no code implementations • PANDL (COLING) 2022 • Remo Nitschke, Yuwei Wang, Chen Chen, Adarsh Pyarelal, Rebecca Sharp
Natural language (as opposed to structured communication modes such as Morse code) is by far the most common mode of communication between humans, and can thus provide significant insight into both individual mental states and interpersonal dynamics.
1 code implementation • EMNLP 2023 • Md Messal Monem Miah, Adarsh Pyarelal, Ruihong Huang
We propose a framework for online multimodal dialog act (DA) classification based on raw audio and ASR-generated transcriptions of current and past utterances.
Ranked #1 on Dialogue Act Classification on EMOTyDA
no code implementations • 19 Oct 2023 • Paulo Soares, Adarsh Pyarelal, Kobus Barnard
We find that the players' behaviors are affected by what they see in their in-game field of view, their beliefs about the meaning of the markers, and their beliefs about which meaning the team decided to adopt.
no code implementations • 16 Nov 2022 • Chinmai Basavaraj, Adarsh Pyarelal, Evan Carter
We demonstrate that our approach for modeling behavior in multiple timescales substantially improves prediction of future behavior compared to methods that do not model behavior at multiple timescales.
no code implementations • 12 Nov 2022 • Liang Zhang, Justin Lieffers, Adarsh Pyarelal
Human decision-making often involves combining similar states into categories and reasoning at the level of the categories rather than the actual states.
no code implementations • 12 Nov 2022 • Liang Zhang, Justin Lieffers, Adarsh Pyarelal
We contend that for an artificially intelligent agent to effectively model human teammates, i. e., demonstrate computational theory of mind (ToM), it should do the same.
no code implementations • 18 Apr 2021 • Adarsh Pyarelal, Aditya Banerjee, Kobus Barnard
The benefits of this approach include rapid, scalable, and efficient development of virtual environments, the ability to control the statistics of the environment at a semantic level, and the ability to generate novel environments in response to player actions in real time.
no code implementations • LREC 2020 • Maria Alexeeva, Rebecca Sharp, Marco A. Valenzuela-Esc{\'a}rcega, Jennifer Kadowaki, Adarsh Pyarelal, Clayton Morrison
Extending machine reading approaches to extract mathematical concepts and their descriptions is useful for a variety of tasks, ranging from mathematical information retrieval to increasing accessibility of scientific documents for the visually impaired.
1 code implementation • 21 Jan 2020 • Adarsh Pyarelal, Marco A. Valenzuela-Escarcega, Rebecca Sharp, Paul D. Hein, Jon Stephens, Pratik Bhandari, HeuiChan Lim, Saumya Debray, Clayton T. Morrison
Models of complicated systems can be represented in different ways - in scientific papers, they are represented using natural language text as well as equations.
1 code implementation • NAACL 2019 • Rebecca Sharp, Adarsh Pyarelal, Benjamin Gyori, Keith Alcock, Egoitz Laparra, Marco A. Valenzuela-Esc{\'a}rcega, Ajay Nagesh, Vikas Yadav, John Bachman, Zheng Tang, Heather Lent, Fan Luo, Mithun Paul, Steven Bethard, Kobus Barnard, Clayton Morrison, Mihai Surdeanu
Building causal models of complicated phenomena such as food insecurity is currently a slow and labor-intensive manual process.
1 code implementation • 4 Dec 2018 • Felix Kling, Honglei Li, Adarsh Pyarelal, Huayang Song, Shufang Su
The exotic decay modes of non-Standard Model (SM) Higgses in models with extended Higgs sectors have the potential to serve as powerful search channels to explore the space of Two-Higgs Doublet Models (2HDMs) that cannot be studied effectively using conventional decay channels.
High Energy Physics - Phenomenology