7 citations · 10 across the 4 of their papers we have counts for
7 papers
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…
Automated Curriculum Learning for Turn-level Spoken Language Understanding with Weak Supervision
Hao Lang, Wen Wang
We propose a learning approach for turn-level spoken language understanding, which facilitates a user to speak one or more utterances compositionally in a turn for completing a tas…
BERT for Joint Intent Classification and Slot Filling
Qian Chen, Zhu Zhuo, Wen Wang
Intent classification and slot filling are two essential tasks for natural language understanding. They often suffer from small-scale human-labeled training data, resulting in poor…