22 citations · 44 across the 7 of their papers we have counts for
10 papers · 1 filter
Pre-training for Spoken Language Understanding with Joint Textual and Phonetic Representation Learning
Qian Chen, Wen Wang, Qinglin Zhang
In the traditional cascading architecture for spoken language understanding (SLU), it has been observed that automatic speech recognition errors could be detrimental to the perform…
Discriminative Self-training for Punctuation Prediction
Qian Chen, Wen Wang, Mengzhe Chen +1
Punctuation prediction for automatic speech recognition (ASR) output transcripts plays a crucial role for improving the readability of the ASR transcripts and for improving the per…
Sequential Neural Networks for Noetic End-to-End Response Selection
Qian Chen, Wen Wang
The noetic end-to-end response selection challenge as one track in the 7th Dialog System Technology Challenges (DSTC7) aims to push the state of the art of utterance classification…
Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection
Qian Chen, Mengzhe Chen, Bo Li +1
With the increased applications of automatic speech recognition (ASR) in recent years, it is essential to automatically insert punctuation marks and remove disfluencies in transcri…
Transfer Learning for Context-Aware Spoken Language Understanding
Qian Chen, Zhu Zhuo, Wen Wang +1
Spoken language understanding (SLU) is a key component of task-oriented dialogue systems. SLU parses natural language user utterances into semantic frames. Previous work has shown…
Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models
Zhi-Xiu Ye, Qian Chen, Wen Wang +1
The state-of-the-art pre-trained language representation models, such as Bidirectional Encoder Representations from Transformers (BERT), rarely incorporate commonsense knowledge or…