akkikiki

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

fairseq

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

language-server-protocol

Defines a common protocol for language servers.

tokenizers

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

mesh-transformer-jax

Model parallel transformers in JAX and Haiku

pygcn

Graph Convolutional Networks in PyTorch

PLMpapers

Must-read Papers on pre-trained language models.

XLM

PyTorch original implementation of Cross-lingual Language Model Pretraining.

adapters

A Unified Library for Parameter-Efficient and Modular Transfer Learning

MT-Reading-List

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

awesome-sentence-embedding

A curated list of pretrained sentence and word embedding models

powerful-gnns

How Powerful are Graph Neural Networks?

GNNs-for-NLP

Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020

pycountry

A Python library to access ISO country, subdivision, language, currency and script definitions and their translations.

naacl_transfer_learning_tutorial

Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA

xtreme

XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.

pix2struct

paws

This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase identification.

pixel

Research code for pixel-based encoders of language (PIXEL)

ACL2022_KnowledgeNLP_Tutorial

Materials for ACL-2022 tutorial: Knowledge-Augmented Methods for Natural Language Processing

EMNLP-2019-Papers

Statistics and Accepted paper list with arXiv link of EMNLP-IJCNLP 2019

xquad

multisense-prob-fasttext

ACL 2018 paper: Probabilistic FastText for Multi-Sense Word Embeddings (Athiwaratkun et al., 2018)

CrossLingualContextualEmb

Cross-Lingual Alignment of Contextual Word Embeddings

WSDM2018_HyperQA

Reference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"

teaspn-sdk

SDK for TEASPN, a framework and a protocol for integrated writing assistance environments

allennlp-guide-examples

Example code, data, and commands for the AllenNLP guide

udapter

UDapter is a multilingual dependency parser that uses "contextual" adapters together with language-typology features for language-specific adaptation. This repository includes the code for "UDapter: Language Adaptation for Truly Universal Dependency Parsing"

morph_dictionaries

exploring-clmd-divergences

The code and data for the ACL paper