NAACL'2021: A Frustratingly Easy Approach for Entity and Relation Extraction

Bert-based models(BERT, MTB, CP) for relation extraction.

Code for our paper "Graph Language Models"

Repository hosting the large language model EconBERTa and the annotated dataset EconIE

Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"

This is the implementation of Dependency-driven Relation Extraction with Attentive Graph Convolutional Networks at ACL 2021.

Source code for "Packed Levitated Marker for Entity and Relation Extraction"

An open-source NLP research library, built on PyTorch.

Enhancing Targeted Minority Class Prediction in Sentence-level Relation Extraction

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

Using pretrained language models for biomedical knowledge graph completion.

Code for RECENT

Code and models for the paper "Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations" at the Web Conference 2021

Source code for ACL 2021 paper "ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning"

PyTorch code for JEREX: Joint Entity-Level Relation Extractor

Coreference Resolution

PyTorch code for SpERT: Span-based Entity and Relation Transformer

Implementation for "Deeper Task-Specificity Improves Joint Entity and Relation Extraction"

Source code for paper "Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling", AAAI 2021

PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper

Code associated with the paper **Two are Better Than One: Joint Entity and Relation Extraction with Table-Sequence Encoders**, at EMNLP 2020

PYthon Automated Term Extraction

Simple docker deployment of document layout analysis using detectron2