9 citations · 16 across the 10 of their papers we have counts for
7 papers · 1 filter
JSPG: Dynamic Dictionary Filtering via Joint Semantic-Pinyin-Glyph Retrieval for Chinese Contextual ASR
Shilin Zhou, Zhenghua Li
Contextual Automatic Speech Recognition (ASR) faces challenges with large-scale keyword dictionaries, as excessive irrelevant candidates introduce noise that degrades accuracy. To…
Improving Contextual ASR via Multi-grained Fusion with Large Language Models
Shilin Zhou, Zhenghua Li
While end-to-end Automatic Speech Recognition (ASR) models have shown impressive performance in transcribing general speech, they often struggle to accurately recognize contextuall…
Mining Word Boundaries from Speech-Text Parallel Data for Cross-domain Chinese Word Segmentation
Xuebin Wang, Lei Zhang, Zhenghua Li +3
Inspired by early research on exploring naturally annotated data for Chinese Word Segmentation (CWS), and also by recent research on integration of speech and text processing, this…
CopyNE: Better Contextual ASR by Copying Named Entities
Shilin Zhou, Zhenghua Li, Yu Hong +3
End-to-end automatic speech recognition (ASR) systems have made significant progress in general scenarios. However, it remains challenging to transcribe contextual named entities (…
Mining Word Boundaries in Speech as Naturally Annotated Word Segmentation Data
Lei Zhang, Zhenghua Li, Shilin Zhou +4
Inspired by early research on exploring naturally annotated data for Chinese word segmentation (CWS), and also by recent research on integration of speech and text processing, this…
Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsing
Shilin Zhou, Qingrong Xia, Zhenghua Li +3
This paper proposes to cast end-to-end span-based SRL as a word-based graph parsing task. The major challenge is how to represent spans at the word level. Borrowing ideas from rese…
Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments
Yu Zhang, Qingrong Xia, Shilin Zhou +3
Semantic role labeling (SRL) is a fundamental yet challenging task in the NLP community. Recent works of SRL mainly fall into two lines: 1) BIO-based; 2) span-based. Despite ubiqui…