Distantly-Supervised Joint Entity and Relation Extraction with Noise-Robust Learning
-
Updated
May 25, 2024 - Python
Distantly-Supervised Joint Entity and Relation Extraction with Noise-Robust Learning
Creation of a NER-annotated corpus using Wikipedia and WikiData.
skweak: A software toolkit for weak supervision applied to NLP tasks
[EMNLP 2023] Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models
Codebase for the ACL 2023 paper: "Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data"
Dataset as a part of RANLP'2019 paper "Distant Supervision for Sentiment Attitude Extraction"
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
MIL-RBERT: A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction (BioNLP @ ACL 2020)
EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Scientific Entity Extraction of Model names using Distantly Supervised training set, Graph Ranking and Domain specific sequence labeller.
Earth observations, especially satellite data, have produced a wealth of methods and results in meeting global challenges, often presented in unstructured texts such as papers or reports. Accurate extraction of satellite and instrument entities from these unstructured texts can help to link and reuse Earth observation resources.
Resources for the paper "PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction"
ACL 2021
Workflow source code for ISPRAS-2021 journal paper "Language Models Application in Sentiment Attitude Extraction Task" (in Russian)
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
[ACL 19] Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
Implementation of Neural Relation Extraction with Selective Attention over Instances.
Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions
Add a description, image, and links to the distant-supervision topic page so that developers can more easily learn about it.
To associate your repository with the distant-supervision topic, visit your repo's landing page and select "manage topics."