hellohaptik / multi-task-NLPLinks
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
☆372Updated 2 years ago
Alternatives and similar repositories for multi-task-NLP
Users that are interested in multi-task-NLP are comparing it to the libraries listed below
Sorting:
- Question Generation using Google T5 and Text2Text☆153Updated 4 years ago
- Question Answering using Albert and Electra☆208Updated 2 years ago
- Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided☆185Updated 2 years ago
- Important paper implementations for Question Answering using PyTorch☆270Updated 4 years ago
- Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive…☆439Updated 4 months ago
- New dataset☆307Updated 4 years ago
- Summarization Task using Bart and T5 models.☆171Updated 5 years ago
- Simple State-of-the-Art BERT-Based Sentence Classification with Keras / TensorFlow 2. Built with HuggingFace's Transformers.☆201Updated last year
- An elaborate and exhaustive paper list for Named Entity Recognition (NER)☆392Updated 3 years ago
- SentAugment is a data augmentation technique for NLP that retrieves similar sentences from a large bank of sentences. It can be used in c…☆362Updated 3 years ago
- Builds wordpiece(subword) vocabulary compatible for Google Research's BERT☆231Updated 4 years ago
- Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632☆267Updated 4 years ago
- Repository that accompanies "An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction" (EMNLP 2019)☆211Updated 4 years ago
- A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.☆180Updated 4 years ago
- Tutorial for first time BERT users,☆103Updated 2 years ago
- Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers☆160Updated 5 years ago
- Code for ACL 2020 paper: "Extractive Summarization as Text Matching"☆523Updated 3 years ago
- TyDi QA contains 200k human-annotated question-answer pairs in 11 Typologically Diverse languages, written without seeing the answer and …☆314Updated 5 years ago
- architectures and pre-trained models for long document classification.☆155Updated 4 years ago
- One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques☆210Updated 2 years ago
- SQuAD Question Answering Using BERT, PyTorch☆400Updated 2 years ago
- Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classif…☆310Updated 5 years ago
- Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.☆193Updated 2 years ago
- ⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.☆88Updated 2 years ago
- This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, an…☆561Updated 3 years ago
- PyTorch deep learning models for document classification☆594Updated 2 years ago
- Named Entity Recognition with BERT using TensorFlow 2.0☆214Updated 2 years ago
- ☆345Updated 4 years ago
- Exploring the simple sentence similarity measurements using word embeddings☆99Updated last year
- Deep Keyphrase Extraction using BERT☆261Updated 3 years ago