BERT for Coreference Resolution
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Updated
Dec 8, 2022 - Python
BERT for Coreference Resolution
Build and train state-of-the-art natural language processing models using BERT
基于SpanBert的中文指代消解,pytorch实现
In the field of Natural Language Processing, the detection of text toxicity has become a significant challenge. To facilitate the research in this sphere, one of the tasks of the International Workshop on Semantic Evaluation 2021 is Toxic Spans Detection. The essential objective of this task is to identify toxic spans within English passages. In…
This repository contains code and models for BS thesis written by Egor Yatsishin. Moscow, NRU HSE, Fundamental and Computational Linguistics, 2021.
Extracting Emotion-Cause Pairs from Conversations: A Two-Step Approach Using Emotion Classification and QA Models
information_extractor is a tool that leverages spaCy for coreference resolution and SpanBERT for relation extraction. This project integrates named entity recognition (NER) with relation extraction to identify and analyze relationships between entities in text.
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