Distantly Supervised corpus for pedagogically motivated relation extraction in Biology domain.
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Updated
Sep 18, 2020
Distantly Supervised corpus for pedagogically motivated relation extraction in Biology domain.
Creation of a NER-annotated corpus using Wikipedia and WikiData.
convert the Riedel Dataset
Official Implementation.
A template for neural relation extraction
Korean Moview Review Emotion (KMRE) Dataset
Workflow source code for ISPRAS-2021 journal paper "Language Models Application in Sentiment Attitude Extraction Task" (in Russian)
Scientific Entity Extraction of Model names using Distantly Supervised training set, Graph Ranking and Domain specific sequence labeller.
Earth observations, especially satellite data, have produced a wealth of methods and results in meeting global challenges, often presented in unstructured texts such as papers or reports. Accurate extraction of satellite and instrument entities from these unstructured texts can help to link and reuse Earth observation resources.
Using GANs to Relax the Bottleneck of Curated Labeled Data, ArxXiv paper: https://arxiv.org/pdf/1803.05137.pdf, CVPR 2018.
Linked Data Knowledge Base Population (KBP) framework built on top of Snorkel. The default configuration uses Wikipedia as text corpus and DBpedia as target.
Distant supervision for neural cross language information retrieval (CLIR)
Repository for the code used in my Master's Thesis: Community-based Abuse Detection: Using Distantly Supervised Data and Biased Word Embeddings
Repository for the experiments and dataset described in "Simple Queries as Distant Labels for Predicting Gender on Twitter" presented at W-NUT 2017.
A parallel corpus of article-headline pairs obtained from Japanese Wikinews.
Distantly-Supervised Joint Entity and Relation Extraction with Noise-Robust Learning
Resources for the paper "PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction"
A hybrid approach toward biomedical relation extraction training corpora: combining distant supervision with crowdsourcing
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