Pinned

1. BREDS

   "Bootstrapping Relationship Extractors with Distributional Semantics" (Batista et al., 2015) - code for EMNLP'15 paper

   Python 106 35

2. 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

   Python 109 23

3. ConvNets-for-Sentence-Classification

   "Convolutional Neural Networks for Sentence Classification" (Kim 2014) - https://www.aclweb.org/anthology/D14-1181

   Jupyter Notebook 45 15

4. Annotated-Semantic-Relationships-Datasets

   A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)

   498 108

5. NER-datasets

   Datasets to train supervised classifiers for Named-Entity Recognition in different languages (Portuguese, German, Dutch, French, English)

   Python 200 60

6. SLANG-Sequence-LAbeliNG

   Sequence LAbeliNG with Neural Networks: "Neural Architectures for Named Entity Recognition" (Lample et al., 2016) and "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" (Ma, 2016)

   Jupyter Notebook 5