Relationships Extraction from NARrative Documents
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Updated
May 21, 2024 - Python
Relationships Extraction from NARrative Documents
Repository for the OntoGUM Corpus
A multi-lingual approach to AllenNLP CoReference Resolution along with a wrapper for spaCy.
End-to-End BERT-Based Coreference System
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
Implementation of a "End-to-end Neural Coreference Resolution" model. *Note* end goal is to compare LLM with neural models.
This is our solution for the RuCoCo-23 shared task described in "Light Coreference Resolution for Russian with Hierarchical Discourse Features"
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
Coreference Resolution project that reached 89.86% accuracy score on the GAP dataset. I developed it in Pytorch using Transformers and BiLSTMs.
🪿 Han-Coref: Thai Coreference resolution by PyThaiNLP
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