Categories in Conceptual Spaces
Categorizing and identification of objects is a fundamental functionality we exercise regularly. In this post I'd like to describe the...
SHIRAN DUDY
I'm a postdoc at CU Boulder
Hi. Welcome! I Recently joined CU Boulder as postdoc working on developing classroom assistants in educational setting. I work at the intersection of RL, NLP, and dialogue systems. I care for ethical and human-centered systems as well. You can see here my papers, repo projects, and the research I've been working on. Hope you enjoy ;-)
PROFESSIONAL BIO
Current Research
My main Focus is on developing bots to facilitate discussion and learning in a classroom setting. Aside from that I continue to work on questions around bias, and aspects of personalization following my thesis.
PUBLICATIONS
Recent Research Papers
2021
S. Dudy, S. Bedrick, B. Webber
Empirical Methods in Natural Language Processing (EMNLP)
The figure shows the percentage of Types (%) predicted stratified by frequency in known SotA language models
2020
Won 2nd place award
2020
2018
2018
S. Dudy, S. Bedrick, M. Asgari, A. Kain
Computer Speech and Langauge (CSL)
2018
The figure shows the percentage of Types (%) predicted stratified by frequency in a categorical vs. continuous language models
2020
S. Dudy, S. Bedrick
WiNLP Workshop
Association for Computational Linguistics (ACL)
2019
R. Dong, D. Smith, S. Dudy, S. Bedrick
SPLAT Workshop
North American Association for Computational Linguistics (NAACL)
GIT REPOS
From a few projects I've worked on
FST SPECIALIZER
2017
A Python library to create Special Fsts as described in OpenFst source code. This specializer library enables sigma, rho, and phi operations over fsts over using the command line operations of OpenFst. To have a small footprint, this functionality was implemented in Cython and included generating C++ files.
DOCKER IMAGES FOR FST TOOLS
2016
Openfst and Pywrapfst library images that provide an openfst with pywrapfst environment on ubuntu 14.4. The most recent images are the pynini_1.4.1 and the fst_1.6.1 and their installation details as well as content is available.
OBFUSCATION DETECTION WITH DEEP LEARNING
2016
The basic code for obfuscation detection provides a trained classifier to analyze and detect the encoding language used to obfuscate parts of code in order to hide there sensitive information or potnetially harmful behavior.
PROSODY DETECTION
2015
Code for different sequence classifiers as described in the paper “Textual Prediction of Prosodic Prominence in Spontaneous Speech with Sequence Classifiers”. There are viterbi, greedy first and second order and, local search first second and third order.
