PyTorch-IE: State-of-the-art Information Extraction in PyTorch

A curated list of awesome sentiment analysis studies, in which attitude corresponds to the text position conveyed by Subject towards other Object mentioned in text such as: entities, events, etc.

[ACL23] This repository contains the code for our paper "MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset"

An Evaluation of ChatGPT on Information Extraction task, including Named Entity Recognition (NER), Relation Extraction (RE), Event Extraction (EE) and Aspect-based Sentiment Analysis (ABSA).

CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. EMNLP 2023.

We classify the relation between head and tail entity using a Naive Bayes model based on bag-of-words (BoW) features.

Evaluating ChatGPT’s Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness

A set of Python codes for the classification of biomedical relations based on the MeSH keywords of PubMed scholarly publications

Framework to train RE models

Implementation of the link identification task in BERT.

Implemantation of a BERT cascade model

This repository contains the code of my solution for the SemEval-2022 Shared Task 10: Structured Sentiment Analysis.

For learning. Collecting techniques of each step from knowledge graph building processes.

Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"

A PyTorch-based toolkit for natural language processing

code of Relation Classification via Multi-Level Attention CNNs

Argument classification with BERT plus contextual and structural features as text for ICONIP 2022.

This is a little Annotator tool using browser；这是一个基于浏览器运行的中文三元组（命名实体识别和关系分类）联合标注工具

📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

The codebase of my R&D project (Spring 2021) under the supervision of Prof Soumen Chakrabarty at IIT Bombay