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Found 26 papers, 7 papers with code
How You Say It Matters: Measuring the Impact of Verbal Disfluency Tags on Automated Dementia Detection
Automatic speech recognition (ASR) systems usually incorporate postprocessing mechanisms to remove disfluencies, facilitating the generation of clear, fluent transcripts that are conducive to many downstream NLP tasks.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Are Interaction Patterns Helpful for Task-Agnostic Dementia Detection? An Empirical Exploration
Dementia often manifests in dialog through specific behaviors such as requesting clarification, communicating repetitive ideas, and stalling, prompting conversational partners to probe or otherwise attempt to elicit information.
Demystifying Neural Fake News via Linguistic Feature-Based Interpretation
The spread of fake news can have devastating ramifications, and recent advancements to neural fake news generators have made it challenging to understand how misinformation generated by these models may best be confronted.
Telling a Lie: Analyzing the Language of Information and Misinformation during Global Health Events
The COVID-19 pandemic and other global health events are unfortunately excellent environments for the creation and spread of misinformation, and the language associated with health misinformation may be typified by unique patterns and linguistic markers.
The AI Doctor Is In: A Survey of Task-Oriented Dialogue Systems for Healthcare Applications
Task-oriented dialogue systems are increasingly prevalent in healthcare settings, and have been characterized by a diverse range of architectures and objectives.
Are You Really Okay? A Transfer Learning-based Approach for Identification of Underlying Mental Illnesses
Evidence has demonstrated the presence of similarities in language use across people with various mental health conditions.
Exploring Contrastive Learning for Multimodal Detection of Misogynistic Memes
Misogynistic memes are rampant on social media, and often convey their messages using multimodal signals (e. g., images paired with derogatory text or captions).
TweetTaglish: A Dataset for Investigating Tagalog-English Code-Switching
Deploying recent natural language processing innovations to low-resource settings allows for state-of-the-art research findings and applications to be accessed across cultural and linguistic borders.
CORI: CJKV Benchmark with Romanization Integration -- A step towards Cross-lingual Transfer Beyond Textual Scripts
Naively assuming English as a source language may hinder cross-lingual transfer for many languages by failing to consider the importance of language contact.
Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community
The ability to interact with machines using natural human language is becoming not just commonplace, but expected.
Investigating Reproducibility at Interspeech Conferences: A Longitudinal and Comparative Perspective
We find that despite having a close number of accepted papers to the other conferences, Interspeech has up to 40% less source code availability.
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP
We report our efforts in identifying a set of previous human evaluations in NLP that would be suitable for a coordinated study examining what makes human evaluations in NLP more/less reproducible.
Tracking Turbulence Through Financial News During COVID-19
Grave human toll notwithstanding, the COVID-19 pandemic created uniquely unstable conditions in financial markets.
Identifying Medical Self-Disclosure in Online Communities
Self-disclosure in online health conversations may offer a host of benefits, including earlier detection and treatment of medical issues that may have otherwise gone unaddressed.
UIC-NLP at SemEval-2020 Task 10: Exploring an Alternate Perspective on Evaluation
In this work we describe and analyze a supervised learning system for word emphasis selection in phrases drawn from visual media as a part of the Semeval 2020 Shared Task 10.
Latent Neural Differential Equations for Video Generation
Generative Adversarial Networks have recently shown promise for video generation, building off of the success of image generation while also addressing a new challenge: time.
Modeling Dialogue in Conversational Cognitive Health Screening Interviews
To facilitate the development of such an agent, we propose an annotation schema for assigning dialogue act labels to utterances in patient-interviewer conversations collected as part of a clinically-validated cognitive health screening task.
Enriching Neural Models with Targeted Features for Dementia Detection
Alzheimer's disease (AD) is an irreversible brain disease that can dramatically reduce quality of life, most commonly manifesting in older adults and eventually leading to the need for full-time care.
AI Meets Austen: Towards Human-Robot Discussions of Literary Metaphor
Artificial intelligence is revolutionizing formal education, fueled by innovations in learning assessment, content generation, and instructional delivery.
The Steep Road to Happily Ever After: An Analysis of Current Visual Storytelling Models
Visual storytelling is an intriguing and complex task that only recently entered the research arena.
Automatically Generating Questions about Novel Metaphors in Literature
The automatic generation of stimulating questions is crucial to the development of intelligent cognitive exercise applications.
#SarcasmDetection is soooo general! Towards a Domain-Independent Approach for Detecting Sarcasm
Automatic sarcasm detection methods have traditionally been designed for maximum performance on a specific domain.
Detecting Sarcasm is Extremely Easy ;-)
Detecting sarcasm in text is a particularly challenging problem in computational semantics, and its solution may vary across different types of text.
Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data
Crowdsourcing offers a convenient means of obtaining labeled data quickly and inexpensively.
