Nested named entity recognition is a subtask of information extraction that seeks to locate and classify nested named entities (i.e., hierarchically structured entities) mentioned in unstructured text (Source: Adapted from Wikipedia).
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We present a joint model for entity-level relation extraction from documents.
Ranked #6 on Relation Extraction on DocRED
With the TreeCRF we achieve a uniform way to jointly model the observed and the latent nodes.
Its hidden state at layer l represents an l-gram in the input text, which is labeled only if its corresponding text region represents a complete entity mention.
Ranked #2 on Nested Named Entity Recognition on GENIA (using extra training data)
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.
Ranked #5 on Nested Mention Recognition on ACE 2005
We propose a boundary-aware neural model for nested NER which leverages entity boundaries to predict entity categorical labels.
Ranked #8 on Named Entity Recognition on GENIA
Instead of treating the task of NER as a sequence labeling problem, we propose to formulate it as a machine reading comprehension (MRC) task.
Ranked #1 on Named Entity Recognition on ACE 2005 (using extra training data)
Our RE system ranked first in the SeeDev-binary Relation Extraction Task with F1-score of 0. 3738.
When an entity name contains other names within it, the identification of all combinations of names can become difficult and expensive.
Ranked #1 on Nested Named Entity Recognition on ACE 2004 (using extra training data)
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.
Ranked #2 on Nested Mention Recognition on ACE 2005
Named entity recognition (NER) is one of the best studied tasks in natural language processing.
Ranked #3 on Nested Mention Recognition on ACE 2005