penzant's Stars
eugeneyan/open-llms
📋 A list of open LLMs available for commercial use.
aaronmueller/emergent-syntax
Code for "How to Plant Trees in Language Models" (ACL 2023).
nd-ball/py-irt
Bayesian IRT models in Python
openai/glide-text2im
GLIDE: a diffusion-based text-conditional image synthesis model
arxiv-vanity/engrafo
Convert LaTeX documents into beautiful responsive web pages using LaTeXML.
jiant-dev/jiant-dev
jiant-dev
allenai/contrast-sets
cympfh/fuji_uploader
For my NAS
cfmrp/tutorial
Tutorial on ‘Graph-Based Meaning Representations: Design and Processing’ (ACL 2019)
alontalmor/MultiQA
caoyu-noob/BAG
Implementation for NAACL-2019 paper
nikitakit/self-attentive-parser
High-accuracy NLP parser with models for 11 languages.
kentonl/e2e-coref
End-to-end Neural Coreference Resolution
mdtux89/amr-eager
Parser for Abstract Meaning Representation
xycforgithub/MultiTask-MRC
Multitask Learning for Machine Reading Comprehension, NAACL 2019
timjogorman/FraCaS-AMR
A (very beta) annotation of the FraCaS test suite with AMR graph.
timjogorman/Multisentence-AMR-guidelines
Guidelines for our secondary layer of annotation adding multi-sentence AMR links
wenhuchen/Variational-Vocabulary-Selection
Code for NAACL19 Paper "How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection"
MI2DataLab/nlp_interpretability_framework
Are you tough enough? Framework for Robustness Validation of Machine Comprehension Systems
ihsgnef/rawr_transfer_chainer
rowanz/swagaf
Repository for paper "SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference"
pramodkaushik/acl18_results
Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"
duorc/duorc
A Large-Scale Dataset for Paraphrased Reading Comprehension
soskek/decode_from_mask
Generate a sentence from a masked sentence
google-research/bert
TensorFlow code and pre-trained models for BERT
hotpotqa/hotpot
allenai/semanticilp
Question Answering as Global Reasoning over Semantic Abstractions (AAAI-18)
kelvinguu/qanli
Source code for "Transforming Question Answering Datasets Into Natural Language Inference Datasets"
microsoft/TextWorld
​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
robinjia/adversarial-squad
Code from Jia and Liang, "Adversarial Examples for Evaluating Reading Comprehension Systems" (EMNLP 2017)