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Events for November 25, 2024
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PhD Dissertation Defense - Jacqueline Brixey
Mon, Nov 25, 2024 @ 08:30 AM - 10:30 AM
Thomas Lord Department of Computer Science
University Calendar
Title: CODE-SWITCHING DIALOGUE SYSTEMS: AN INVESTIGATION INTO HOW SYSTEMS CAN SUPPORT CODE-SWITCHING AND WHEN THEY SHOULD, WITH ANALYSIS OF TWO CHOCTAW-ENGLISH APPLICATIONS
Date: November 25, 2024
Time: 8:30 am-10:30 am
Venue: USC ICT Room #202-Kilimanjaro
Committee: David Traum (chair), Maja Mataric, Khalil Iskarous
Abstract: This dissertation explores the development and application of bilingual dialogue systems, focusing specifically on systems that support English and Choctaw, an endangered American Indigenous language. Bilingual dialogue systems are critical in facilitating more natural and inclusive interactions for the many bilingual users worldwide, yet current systems often fail to accommodate linguistic features of bilingualism, such as code-switching.The dissertation investigates dialogue systems that manage unbalanced bilingualism and appropriate code-switching, improving user experience and system performance. I explore research questions such as whether code-switching leads to higher rapport, higher learning gains, or enhances interactions to collect endangered language audio data. Additionally, I address the sociocultural and linguistic challenges of developing conversational agents for endangered Indigenous languages.Location: USC ICT Room #202-Kilimanjaro
Audiences: Everyone Is Invited
Contact: Ellecia Williams
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EiS Communications Hub - Tutoring for Engineering Ph.D. StudentsMon, Nov 25, 2024 @ 10:00 AM - 12:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Come to the EiS Communications Hub for one-on-one tutoring from Viterbi faculty for Ph.D. writing and speaking projects!
Location: Ronald Tutor Hall of Engineering (RTH) - 222A
Audiences: Viterbi Ph.D. Students
Contact: Helen Choi
Event Link: https://sites.google.com/usc.edu/eishub/home
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Automatic Evaluation of Clinical Notes Generated from Doctor-Patient-Conversations
Mon, Nov 25, 2024 @ 11:00 AM - 11:50 AM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Mojtaba Elyaderani, Data Science Specialist - Solventum Corporation, Health Information Systems Business
Talk Title: Automatic Evaluation of Clinical Notes Generated from Doctor-Patient-Conversations
Abstract: Detailed detailed clinical documentation based on doctor-patient conversations is a necessary yet burdensome task for physicians and is often cited as one of the leading causes of physician burn-out. One way to reduce the documentation workload on physicians is to hire medical scribes, who assist in writing clinical notes. However, this option is costly and difficult to scale, putting it beyond the reach of many practitioners. This has led to the emergence of the ``ambient clinical documentation'' framework, where the conversation between doctor and patient is recorded and transcribed (with the patient's permission) and passed to a clinically trained Language Model (LM) which generates the corresponding note. Despite the recent improvements in their performance, modern LMs still make many errors that are unacceptable in a medical setting and can generate clinical notes that are of poor quality. For example, they may miss critical information, contain hallucinated content, or include important information in wrong note sections. Delivering poor-quality notes to physicians can be an extra burden, potentially resulting in a more time-consuming note creation process than simply starting from scratch. This proves the necessity of evaluating LM-generated clinical notes in a scalable and efficient manner. In this presentation we will introduce few such approaches and examine their weaknesses and strengths.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Zoom Link: https://usc.zoom.us/j/95154565194?pwd=LMaaRHXgKCeabJ7UxufaOW3HUu5Ys2.1
Host: Associate Prof. Meisam Razaviyayn
Webcast: https://usc.zoom.us/j/95154565194?pwd=LMaaRHXgKCeabJ7UxufaOW3HUu5Ys2.1Location: Olin Hall of Engineering (OHE) - 136
WebCast Link: https://usc.zoom.us/j/95154565194?pwd=LMaaRHXgKCeabJ7UxufaOW3HUu5Ys2.1
Audiences: Everyone Is Invited
Contact: Thomas Lord Department of Computer Science
