elementx-ai / albert-qa-demoLinks
Reading comprehension with ALBERT transformer model
☆15Updated 3 years ago
Alternatives and similar repositories for albert-qa-demo
Users that are interested in albert-qa-demo are comparing it to the libraries listed below
Sorting:
- A package for fine-tuning Transformers with TPUs, written in Tensorflow2.0+☆37Updated 4 years ago
- Viewer for the 🤗 datasets library.☆85Updated 4 years ago
- Training a model without a dataset for natural language inference (NLI)☆25Updated 5 years ago
- A 🤗-style implementation of BERT using lambda layers instead of self-attention☆69Updated 5 years ago
- Code for the Shortformer model, from the ACL 2021 paper by Ofir Press, Noah A. Smith and Mike Lewis.☆147Updated 4 years ago
- A Benchmark Dataset for Understanding Disfluencies in Question Answering☆64Updated 4 years ago
- On Generating Extended Summaries of Long Documents☆78Updated 4 years ago
- LM Pretraining with PyTorch/TPU☆136Updated 6 years ago
- ☆66Updated 5 years ago
- QED: A Framework and Dataset for Explanations in Question Answering☆118Updated 4 years ago
- Accelerated NLP pipelines for fast inference on CPU. Built with Transformers and ONNX runtime.☆127Updated 4 years ago
- Code for the paper: Saying No is An Art: Contextualized Fallback Responses for Unanswerable Dialogue Queries☆19Updated 3 years ago
- Code for obtaining the Curation Corpus abstractive text summarisation dataset☆127Updated 4 years ago
- Stanford's Alexa Prize socialbot☆133Updated 2 years ago
- This repository contains datasets and code for the paper "HINT3: Raising the bar for Intent Detection in the Wild" accepted at EMNLP-2020…☆32Updated 4 years ago
- Question generation from Reading Comprehension☆18Updated 3 years ago
- Fine-tune transformers with pytorch-lightning☆44Updated 3 years ago
- Official code and data repository for our ACL 2019 long paper "Generating Question-Answer Hierarchies" (https://arxiv.org/abs/1906.02622)…☆93Updated last year
- XtremeDistil framework for distilling/compressing massive multilingual neural network models to tiny and efficient models for AI at scale☆156Updated last year
- KitanaQA: Adversarial training and data augmentation for neural question-answering models☆56Updated 2 years ago
- Implementation of Marge, Pre-training via Paraphrasing, in Pytorch☆76Updated 4 years ago
- Question-answers, collected from Google☆129Updated 4 years ago
- Dynamic ensemble decoding with transformer-based models☆29Updated 2 years ago
- On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines☆137Updated 2 years ago
- AI apps/benchmark for legaltech☆112Updated 4 years ago
- Datasets I have created for scientific summarization, and a trained BertSum model☆115Updated 6 years ago
- TorchServe+Streamlit for easily serving your HuggingFace NER models☆33Updated 3 years ago
- Factorization of the neural parameter space for zero-shot multi-lingual and multi-task transfer☆39Updated 5 years ago
- Training T5 to perform numerical reasoning.☆24Updated 4 years ago
- Many Natural Language Processing tasks rely on sentence boundary detection (SBD). Although amazing libraries like spacy provide state of …☆61Updated 5 years ago