Решение задач NER и RE в треке RuREBus с Dialogue 2020.

LOOPCORE ~media.development <web.screen@outlook.com>

Enhanced Subject Word Object Extraction

Relation extraction between genotype and phenotype using named entity recognition and co-occurance

The Google Relation Extraction Corpus updated with useful fields for research tasks

some RE baseline

Exported contrib part of AREkit that is related to ML studies in RuSentRel collection

Automatic Knowledge Acquisition for Special Cargo Domain with Unsupervised Terms and Relations Extraction

a relation extraction project

KLUE Relation Extraction

Code for Paper 《End-to-End Open Domain Relation Extraction in Chinese Field》.

Source code for ISPRAS-2021 journal paper "Language Models Application in Sentiment Attitude Extraction Task" (in Russian)

Contextualized commonsense knowledge

Implemented a Neural Network based on bi-directional LSTM for the sentence-level relation classification- Deep Neural Network Course Project

The model identifies chemical components and genes named entities and extracts the relations of the chemical-gene pair jointly. It utilizes the BioBERT model in the named entity recognition and the graphs neural networks for the RE subtasks.

Mock data that is used for unit testing of the Rosette API bindings

Relation Extraction research done for the Advanced NLP course at NYU

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).