1. Ner Datasets
Datasets to train supervised classifiers for Named-Entity Recognition in different languages (Portuguese, German, Dutch, French, English)
2. Snowball
Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)
3. Ner Evaluation
An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the tokens that are part of the named-entity
4. Aspect Based Sentiment Analysis
Aspect-Based Sentiment Analysis Experiments
5. Breds
"Bootstrapping Relationship Extractors with Distributional Semantics" (Batista et al., 2015) - code for EMNLP'15 paper
6. Text Classification
An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines
7. Machine Learning Notebooks
Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory
8. Annotated Semantic Relationships Datasets
A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)
9. ConvNets-for-Sentence-Classification
"Convolutional Neural Networks for Sentence Classification" (Kim 2014) - https://www.aclweb.org/anthology/D14-1181
1-9 of 9 user projects