activity
20182022
most citedDetecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2022

UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks

Xingmeng Zhao, Anthony Rios

The act of appearing kind or helpful via the use of but having a feeling of superiority condescending and patronizing language can have have serious mental health implications to t…

cs.CL20221 cited

Turning Stocks into Memes: A Dataset for Understanding How Social Communities Can Drive Wall Street

Richard Alvarez, Paras Bhatt, Xingmeng Zhao +1

Who actually expresses an intent to buy GameStop shares on Reddit? What convinces people to buy stocks? Are people convinced to support a coordinated plan to adversely impact Wall…

cs.SI2021

Case Study on Detecting COVID-19 Health-Related Misinformation in Social Media

Mir Mehedi A. Pritom, Rosana Montanez Rodriguez, Asad Ali Khan +4

COVID-19 pandemic has generated what public health officials called an infodemic of misinformation. As social distancing and stay-at-home orders came into effect, many turned to so…

cs.CL20212 cited

Detecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions

Paras Bhatt, Anthony Rios

Language generation models' democratization benefits many domains, from answering health-related questions to enhancing education by providing AI-driven tutoring services. However,…

cs.CL2018

Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models

Yifan Peng, Anthony Rios, Ramakanth Kavuluru +1

Text mining the relations between chemicals and proteins is an increasingly important task. The CHEMPROT track at BioCreative VI aims to promote the development and evaluation of s…