Keyword extraction to automate the discovery of dataset in publications and public reports
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Updated
Jun 20, 2021 - Python
Keyword extraction to automate the discovery of dataset in publications and public reports
summer internship project @ JetBrains Research
Transformer-based models implemented in tensorflow 2.x(using keras).
Data pipelines for both TensorFlow and PyTorch!
Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging
Token classification using Phobert Models for Vietnamese
Implementation of the paper, MAPLE - MAsking words to generate blackout Poetry using sequence-to-sequence LEarning, ICNLSP 2021
Applied Deep Learning 深度學習之應用 by Vivian Chen 陳縕儂 at NTU CSIE
MAPLEv2 - Multi-task Approach for generating blackout Poetry with Linguistic Evaluation
Labeled Russian text token-by-token for training models for NER task based samples got from parsing different resources and generated by ChatGPT.
API for Yoda-NER and Yoda-FITS model. NLP models for Google Feed product optimization
AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
A Simple but Powerful SOTA NER Model | Official Code For Label Supervised LLaMA Finetuning
A webapp built using Gradio for demonstrating the capabilities of the Spacy NER pipeline.
The MERIT Dataset is a fully synthetic, labeled dataset created for training and benchmarking LLMs on Visually Rich Document Understanding tasks. It is also designed to help detect biases and improve interpretability in LLMs, where we are actively working. This repository is actively maintained, and new features are continuously being added.
A collection of datasets for Ukrainian language
Scrap, token classification and model deployment for a selective process.
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