End-to-End BERT-Based Coreference System

The “CockrACE” corpus consists of 140 news articles annotated with mentions of entities and their coreference links, as well as relation mentions for the evaluation of relation extraction (RE) experiments. Three semantic relations have been annotated, each of them dealing with people's family relationships (marriages, brother/sister, parent/child).

This is our solution for the RuCoCo-23 shared task described in "Light Coreference Resolution for Russian with Hierarchical Discourse Features"

Relationships Extraction from NARrative Documents

Multi-task model for named-entity recognition, relation extraction, entity mention detection and coreference resolution.

The corresponding code for our paper: A sequence-to-sequence approach for document-level relation extraction.

Repository for the OntoGUM Corpus

A multi-lingual approach to AllenNLP CoReference Resolution along with a wrapper for spaCy.

Product Review Summarization

Cross-document event coreference resolution model and code

Code for 3 different coreference resolution models and results on GPT generated test sets.

PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxiv.org/pdf/2210.14698.pdf

基于GOOGLE T5中文生成式模型的摘要生成/指代消解，支持batch批量生成，多进程

Harry Potter Character Interaction Networks: Analyzing character relationships, evolution, and narrative dynamics in J.K. Rowling's wizarding world using network science techniques and data from the Harry Potter series. Explore the magic of storytelling through data.

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"

Towards Evaluation of Cross-document Coreference Resolution Models using Datasets with Diverse Annotation Schemes

Emotion Arc and Character Arc generation, analysis and comparison in fictional narratives

Research project exploring the impact of coreference resolution on knowledge extraction in natural language processing (NLP).

A module for evaluation of coreference chains (in an array/jsonlike format), using common metrics for coreference resolution

A tool for classifying errors in coreference resolution