Search Results for author: Carolyn P. Rose

Found 4 papers, 1 papers with code

Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling

no code implementations20 Aug 2021 Xiaopeng Lu, Zhen Fan, Yansen Wang, Jean Oh, Carolyn P. Rose

LOGOS leverages two grounding tasks to better localize the key information of the image, utilizes scene text clustering to group individual OCR tokens, and learns to select the best answer from different sources of OCR (Optical Character Recognition) texts.

Data Ablation Optical Character Recognition (OCR) +3

Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States

no code implementations1 May 2019 Byungsoo Jeon, Eyal Shafran, Luke Breitfeller, Jason Levin, Carolyn P. Rose

This paper addresses a key challenge in Educational Data Mining, namely to model student behavioral trajectories in order to provide a means for identifying students most at-risk, with the goal of providing supportive interventions.

Time Series Analysis

Attentive Interaction Model: Modeling Changes in View in Argumentation

1 code implementation NAACL 2018 Yohan Jo, Shivani Poddar, Byungsoo Jeon, Qinlan Shen, Carolyn P. Rose, Graham Neubig

We present a neural architecture for modeling argumentative dialogue that explicitly models the interplay between an Opinion Holder's (OH's) reasoning and a challenger's argument, with the goal of predicting if the argument successfully changes the OH's view.

Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums

no code implementations10 Dec 2015 Abhimanu Kumar, Shriphani Palakodety, Chong Wang, Carolyn P. Rose, Eric P. Xing, Miaomiao Wen

Online discussion forums are complex webs of overlapping subcommunities (macrolevel structure, across threads) in which users enact different roles depending on which subcommunity they are participating in within a particular time point (microlevel structure, within threads).

Topic Models Variational Inference

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