activity
20192022
most citedThe ARIEL-CMU Systems for LoReHLT18

4 citations · 5 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL20221 cited

AUTOLEX: An Automatic Framework for Linguistic Exploration

Aditi Chaudhary, Zaid Sheikh, David R Mortensen +2

Each language has its own complex systems of word, phrase, and sentence construction, the guiding principles of which are often summarized in grammar descriptions for the consumpti…

cs.CL2020

Reducing Confusion in Active Learning for Part-Of-Speech Tagging

Aditi Chaudhary, Antonios Anastasopoulos, Zaid Sheikh +1

Active learning (AL) uses a data selection algorithm to select useful training samples to minimize annotation cost. This is now an essential tool for building low-resource syntacti…

cs.CL2020

Automatic Extraction of Rules Governing Morphological Agreement

Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa +4

Creating a descriptive grammar of a language is an indispensable step for language documentation and preservation. However, at the same time it is a tedious, time-consuming task. I…

cs.CL2019

A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers

Aditi Chaudhary, Jiateng Xie, Zaid Sheikh +2

Most state-of-the-art models for named entity recognition (NER) rely on the availability of large amounts of labeled data, making them challenging to extend to new, lower-resourced…

cs.CL20194 cited

The ARIEL-CMU Systems for LoReHLT18

Aditi Chaudhary, Siddharth Dalmia, Junjie Hu +27

This paper describes the ARIEL-CMU submissions to the Low Resource Human Language Technologies (LoReHLT) 2018 evaluations for the tasks Machine Translation (MT), Entity Discovery a…