Nested Named Entity Recognition Edit Task
Natural Language Processing • Named Entity Recognition
About
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).
Benchmarks
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Latest papers without code
Named Entity Recognition in the Style of Object Detection
In this work, we propose a two-stage method for named entity recognition (NER), especially for nested NER.
NESTED NAMED ENTITY RECOGNITION OBJECT DETECTION REGION PROPOSAL
Structured Prediction as Translation between Augmented Natural Languages
We propose a new framework, Translation between Augmented Natural Languages (TANL), to solve many structured prediction language tasks including joint entity and relation extraction, nested named entity recognition, relation classification, semantic role labeling, event extraction, coreference resolution, and dialogue state tracking.
COREFERENCE RESOLUTION DIALOGUE STATE TRACKING EVENT EXTRACTION JOINT ENTITY AND RELATION EXTRACTION MULTI-TASK LEARNING NESTED NAMED ENTITY RECOGNITION RELATION CLASSIFICATION SEMANTIC ROLE LABELING STRUCTURED PREDICTION
A Boundary Regression Model for Nested Named Entity Recognition
Bounding boxes are generated from the feature maps, where a box is an abstract representation of an NE candidate.
CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models
Copy mechanisms are employed in sequence to sequence models (seq2seq) to generate reproductions of words from the input to the output.
NNE: A Dataset for Nested Named Entity Recognition in English Newswire
Named entity recognition (NER) is widely used in natural language processing applications and downstream tasks.
Hierarchical Nested Named Entity Recognition
In the medical domain and other scientific areas, it is often important to recognize different levels of hierarchy in mentions, such as those related to specific symptoms or diseases associated with different anatomical regions.
Deep Exhaustive Model for Nested Named Entity Recognition
We propose a simple deep neural model for nested named entity recognition (NER).
ENTITY LINKING FEATURE ENGINEERING NESTED NAMED ENTITY RECOGNITION RELATION EXTRACTION
Nested Named Entity Recognition Revisited
We propose a novel recurrent neural network-based approach to simultaneously handle nested named entity recognition and nested entity mention detection.
COREFERENCE RESOLUTION NESTED NAMED ENTITY RECOGNITION OPINION MINING RELATION EXTRACTION
10,000+ Times Accelerated Robust Subset Selection (ARSS)
Subset selection from massive data with noised information is increasingly popular for various applications.
Ranked #5 on
Named Entity Recognition
on SciERC
(using extra training data)
ACTION RECOGNITION FINE-GRAINED IMAGE CLASSIFICATION IMAGE GENERATION MACHINE TRANSLATION MUSIC MODELING NESTED NAMED ENTITY RECOGNITION NODE CLASSIFICATION PANOPTIC SEGMENTATION PART-OF-SPEECH TAGGING POSE ESTIMATION RELATION EXTRACTION RGB SALIENT OBJECT DETECTION SEMI-SUPERVISED IMAGE CLASSIFICATION SKELETON BASED ACTION RECOGNITION TEMPORAL ACTION PROPOSAL GENERATION TRAFFIC PREDICTION VISUAL OBJECT TRACKING