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Jekaterina Novikova's Projects

allennlp icon allennlp

An open-source NLP research library, built on PyTorch.

awesome-bots icon awesome-bots

A curated awesome list of resources from the bots/AI world by BotCube team. Join our newsletter to get five epic actionable bot tricks delivered to your inbox once a week! 🤖 ❤️

awesome-llm-eval icon awesome-llm-eval

Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表,主要面向基础大模型评测,旨在探求生成式AI的技术边界.

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-r icon awesome-r

A curated list of awesome R packages, frameworks and software.

bert-robustness icon bert-robustness

Supplementary material accompanying the following paper: Jekaterina Novikova (2021). Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease from Text.

big-bench icon big-bench

Beyond the Imitation Game collaborative benchmark for enormous language models

blog icon blog

Weblog’s basic functionality is a possibility to write, read, edit and delete posts, write and delete comments. Additional functionality is user registration with a confirmation of registration

carl_voice icon carl_voice

A proposal for creating a reflective listening chatbot

emnlp_17_submission icon emnlp_17_submission

The dataset and statistical analysis code released with the submission of EMNLP 2017 paper "Why We Need New Evaluation Metrics for NLG"

errant icon errant

ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

inlg_16_submission icon inlg_16_submission

The dataset released with the submission of INLG 2016 paper "Crowd-sourcing NLG Data: Pictures Elicit Better Data" (https://aclweb.org/anthology/W/W16/W16-6644.pdf)

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