Stars
Description of the dataset: SDOH-NLI is a natural language inference dataset containing ~30k premise-hypothesis pairs with binary entailment labels in the domain of social and behavioral determinan…
A collection of 5K introductions to popular English Wikipedia articles, with their parallel versions in 10 other languages, and machine translations to English. Also includes a synthetically corrup…
QuoteSum is a textual QA dataset containing Semi-Extractive Multi-source Question Answering (SEMQA) examples written by humans, based on Wikipedia passages.
PropSegmEnt is an annotated dataset for segmenting English text into propositions, and recognizing proposition-level entailment relations - whether a different, related document entails each propos…
Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.
This dataset contains human judgements about answer equivalence. The data is based on SQuAD (Stanford Question Answering Dataset), and contains 9k human judgements of answer candidates generated by…
Efficient Conformal Prediction via Cascaded Inference with Expanded Admission
A Dataset of Python Challenges for AI Research
Code containing implementation of prototypical networks paper with a few tweaks
Google Drive Public File Downloader when Curl/Wget Fails
Fact Extraction and VERification baseline published in NAACL2018
Library for Knowledge Intensive Language Tasks
Simple python retriever for Biorxiv articles
Data and software for building the ACL Anthology.
Pytorch-Named-Entity-Recognition-with-BERT
"Few-shot Text Classification with Distributional Signatures" ICLR 2020
PAIR.withgoogle.com and friend's work on interpretability methods
Symmetric evaluation set based on the FEVER (fact verification) dataset
Sharing Deep Learning Models for Breast Cancer Risk
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
PyTorch original implementation of Cross-lingual Language Model Pretraining.
Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
💫 Industrial-strength Natural Language Processing (NLP) in Python
Cross-Lingual Alignment of Contextual Word Embeddings
Open Source Neural Machine Translation and (Large) Language Models in PyTorch