Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text

no code implementations • WS 2020 • Shengbin Jia, Ling Ding, Xiaojun Chen, Shijia E, Yang Xiang

Chinese word segmentation is necessary to provide word-level information for Chinese named entity recognition (NER) systems.

Chinese Named Entity Recognition Chinese Word Segmentation +6

Unique Chinese Linguistic Phenomena

no code implementations • 23 Feb 2020 • Shengbin Jia

Linguistics holds unique characteristics of generality, stability, and nationality, which will affect the formulation of extraction strategies and should be incorporated into the relation extraction.

Relation Relation Extraction

Hybrid Neural Tagging Model for Open Relation Extraction

no code implementations • 26 Jul 2019 • Shengbin Jia, Yang Xiang

Furthermore, we propose a hybrid neural network model (HNN4ORT) for open relation tagging.

Feature Engineering Relation +2

Chinese User Service Intention Classification Based on Hybrid Neural Network

no code implementations • 25 Sep 2018 • Shengbin Jia, Yang Xiang

It is difficult for the intelligent system to understand the semantics of user demand which leads to poor recognition effect, because of the noise in user requirement descriptions.

Classification General Classification +2

Triple Trustworthiness Measurement for Knowledge Graph

1 code implementation • 25 Sep 2018 • Shengbin Jia, Yang Xiang, Xiaojun Chen

The Knowledge graph (KG) uses the triples to describe the facts in the real world.