98 citations · 188 across the 17 of their papers we have counts for
6 papers · 1 filter
A Sequence-to-Set Network for Nested Named Entity Recognition
Zeqi Tan, Yongliang Shen, Shuai Zhang +2
Named entity recognition (NER) is a widely studied task in natural language processing. Recently, a growing number of studies have focused on the nested NER. The span-based methods…
Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition
Yongliang Shen, Xinyin Ma, Zeqi Tan +3
Named entity recognition (NER) is a well-studied task in natural language processing. Traditional NER research only deals with flat entities and ignores nested entities. The span-b…
Fast End-to-End Speech Recognition via Non-Autoregressive Models and Cross-Modal Knowledge Transferring from BERT
Ye Bai, Jiangyan Yi, Jianhua Tao +3
Attention-based encoder-decoder (AED) models have achieved promising performance in speech recognition. However, because the decoder predicts text tokens (such as characters or wor…
TensorCoder: Dimension-Wise Attention via Tensor Representation for Natural Language Modeling
Shuai Zhang, Peng Zhang, Xindian Ma +3
Transformer has been widely-used in many Natural Language Processing (NLP) tasks and the scaled dot-product attention between tokens is a core module of Transformer. This attention…
Rnn-transducer with language bias for end-to-end Mandarin-English code-switching speech recognition
Shuai Zhang, Jiangyan Yi, Zhengkun Tian +2
Recently, language identity information has been utilized to improve the performance of end-to-end code-switching (CS) speech recognition. However, previous works use an additional…
A Tensorized Transformer for Language Modeling
Xindian Ma, Peng Zhang, Shuai Zhang +4
Latest development of neural models has connected the encoder and decoder through a self-attention mechanism. In particular, Transformer, which is solely based on self-attention, h…