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acl2020-openqa-tutorial

ACL2020 Tutorial: Open-Domain Question Answering

acl2020t3material

Contains all teaching material used in ACL 2020 Tutorial "Reviewing NLP" given on July 5 2020

active_learning

alice

awesome-nlp

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

awesome-relation-extraction

📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

bert_sentiment_japanese

bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

checklist

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

coding-interview-university

A complete computer science study plan to become a software engineer.

coding_questions

daily-coding-problem

Solutions to problems sent by dailycodingproblem.com

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-semantic-similarity-model

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

dl3d-seminar

Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data

doccano-mini

Annotation meets Large Language Models (ChatGPT, GPT-3 and alike).

electra

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

f-divergence

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

finetunebert

former

Simple transformer implementation from scratch in pytorch.

fsdl-text-recognizer-2021-labs

Complete deep learning project developed in Full Stack Deep Learning, Spring 2021

github-slideshow

A robot powered training repository :robot:

gpt-re

interpretability-tutorial-emnlp2020

Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"

iwcs2019

Resources from our IWCS 2019 paper: Temporal and Aspectual Entailment

linear_algebra_with_python

Lecture Notes for Linear Algebra Featuring Python

lisk

Build a Jekyll blog in minutes, without touching the command line.

lisk.github.io

lms4implicit-knowledge-generation

Code for equipping pretrained language models (BART, GPT-2, XLNet) with commonsense knowledge for generating implicit knowledge statements between two sentences, by (i) finetuning the models on corpora enriched with implicit information; and by (ii) constraining models with key concepts and commonsense knowledge paths connecting them.