maxaalexeeva
Graduate student at the University of Arizona with interest in Natural Language Processing and Machine Leaning
Pinned Repositories
habitus
processors
Natural Language Processors
.github
Community health files for lum-ai
automates
AutoMATES: Automated Model Assembly from Text, Equations, and Software
clulab.github.io
ConceptAlignment
CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
discobert
automates
AutoMATES: Automated Model Assembly from Text, Equations, and Software
maxaalexeeva's Repositories
maxaalexeeva/.github
Community health files for lum-ai
maxaalexeeva/automates
AutoMATES: Automated Model Assembly from Text, Equations, and Software
maxaalexeeva/clulab.github.io
maxaalexeeva/ConceptAlignment
maxaalexeeva/CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
maxaalexeeva/discobert
maxaalexeeva/educe
Abstract representation of a discourse-annotated corpus.
maxaalexeeva/eidos
Machine reading system for World Modelers
maxaalexeeva/git-workshop-practice
Hands-on practice for part II of the 2018 git/github workshop
maxaalexeeva/grobid-quantities
GROBID extension for identifying and normalizing physical quantities.
maxaalexeeva/habitus
maxaalexeeva/irit-rst-dt
IRIT experiments on the RST Discourse Treebank corpus
maxaalexeeva/LIVES_BagofWord
The analysis of LIVES study with bag-of-word model and linear machine learning model.
maxaalexeeva/mathtexts
Dependency-based word embedding model (word2vecf, Omer Levy et al.)
maxaalexeeva/maxaalexeeva.github.io
maxaalexeeva/odin-tutorial
An interactive introduction to the Odin information extraction system
maxaalexeeva/parsing-as-tagging-fork
maxaalexeeva/pdfminer.six
Python PDF Parser -- fork with Python 2+3 support using six
maxaalexeeva/RSTParser
An shift-reduce based RST parser
maxaalexeeva/RumourEval2019
Baseline for SemEval 2019 Task 7 RumourEval 2019
maxaalexeeva/science-parse
Science Parse parses scientific papers (in PDF form) and returns them in structured form.
maxaalexeeva/Seq2Seq_Tutorial
Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
maxaalexeeva/spv2
Science-parse version 2
maxaalexeeva/swc_2017-09-09