machine learning algorithm
Implemented the Viterbi algorithm for sequence tagging, did feature engineering to identify a good set of features and also compared the MEMM and CRF Statistical Modeling Methods, using Tensor Flow framework.
An MEMM POS Tagger implemented in Python 3 as part of an NLP Course at the Technion
NER for the ATIS dataset
A tutorial that builds the linear-chain CRF one defect at a time: HMM → MEMM → label bias → random fields → CRF, each step fixing a demonstrable flaw in the one before. Implemented from scratch, checked against sklearn-crfsuite, POS tagging on UD English-EWT.
Arabic Named Entity Recognition project using MEMM, Viterbi decoding, and feature engineering for sequence labeling.
This project follows a baseline & benchmark methodology to define the Named Entity Recognition task with classical machine learning.
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