activity
20162024
most citedAutomated assessment of non-native learner essays: Investigating the role of linguistic features

121 citations · 124 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20241 cited

LLMs in Education: Novel Perspectives, Challenges, and Opportunities

Bashar Alhafni, Sowmya Vajjala, Stefano Bannò +2

The role of large language models (LLMs) in education is an increasing area of interest today, considering the new opportunities they offer for teaching, learning, and assessment.…

cs.CL20241 cited

Annotation Errors and NER: A Study with OntoNotes 5.0

Gabriel Bernier-Colborne, Sowmya Vajjala

Named Entity Recognition (NER) is a well-studied problem in NLP. However, there is much less focus on studying NER datasets, compared to developing new NER models. In this paper, w…

cs.CL2024

Dravidian language family through Universal Dependencies lens

Taraka Rama, Sowmya Vajjala

The Universal Dependencies (UD) project aims to create a cross-linguistically consistent dependency annotation for multiple languages, to facilitate multilingual NLP. It currently…

cs.CL20231 cited

A Multilingual Evaluation of NER Robustness to Adversarial Inputs

Akshay Srinivasan, Sowmya Vajjala

Adversarial evaluations of language models typically focus on English alone. In this paper, we performed a multilingual evaluation of Named Entity Recognition (NER) in terms of its…

cs.CL2016121 cited

Automated assessment of non-native learner essays: Investigating the role of linguistic features

Sowmya Vajjala

Automatic essay scoring (AES) refers to the process of scoring free text responses to given prompts, considering human grader scores as the gold standard. Writing such essays is an…