activity
20152022
most citedHow essential are unstructured clinical narratives and information fusion to clinical trial recruitment?

36 citations · 74 across the 14 of their papers we have counts for

collaborators

19 papers

cs.CV20228 cited

MapQA: A Dataset for Question Answering on Choropleth Maps

Shuaichen Chang, David Palzer, Jialin Li +2

Choropleth maps are a common visual representation for region-specific tabular data and are used in a number of different venues (newspapers, articles, etc). These maps are human-r…

cs.CL2022

Towards End-to-End Integration of Dialog History for Improved Spoken Language Understanding

Vishal Sunder, Samuel Thomas, Hong-Kwang J. Kuo +3

Dialog history plays an important role in spoken language understanding (SLU) performance in a dialog system. For end-to-end (E2E) SLU, previous work has used dialog history in tex…

cs.CL20211 cited

Hallucination of speech recognition errors with sequence to sequence learning

Prashant Serai, Vishal Sunder, Eric Fosler-Lussier

Automatic Speech Recognition (ASR) is an imperfect process that results in certain mismatches in ASR output text when compared to plain written text or transcriptions. When plain t…

cs.CL2021

TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora

Denis Newman-Griffis, Venkatesh Sivaraman, Adam Perer +2

Embeddings of words and concepts capture syntactic and semantic regularities of language; however, they have seen limited use as tools to study characteristics of different corpora…

cs.CL202024 cited

Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health

Denis Newman-Griffis, Eric Fosler-Lussier

Linking clinical narratives to standardized vocabularies and coding systems is a key component of unlocking the information in medical text for analysis. However, many domains of m…

cs.CL2020

Handling Class Imbalance in Low-Resource Dialogue Systems by Combining Few-Shot Classification and Interpolation

Vishal Sunder, Eric Fosler-Lussier

Utterance classification performance in low-resource dialogue systems is constrained by an inevitably high degree of data imbalance in class labels. We present a new end-to-end pai…