Effecient coreference resolution system implemented in Python
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Updated
Apr 22, 2018 - Python
Effecient coreference resolution system implemented in Python
This deep-coref repository is mainly about entity coreference resolution.
A pythonic wrapper for Stanford CoreNLP.
Entity linking of personal mentions in multiparty dialogue.
This is an NLP project for the English language which aims to resolve the pronouns present in a piece of text to reflect the noun that they refer to.
Toefel grader
Repository for *SEM Paper on Event Coreference Resolution in ECB+
Site for testing a coreference resolution system on a user-friendly web interface.
Sequence Labeling in Tensorflow
Coreference Model Experimentation (Tensorflow and Pytorch) : Mainly Using transfer learning and Transformer Model BERT
University of Washington, Masters of Computational Linguistics - LING 571 - Deep Processing Techniques for NLP
High-accuracy NLP parser with models for 11 languages.
A spaCy coreference resolution package.
Resources for "Model-based annotation of coreference"
😎 Semantic triplizer of texts 🐸
A Pytorch implementation for "Hierarchical Attention Network with Pairwise Loss for Chinese Zero Pronoun Resolution“ (AAAI 2020).
中文指代消解:基于HFL的预训练模型chinese-roberta-wwm-ext,训练评测CLUE WSC2020数据集
PipelineIE is a project that contains a pipeline for information extraction (currently triple) from free text and domain specific text (eg. biomedical domain) and also supports custom models making it flexible to support other domains. It takes care of coreference resolution and entity resolution by also allowing to test with different tools.
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