Search Results for author: Vikram Ramanarayanan

Found 10 papers, 0 papers with code

What Do Patients Say About Their Disease Symptoms? Deep Multilabel Text Classification With Human-in-the-Loop Curation for Automatic Labeling of Patient Self Reports of Problems

no code implementations8 May 2023 Lakshmi Arbatti, Abhishek Hosamath, Vikram Ramanarayanan, Ira Shoulson

We develop a rules based linguistic-dictionary using NLP techniques and graph database-based expert phrase-query system to scale the annotation to the remaining cohort generating the machine annotated dataset, and finally build a Keras-Tensorflow based MLTC model for both datasets.

Multilabel Text Classification Multi Label Text Classification +2

On the Utility of Audiovisual Dialog Technologies and Signal Analytics for Real-time Remote Monitoring of Depression Biomarkers

no code implementations WS 2020 Michael Neumann, Oliver Roessler, David Suendermann-Oeft, Vikram Ramanarayanan

We investigate the utility of audiovisual dialog systems combined with speech and video analytics for real-time remote monitoring of depression at scale in uncontrolled environment settings.

Exploring Recurrent, Memory and Attention Based Architectures for Scoring Interactional Aspects of Human-Machine Text Dialog

no code implementations20 May 2020 Vikram Ramanarayanan, Matthew Mulholland, Debanjan Ghosh

An important step towards enabling English language learners to improve their conversational speaking proficiency involves automated scoring of multiple aspects of interactional competence and subsequent targeted feedback.

Automatic Token and Turn Level Language Identification for Code-Switched Text Dialog: An Analysis Across Language Pairs and Corpora

no code implementations WS 2018 Vikram Ramanarayanan, Robert Pugh

We examine the efficacy of various feature{--}learner combinations for language identification in different types of text-based code-switched interactions {--} human-human dialog, human-machine dialog as well as monolog {--} at both the token and turn levels.

Language Identification Spoken Language Understanding +1

Leveraging Multimodal Dialog Technology for the Design of Automated and Interactive Student Agents for Teacher Training

no code implementations WS 2018 David Pautler, Vikram Ramanarayanan, Kirby Cofino, Patrick Lange, David Suendermann-Oeft

We used the open-source multimodal dialog system HALEF to implement a small-group classroom math discussion involving Venn diagrams where a human teacher candidate has to interact with two student ECAs whose actions are controlled by the dialog system.

Math

Toward Automatically Measuring Learner Ability from Human-Machine Dialog Interactions using Novel Psychometric Models

no code implementations WS 2018 Vikram Ramanarayanan, Michelle LaMar

While dialog systems have been widely deployed for computer-assisted language learning (CALL) and formative assessment systems in recent years, relatively limited work has been done with respect to the psychometrics and validity of these technologies in evaluating and providing feedback regarding student learning and conversational ability.

Management

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