activity
20182021
most citedMisspelling Correction with Pre-trained Contextual Language Model

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

collaborators

6 papers

cs.CL2021

Towards The Automatic Coding of Medical Transcripts to Improve Patient-Centered Communication

Gilchan Park, Julia Taylor Rayz, Cleveland G. Shields

This paper aims to provide an approach for automatic coding of physician-patient communication transcripts to improve patient-centered communication (PCC). PCC is a central part of…

cs.CL2021

Graph-of-Tweets: A Graph Merging Approach to Sub-event Identification

Xiaonan Jing, Julia Taylor Rayz

Graph structures are powerful tools for modeling the relationships between textual elements. Graph-of-Words (GoW) has been adopted in many Natural Language tasks to encode the asso…

cs.CL20214 cited

Misspelling Correction with Pre-trained Contextual Language Model

Yifei Hu, Xiaonan Jing, Youlim Ko +1

Spelling irregularities, known now as spelling mistakes, have been found for several centuries. As humans, we are able to understand most of the misspelled words based on their loc…

cs.CL2020

Model Choices Influence Attributive Word Associations: A Semi-supervised Analysis of Static Word Embeddings

Geetanjali Bihani, Julia Taylor Rayz

Static word embeddings encode word associations, extensively utilized in downstream NLP tasks. Although prior studies have discussed the nature of such word associations in terms o…

cs.CL2020

Exploring BERT's Sensitivity to Lexical Cues using Tests from Semantic Priming

Kanishka Misra, Allyson Ettinger, Julia Taylor Rayz

Models trained to estimate word probabilities in context have become ubiquitous in natural language processing. How do these models use lexical cues in context to inform their word…

cs.SI2018

An Event Detection Approach Based On Twitter Hashtags

Shih-Feng Yang, Julia Taylor Rayz

Twitter is one of the most popular microblogging services in the world. The great amount of information within Twitter makes it an important information channel for people to learn…