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David S. Batista's Projects

awesome-cv icon awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

bash-shell-utils icon bash-shell-utils

bash scripts, sed examples, and other stuff that I need from time to time

breds icon breds

"Bootstrapping Relationship Extractors with Distributional Semantics" (Batista et al., 2015) in EMNLP'15 - Python implementation

lexicons icon lexicons

Dictionaries of names, surnames, acronyms and it's extensions, stop-words, etc., which I gathered for different experiments.

machine-learning-notebooks icon machine-learning-notebooks

Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory

minhash-classifier icon minhash-classifier

supervised relationship extraction based on min-hash and locality sensitive hashing

multimodal-toolkit icon multimodal-toolkit

Multimodal model for text and tabular data with HuggingFace transformers as building block for text data

musico icon musico

A Minwise Hashing Method for Addressing Relationship Extraction from Text

ner-datasets icon ner-datasets

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

ner-evaluation icon 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

newspaper icon newspaper

News, full-text, and article metadata extraction in Python 3. Advanced docs:

nostalgia icon nostalgia

Old projects of mine, done during high-school or university and found in old hard-drives

politiquices icon politiquices

Explore relações de apoio e oposição, entre personalidades políticas, expressas em títulos de notícias preservadas no arquivo.pt

reaction-resources icon reaction-resources

Resources developed by and for the project REACTION (Retrieval, Extraction and Aggregation Computing Technology for Integrating and Organizing News) an initiative for developing a computational journalism platform (mostly) for Portuguese.

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