Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).

A Simple but Powerful SOTA NER Model | Official Code For Label Supervised LLaMA Finetuning

PyTorch code for paper, 'Split-NER: Named Entity Recognition via Two Question-Answering-based Classifications', ACL'23

Ontonotes-5-parsing: parser of Ontonotes 5.0 to transform this corpus to a simple JSON format

State-of-the-art efficient coreference. This repository contains the code for the CRAC-2023 paper "CAW-coref: Conjunction-Aware Word-level Coreference Resolution". Forked from the EMNLP-2021 paper "Word-Level Coreference Resolution"

Code and data for the paper 'Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings'