Coreference resolution using the Stanford CoreNLP library and a LSTM RNN architecture.
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Updated
Dec 8, 2022 - Python
Coreference resolution using the Stanford CoreNLP library and a LSTM RNN architecture.
Tracing Origins: Coreference-aware Machine Reading Comprehension (ACL 2022)
Code for 3 different coreference resolution models and results on GPT generated test sets.
Resources for "Model-based annotation of coreference"
Text mining movie scripts to explore long-term trend of female representation in movies according to the Bechdel test
This deep-coref repository is mainly about entity coreference resolution.
Supplementary materials for the paper "Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution" (Emelin et al., 2021)
This repository contains code and models for BS thesis written by Egor Yatsishin. Moscow, NRU HSE, Fundamental and Computational Linguistics, 2021.
Code for the report titled: "Detecting Factually Erroneous References in Abstractive Summarisation Using Coreference Resolution"
Site for testing a coreference resolution system on a user-friendly web interface.
High-accuracy NLP parser with models for 11 languages.
This is a companion repository to seq2rel (https://github.com/JohnGiorgi/seq2rel) which aims to make it easy to generate training data.
A Streamlit app to perform coreference resolution using NeuralCoref and spaCy.
An easy to use thin wrapper on top of neuralcoref library from Huggingface for coreference resolution
Coreference Resolution project that reached 89.86% accuracy score on the GAP dataset. I developed it in Pytorch using Transformers and BiLSTMs.
A module for evaluation of coreference chains (in an array/jsonlike format), using common metrics for coreference resolution
Pytorch implementation of c2f-coref model
Implementation of a "End-to-end Neural Coreference Resolution" model. *Note* end goal is to compare LLM with neural models.
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