This release will has examples for *three* different tasks, and some utilities for adapting the data from FLEXible into a Neural Network, i.e., a **basic data collator* for classification tasks or an **adapter** for semantic similarity triplets datasets.
In the first version the notebooks with examples were done for the following tasks:
- **Sentiment Analysis (SA)** using the IMDb dataset.
- **Question Answering (QA)** using the Squad dataset.
- **Semantic Similarity (SS)** using the TripleQQ dataset.
What's Changed
* Added first lines for the tutorial using an LSTM. Added the gitignore. by AlArgente in https://github.com/FLEXible-FL/flex-nlp/pull/1
* First notebook for QA added. Need to be tested on the server's GPUs. by cristinazuhe in https://github.com/FLEXible-FL/flex-nlp/pull/2
* Change the GRU to a BiGRU in the SA Task by AlArgente in https://github.com/FLEXible-FL/flex-nlp/pull/3
* Semantic Search / Semantic Similarity by AlArgente in https://github.com/FLEXible-FL/flex-nlp/pull/4
* Deleted some scripts. TODO: Review the notebooks. by cristinazuhe in https://github.com/FLEXible-FL/flex-nlp/pull/5
* Add nlp aggregators by AlArgente in https://github.com/FLEXible-FL/flex-nlp/pull/6
New Contributors
* cristinazuhe made their first contribution in https://github.com/FLEXible-FL/flex-nlp/pull/2
* AlArgente made their first contribution in https://github.com/FLEXible-FL/flex-nlp/pull/1
**Full Changelog**: https://github.com/FLEXible-FL/flex-nlp/commits/v0.1.0-alpha