34 citations · 40 across the 7 of their papers we have counts for
5 papers · 1 filter
BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction
Weipeng Huang, Xingyi Cheng, Taifeng Wang +1
In this paper, we report our method for the Information Extraction task in 2019 Language and Intelligence Challenge. We incorporate BERT into the multi-head selection framework for…
Partially Observable Markov Decision Process Modelling for Assessing Hierarchies
Weipeng Huang, Guangyuan Piao, Raul Moreno +1
Hierarchical clustering has been shown to be valuable in many scenarios. Despite its usefulness to many situations, there is no agreed methodology on how to properly evaluate the h…
--means: A Robust and Stable -means Variant
Yiming Li, Yang Zhang, Qingtao Tang +3
-means algorithm is one of the most classical clustering methods, which has been widely and successfully used in signal processing. However, due to the thin-tailed property of t…
Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach
Weipeng Huang, Nishma Laitonjam, Guangyuan Piao +1
This paper focuses on the problem of hierarchical non-overlapping clustering of a dataset. In such a clustering, each data item is associated with exactly one leaf node and each in…
Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning
Weipeng Huang, Xingyi Cheng, Kunlong Chen +2
The ambiguous annotation criteria lead to divergence of Chinese Word Segmentation (CWS) datasets in various granularities. Multi-criteria Chinese word segmentation aims to capture…