Log In Sign Up

Nested Named Entity Recognition as Holistic Structure Parsing

by   Yifei Yang, et al.

As a fundamental natural language processing task and one of core knowledge extraction techniques, named entity recognition (NER) is widely used to extract information from texts for downstream tasks. Nested NER is a branch of NER in which the named entities (NEs) are nested with each other. However, most of the previous studies on nested NER usually apply linear structure to model the nested NEs which are actually accommodated in a hierarchical structure. Thus in order to address this mismatch, this work models the full nested NEs in a sentence as a holistic structure, then we propose a holistic structure parsing algorithm to disclose the entire NEs once for all. Besides, there is no research on applying corpus-level information to NER currently. To make up for the loss of this information, we introduce Point-wise Mutual Information (PMI) and other frequency features from corpus-aware statistics for even better performance by holistic modeling from sentence-level to corpus-level. Experiments show that our model yields promising results on widely-used benchmarks which approach or even achieve state-of-the-art. Further empirical studies show that our proposed corpus-aware features can substantially improve NER domain adaptation, which demonstrates the surprising advantage of our proposed corpus-level holistic structure modeling.


page 1

page 2

page 3

page 4


NNE: A Dataset for Nested Named Entity Recognition in English Newswire

Named entity recognition (NER) is widely used in natural language proces...

Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks

Constituency parsing and nested named entity recognition (NER) are typic...

An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition

Named entity recognition (NER) is the task to detect and classify the en...

Nested Named Entity Recognition with Partially-Observed TreeCRFs

Named entity recognition (NER) is a well-studied task in natural languag...

Effect of depth order on iterative nested named entity recognition models

This paper studies the effect of the order of depth of mention on nested...

MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective

NER model has achieved promising performance on standard NER benchmarks....

Merge and Label: A novel neural network architecture for nested NER

Named entity recognition (NER) is one of the best studied tasks in natur...