Nested Mention Recognition

10 papers with code • 2 benchmarks • 4 datasets

Nested mention recognition is the task of correctly modeling the nested structure of mentions.

Most implemented papers

A Unified MRC Framework for Named Entity Recognition

ShannonAI/mrc-for-flat-nested-ner ACL 2020

Instead of treating the task of NER as a sequence labeling problem, we propose to formulate it as a machine reading comprehension (MRC) task.

Nested Named Entity Recognition via Second-best Sequence Learning and Decoding

yahshibu/nested-ner-tacl2020-transformers 5 Sep 2019

When an entity name contains other names within it, the identification of all combinations of names can become difficult and expensive.

A Neural Layered Model for Nested Named Entity Recognition

meizhiju/layered-bilstm-crf NAACL 2018

Each flat NER layer is based on the state-of-the-art flat NER model that captures sequential context representation with bidirectional Long Short-Term Memory (LSTM) layer and feeds it to the cascaded CRF layer.

Neural Segmental Hypergraphs for Overlapping Mention Recognition

berlino/overlapping-ner-em18 EMNLP 2018

In this work, we propose a novel segmental hypergraph representation to model overlapping entity mentions that are prevalent in many practical datasets.

A Neural Transition-based Model for Nested Mention Recognition

berlino/nest-trans-em18 EMNLP 2018

It is common that entity mentions can contain other mentions recursively.

Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks

sanmusunrise/ARNs ACL 2019

In this paper, we propose to resolve this problem by modeling and leveraging the head-driven phrase structures of entity mentions, i. e., although a mention can nest other mentions, they will not share the same head word.

Multi-Grained Named Entity Recognition

congyingxia/Multi-Grained-NER ACL 2019

This paper presents a novel framework, MGNER, for Multi-Grained Named Entity Recognition where multiple entities or entity mentions in a sentence could be non-overlapping or totally nested.

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

fishjh2/merge_label ACL 2019

Named entity recognition (NER) is one of the best studied tasks in natural language processing.

Neural Architectures for Nested NER through Linearization

ufal/acl2019_nested_ner ACL 2019

We propose two neural network architectures for nested named entity recognition (NER), a setting in which named entities may overlap and also be labeled with more than one label.

Bipartite Flat-Graph Network for Nested Named Entity Recognition

cslydia/BiFlaG ACL 2020

In this paper, we propose a novel bipartite flat-graph network (BiFlaG) for nested named entity recognition (NER), which contains two subgraph modules: a flat NER module for outermost entities and a graph module for all the entities located in inner layers.