Name: Mohammad Sadegh Rasooli
Type: User
Company: Microsoft
Bio: Senior applied scientist at Microsoft, Former postdoc at UPenn, Former research scientist at Facebook AI, PhD of Computer Science from Columbia University
Location: Mountain View, Ca
Blog: https://rasoolims.github.io/about/
Mohammad Sadegh Rasooli's Projects
Graph-based and Transition-based dependency parsers based on BiLSTMs
Stanford CoreNLP: A Java suite of Core NLP tools
Source-side dependency reordering for machine translation
Dynamic neural network library
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A faster pytorch implementation of faster r-cnn
Feed-forward POS tagger
Given an image folder, computer image features and save them into a file. The image features include the grid layer and the final layer.
"Wikily" Neural Machine Translation Tailored to Cross-Lingual Tasks.
Integer Repeat Counter
Wrapper for Yara parser and POS tagger
MASS: Masked Sequence to Sequence Pre-training for Language Generation
Modification to Ryan McDonald and Jason Baldridge's code!
A C# version of MST Parser (it is a conversion of the java code)
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling
NLP HW Programming Dependency Parsing