104 citations · 144 across the 8 of their papers we have counts for
8 papers
On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation
Yongjie Wang, Chuan Wang, Ruobing Li +1
In recent years, pre-trained models have become dominant in most natural language processing (NLP) tasks. However, in the area of Automated Essay Scoring (AES), pre-trained models…
Attention-based Transducer for Online Speech Recognition
Bin Wang, Yan Yin, Hui Lin
Recent studies reveal the potential of recurrent neural network transducer (RNN-T) for end-to-end (E2E) speech recognition. Among some most popular E2E systems including RNN-T, Att…
Gated Convolutional Bidirectional Attention-based Model for Off-topic Spoken Response Detection
Yefei Zha, Ruobing Li, Hui Lin
Off-topic spoken response detection, the task aiming at predicting whether a response is off-topic for the corresponding prompt, is important for an automated speaking assessment s…
Attention-based sequence-to-sequence model for speech recognition: development of state-of-the-art system on LibriSpeech and its application to non-native English
Yan Yin, Ramon Prieto, Bin Wang +4
Recent research has shown that attention-based sequence-to-sequence models such as Listen, Attend, and Spell (LAS) yield comparable results to state-of-the-art ASR systems on vario…
A Simple but Effective Classification Model for Grammatical Error Correction
Zhu Kaili, Chuan Wang, Ruobing Li +3
We treat grammatical error correction (GEC) as a classification problem in this study, where for different types of errors, a target word is identified, and the classifier predicts…
Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units
Zhangyu Xiao, Zhijian Ou, Wei Chu +1
In this paper, we present an end-to-end automatic speech recognition system, which successfully employs subword units in a hybrid CTC-Attention based system. The subword units are…