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Greatest papers with code

A Hierarchical Framework for Relation Extraction with Reinforcement Learning

9 Nov 2018truthless11/HRL-RE

The whole extraction process is decomposed into a hierarchy of two-level RL policies for relation detection and entity extraction respectively, so that it is more feasible and natural to deal with overlapping relations.

ENTITY EXTRACTION USING GAN HIERARCHICAL REINFORCEMENT LEARNING RELATION EXTRACTION

A Unified MRC Framework for Named Entity Recognition

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

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)

CHINESE NAMED ENTITY RECOGNITION ENTITY EXTRACTION USING GAN MACHINE READING COMPREHENSION NESTED MENTION RECOGNITION NESTED NAMED ENTITY RECOGNITION

EATEN: Entity-aware Attention for Single Shot Visual Text Extraction

20 Sep 2019beacandler/EATEN

Extracting entity from images is a crucial part of many OCR applications, such as entity recognition of cards, invoices, and receipts.

ENTITY EXTRACTION USING GAN OPTICAL CHARACTER RECOGNITION

Joint Extraction of Events and Entities within a Document Context

NAACL 2016 bishanyang/EventEntityExtractor

Events and entities are closely related; entities are often actors or participants in events and events without entities are uncommon.

ENTITY EXTRACTION USING GAN EVENT EXTRACTION

Automatic Labeling for Entity Extraction in Cyber Security

22 Aug 2013stucco/auto-labeled-corpus

Timely analysis of cyber-security information necessitates automated information extraction from unstructured text.

ENTITY EXTRACTION USING GAN

Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction

COLING 2016 pgcool/TF-MTRNN

This paper proposes a novel context-aware joint entity and word-level relation extraction approach through semantic composition of words, introducing a Table Filling Multi-Task Recurrent Neural Network (TF-MTRNN) model that reduces the entity recognition and relation classification tasks to a table-filling problem and models their interdependencies.

ENTITY EXTRACTION USING GAN JOINT ENTITY AND RELATION EXTRACTION RELATION CLASSIFICATION SEMANTIC COMPOSITION STRUCTURED PREDICTION

Named Entity Recognition for Hindi-English Code-Mixed Social Media Text

WS 2018 SilentFlame/Named-Entity-Recognition

Named Entity Recognition (NER) is a major task in the field of Natural Language Processing (NLP), and also is a sub-task of Information Extraction.

ENTITY EXTRACTION USING GAN NAMED ENTITY RECOGNITION