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Entity Extraction

14 papers with code · Natural Language Processing

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Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering Tasks

30 Jan 2020L-ENA/HealthINF2020

This paper contributes to solving problems related to ambiguity in PICO sentence prediction tasks, as well as highlighting how annotations for training named entity recognition systems are used to train a high-performing, but nevertheless flexible architecture for question answering in systematic review automation.

ENTITY EXTRACTION NAMED ENTITY RECOGNITION QUESTION ANSWERING READING COMPREHENSION TRANSFER LEARNING WORD EMBEDDINGS

1
30 Jan 2020

MedCAT -- Medical Concept Annotation Tool

18 Dec 2019CogStack/MedCAT

To uncover the potential of biomedical documents we need to extract and structure the information they contain.

ACTIVE LEARNING ENTITY EXTRACTION NAMED ENTITY RECOGNITION

18
18 Dec 2019

CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning

24 Nov 2019WindChimeRan/CopyMTL

The model is extremely weak at differing the head and tail entity, resulting in inaccurate entity extraction.

ENTITY EXTRACTION MULTI-TASK LEARNING RELATION EXTRACTION

39
24 Nov 2019

A Unified MRC Framework for Named Entity Recognition

25 Oct 2019ShannonAI/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.

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

24
25 Oct 2019

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 OPTICAL CHARACTER RECOGNITION

63
20 Sep 2019

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 HIERARCHICAL REINFORCEMENT LEARNING RELATION EXTRACTION

144
09 Nov 2018

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 NAMED ENTITY RECOGNITION

3
01 Jul 2018

A Practical Incremental Learning Framework For Sparse Entity Extraction

COLING 2018 halolimat/SpExtor

This work addresses challenges arising from extracting entities from textual data, including the high cost of data annotation, model accuracy, selecting appropriate evaluation criteria, and the overall quality of annotation.

ACTIVE LEARNING ENTITY EXTRACTION

10
26 Jun 2018

Real-time On-Demand Crowd-powered Entity Extraction

12 Apr 2017windx0303/dialogue-esp-game

Output-agreement mechanisms such as ESP Game have been widely used in human computation to obtain reliable human-generated labels.

ENTITY EXTRACTION

7
12 Apr 2017