radfar, Kai Wei, Clement Chung
It is challenging to extract semantic meanings directly from audio signals in spoken language understanding (SLU), due to the lack of textual information.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 31 Mar 2023 • Feng-Ju Chang, Thejaswi Muniyappa, Kanthashree Mysore Sathyendra, Kai Wei, Grant P. Strimel, Ross McGowan
Specifically, it leverages dialog acts to select the most relevant user catalogs and creates queries based on both -- the audio as well as the semantic relationship between the carrier phrase and user catalogs to better guide the contextual biasing.
no code implementations • 11 Jul 2022 • Min Yang, Cheng Cui, Xuetong Xue, Hui Ren, Kai Wei
Using this method, we got a public score of 0. 40176 and a private score of 0. 36278 and achieved 2nd place in the Google Landmark Retrieval Competition 2020.
no code implementations • 11 May 2022 • Kai Wei, Dillon Knox, Martin Radfar, Thanh Tran, Markus Muller, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris, Maurizio Omologo
Dialogue act classification (DAC) is a critical task for spoken language understanding in dialogue systems.
no code implementations • 1 Apr 2022 • Xuandi Fu, Feng-Ju Chang, Martin Radfar, Kai Wei, Jing Liu, Grant P. Strimel, Kanthashree Mysore Sathyendra
In addition, the NLU model in the two-stage system is not streamable, as it must wait for the audio segments to complete processing, which ultimately impacts the latency of the SLU system.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 13 Dec 2021 • Kai Wei, Thanh Tran, Feng-Ju Chang, Kanthashree Mysore Sathyendra, Thejaswi Muniyappa, Jing Liu, Anirudh Raju, Ross McGowan, Nathan Susanj, Ariya Rastrow, Grant P. Strimel
Recent years have seen significant advances in end-to-end (E2E) spoken language understanding (SLU) systems, which directly predict intents and slots from spoken audio.
Natural Language Understanding Spoken Language Understanding
no code implementations • 21 Dec 2020 • Jixuan Wang, Kai Wei, Martin Radfar, Weiwei Zhang, Clement Chung
We propose a novel Transformer encoder-based architecture with syntactical knowledge encoded for intent detection and slot filling.
1 code implementation • 18 Jun 2020 • Cheng Cui, Zhi Ye, Yangxi Li, Xinjian Li, Min Yang, Kai Wei, Bing Dai, Yanmei Zhao, Zhongji Liu, Rong Pang
One of the difficulties of this competition is how to use unlabeled data.
Ranked #245 on Image Classification on ImageNet (using extra training data)
2 code implementations • 17 Jul 2018 • Rishabh Iyer, John T. Halloran, Kai Wei
This paper introduces Jensen, an easily extensible and scalable toolkit for production-level machine learning and convex optimization.
no code implementations • 18 Apr 2018 • John Moore, Joel Pfeiffer, Kai Wei, Rishabh Iyer, Denis Charles, Ran Gilad-Bachrach, Levi Boyles, Eren Manavoglu
In real world systems, the predictions of deployed Machine Learned models affect the training data available to build subsequent models.
no code implementations • NeurIPS 2015 • Kai Wei, Rishabh K. Iyer, Shengjie Wang, Wenruo Bai, Jeff A. Bilmes
In the present paper, we bridge this gap, by proposing several new algorithms (including greedy, majorization-minimization, minorization-maximization, and relaxation algorithms) that not only scale to large datasets but that also achieve theoretical approximation guarantees comparable to the state-of-the-art.
no code implementations • NeurIPS 2015 • Kai Wei, Rishabh Iyer, Shengjie Wang, Wenruo Bai, Jeff Bilmes
While the robust versions have been studied in the theory community, existing work has focused on tight approximation guarantees, and the resultant algorithms are not, in general, scalable to very large real-world applications.