robinvanschaik / interpret-flairLinks
A small repository to test Captum Explainable AI with a trained Flair transformers-based text classifier.
☆27Updated 4 years ago
Alternatives and similar repositories for interpret-flair
Users that are interested in interpret-flair are comparing it to the libraries listed below
Sorting:
- A lightweight but powerful library to build token indices for NLP tasks, compatible with major Deep Learning frameworks like PyTorch and …☆51Updated last year
- On Generating Extended Summaries of Long Documents☆78Updated 5 years ago
- Converter from UD-trees to BART representation☆36Updated last year
- A embed able annotation tool for end to end cross document co-reference☆41Updated 2 years ago
- classy is a simple-to-use library for building high-performance Machine Learning models in NLP.☆87Updated last month
- An example of how to use spaCy for extremely large files without running into memory issues☆36Updated 3 years ago
- Implementation, trained models and result data for the paper "Aspect-based Document Similarity for Research Papers" #COLING2020☆63Updated last year
- Minimal code to train ELMo models in recent versions of TensorFlow☆14Updated 2 years ago
- A set of methods for finding an appropriate number of topics in a text collection☆16Updated 9 months ago
- ☆34Updated 2 years ago
- Data programming by demonstration for information extraction and span annotation☆34Updated 4 years ago
- Sentence transformers models for SpaCy☆108Updated 2 years ago
- ☆18Updated 3 years ago
- FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction☆24Updated 3 years ago
- Pipeline component for spaCy (and other spaCy-wrapped parsers such as spacy-stanza and spacy-udpipe) that adds CoNLL-U properties to a Do…☆81Updated last year
- Custom Natural Language Processing with big and small models 🌲🌱☆66Updated 4 years ago
- Dynamic ensemble decoding with transformer-based models☆29Updated 2 years ago
- A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently…☆108Updated last year
- Efficient-Sentence-Embedding-using-Discrete-Cosine-Transform☆17Updated 5 years ago
- BERT models for many languages created from Wikipedia texts☆33Updated 5 years ago
- Code for the paper: Saying No is An Art: Contextualized Fallback Responses for Unanswerable Dialogue Queries☆19Updated 4 years ago
- Ranking of fine-tuned HF models as base models.☆36Updated 4 months ago
- Learning BPE embeddings by first learning a segmentation model and then training word2vec☆19Updated 3 years ago
- GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition☆31Updated 4 years ago
- ☆54Updated 4 years ago
- Model for learning document embeddings along with their uncertainties☆36Updated 2 years ago
- Template Extraction from unstructured Wikipedia text using NLP techniques.☆41Updated 5 years ago
- A text augmentation tool for named entity recognition.☆54Updated 4 years ago
- Load What You Need: Smaller Multilingual Transformers for Pytorch and TensorFlow 2.0.☆105Updated 3 years ago
- Using BERT for doing the task of Conditional Natural Language Generation by fine-tuning pre-trained BERT on custom dataset.☆41Updated 5 years ago