Data Cleaning Tools for Token Classification Tasks

no code implementations • NAACL (DaSH) 2021 • Karthik Muthuraman, Frederick Reiss, Hong Xu, Bryan Cutler, Zachary Eichenberger

We incorporated our sieve into an end-to-end system for cleaning NLP corpora, implemented as a modular collection of Jupyter notebooks built on extensions to the Pandas DataFrame library.

Classification named-entity-recognition +4

Identifying Incorrect Labels in the CoNLL-2003 Corpus

2 code implementations • CONLL 2020 • Frederick Reiss, Hong Xu, Bryan Cutler, Karthik Muthuraman, Zachary Eichenberger

The CoNLL-2003 corpus for English-language named entity recognition (NER) is one of the most influential corpora for NER model research.

named-entity-recognition Named Entity Recognition +1

Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment

no code implementations • 4 Sep 2019 • Alex Bozarth, Brendan Dwyer, Fei Hu, Daniel Jalova, Karthik Muthuraman, Nick Pentreath, Simon Plovyt, Gabriela de Queiroz, Saishruthi Swaminathan, Patrick Titzler, Xin Wu, Hong Xu, Frederick R. Reiss, Vijay Bommireddipalli

A recent trend observed in traditionally challenging fields such as computer vision and natural language processing has been the significant performance gains shown by deep learning (DL).

Video based Contextual Question Answering

no code implementations • 19 Apr 2018 • Akash Ganesan, Divyansh Pal, Karthik Muthuraman, Shubham Dash

The primary aim of this project is to build a contextual Question-Answering model for videos.

Question Answering

Vision Based Dynamic Offside Line Marker for Soccer Games

1 code implementation • 17 Apr 2018 • Karthik Muthuraman, Pranav Joshi, Suraj Kiran Raman

Offside detection in soccer has emerged as one of the most important decisions with an average of 50 offside decisions every game.

Quantization