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.
Project for an NLP course, giving a short overview on Coreference resolution systems and a comparison of their several practical implications.
Tracing Origins: Coreference-aware Machine Reading Comprehension (ACL 2022)
LD Connect: A Linked Data Portal for IOS Press Scientometrics
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 repository can be referred for Named Entity Recognition, Relation Extraction, and Coreference Resolution Tasks using StanfordCoreNLP Library. More NLP tasks will be uploaded soon
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"
Dataset for Arabic Anaphora
This deep-coref repository is mainly about entity coreference resolution.
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).
Supplementary materials for the paper "Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution" (Emelin et al., 2021)
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.
This repository is an implementation of coreference resolution models.
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