9 citations · 19 across the 5 of their papers we have counts for
6 papers · 1 filter
Contrastive Document Representation Learning with Graph Attention Networks
Peng Xu, Xinchi Chen, Xiaofei Ma +2
Recent progress in pretrained Transformer-based language models has shown great success in learning contextual representation of text. However, due to the quadratic self-attention…
Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks
Xinchi Chen, Chunchuan Lyu, Ivan Titov
Semantic role labeling (SRL) involves extracting propositions (i.e. predicates and their typed arguments) from natural language sentences. State-of-the-art SRL models rely on power…
Switch-LSTMs for Multi-Criteria Chinese Word Segmentation
Jingjing Gong, Xinchi Chen, Tao Gui +1
Multi-criteria Chinese word segmentation is a promising but challenging task, which exploits several different segmentation criteria and mines their common underlying knowledge. In…
Toward Diverse Text Generation with Inverse Reinforcement Learning
Zhan Shi, Xinchi Chen, Xipeng Qiu +1
Text generation is a crucial task in NLP. Recently, several adversarial generative models have been proposed to improve the exposure bias problem in text generation. Though these m…
DAG-based Long Short-Term Memory for Neural Word Segmentation
Xinchi Chen, Zhan Shi, Xipeng Qiu +1
Neural word segmentation has attracted more and more research interests for its ability to alleviate the effort of feature engineering and utilize the external resource by the pre-…
A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network
Chenxi Zhu, Xipeng Qiu, Xinchi Chen +1
In this work, we address the problem to model all the nodes (words or phrases) in a dependency tree with the dense representations. We propose a recursive convolutional neural netw…