Dependency-Guided LSTM-CRF for Named Entity Recognition

09/23/2019
by   Zhanming Jie, et al.
0

Dependency tree structures capture long-distance and syntactic relationships between words in a sentence. The syntactic relations (e.g., nominal subject, object) can potentially infer the existence of certain named entities. In addition, the performance of a named entity recognizer could benefit from the long-distance dependencies between the words in dependency trees. In this work, we propose a simple yet effective dependency-guided LSTM-CRF model to encode the complete dependency trees and capture the above properties for the task of named entity recognition (NER). The data statistics show strong correlations between the entity types and dependency relations. We conduct extensive experiments on several standard datasets and demonstrate the effectiveness of the proposed model in improving NER and achieving state-of-the-art performance. Our analysis reveals that the significant improvements mainly result from the dependency relations and long-distance interactions provided by dependency trees.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/12/2021

Better Feature Integration for Named Entity Recognition

It has been shown that named entity recognition (NER) could benefit from...
research
09/11/2019

Dependency-Aware Named Entity Recognition with Relative and Global Attentions

Named entity recognition is one of the core tasks in NLP. Although many ...
research
09/15/2021

Low-Resource Named Entity Recognition Based on Multi-hop Dependency Trigger

This paper presents a simple and effective approach in low-resource name...
research
10/19/2018

Efficient Dependency-Guided Named Entity Recognition

Named entity recognition (NER), which focuses on the extraction of seman...
research
09/28/2017

Graph Convolutional Networks for Named Entity Recognition

In this paper we investigate the role of the dependency tree in a named ...
research
08/03/2023

Learning Implicit Entity-object Relations by Bidirectional Generative Alignment for Multimodal NER

The challenge posed by multimodal named entity recognition (MNER) is mai...
research
08/31/2015

Word Representations, Tree Models and Syntactic Functions

Word representations induced from models with discrete latent variables ...

Please sign up or login with your details

Forgot password? Click here to reset