BEGIN:VCALENDAR VERSION:2.0 PRODID:-//128.220.36.25//NONSGML kigkonsult.se iCalcreator 2.26.9// CALSCALE:GREGORIAN METHOD:PUBLISH X-FROM-URL:https://www.clsp.jhu.edu X-WR-TIMEZONE:America/New_York BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:STANDARD DTSTART:20231105T020000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RDATE:20241103T020000 TZNAME:EST END:STANDARD BEGIN:DAYLIGHT DTSTART:20240310T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RDATE:20250309T020000 TZNAME:EDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:ai1ec-21057@www.clsp.jhu.edu DTSTAMP:20240329T061739Z CATEGORIES;LANGUAGE=en-US:Seminars CONTACT: DESCRIPTION:
Abstract
\nThis talk will outline the major challenging in porting mainstream speech technology to the domain o f clinical applications\; in particular\, the need for personalised system s\, the challenge of working in an inherently sparse data domain and devel oping meaningful collaborations with all stakeholders. The talk will give an overview of recent state-of-the-art research from current projects incl uding in the areas of recognition of disordered speech\, automatic process ing of conversations and the automatic detection and tracking of paralingu istic information at the University of Sheffield (UK)’s Speech and Hearing (SPandH) & Healthcare lab.
\nBiography
\nHei di is a Senior Lecturer (associate professor) in Computer Science at the U niversity of Sheffield\, United Kingdom. Her research interests are on the application of AI-based voice technologies to healthcare. In particular\, the detection and monitoring of people’s physical and mental health inclu ding verbal and non-verbal traits for expressions of emotion\, anxiety\, d epression and neurodegenerative conditions in e.g.\, therapeutic or diagno stic settings.
DTSTART;TZID=America/New_York:20211119T120000 DTEND;TZID=America/New_York:20211119T131500 LOCATION:Hackerman Hall B17 @ 3400 N. Charles Street\, Baltimore\, MD 21218 SEQUENCE:0 SUMMARY:Heidi Christensen (University of Sheffield\, UK) Virtual Seminar “A utomated Processing of Pathological Speech: Recent Work and Ongoing Challe nges” URL:https://www.clsp.jhu.edu/events/heidi-christensen-university-of-sheffie ld-uk-virtual-seminar-automated-processing-of-pathological-speech-recent-w ork-and-ongoing-challenges/ X-COST-TYPE:free X-TAGS;LANGUAGE=en-US:2021\,Christensen\,November END:VEVENT BEGIN:VEVENT UID:ai1ec-22423@www.clsp.jhu.edu DTSTAMP:20240329T061739Z CATEGORIES;LANGUAGE=en-US:Seminars CONTACT: DESCRIPTION: DTSTART;TZID=America/New_York:20221007T120000 DTEND;TZID=America/New_York:20221007T131500 LOCATION:Hackerman Hall B17 @ 3400 N. Charles Street\, Baltimore\, MD 21218 SEQUENCE:0 SUMMARY:Ariya Rastrow (Amazon) URL:https://www.clsp.jhu.edu/events/ariya-rastrow-amazon-2/ X-COST-TYPE:free X-TAGS;LANGUAGE=en-US:2022\,October\,Rastrow END:VEVENT BEGIN:VEVENT UID:ai1ec-24481@www.clsp.jhu.edu DTSTAMP:20240329T061739Z CATEGORIES;LANGUAGE=en-US:Seminars CONTACT: DESCRIPTION:Abstract
\nNatural language provides an intuitive and powerful interface to access knowledge at scale. Modern l anguage systems draw information from two rich knowledge sources: (1) info rmation stored in their parameters during massive pretraining and (2) docu ments retrieved at inference time. Yet\, we are far from building systems that can reliably provide information from such knowledge sources. In this talk\, I will discuss paths for more robust systems. In the first part of the talk\, I will present a module for scaling retrieval-based knowledge augmentation. We learn a compressor that maps retrieved documents into tex tual summaries prior to in-context integration. This not only reduces the computational costs but also filters irrelevant or incorrect information. In the second half of the talk\, I will discuss the challenges of updating knowledge stored in model parameters and propose a method to prevent mode ls from reciting outdated information by identifying facts that are prone to rapid change. I will conclude my talk by proposing an interactive syste m that can elicit information from users when needed.
\nBiog raphy
\nEunsol Choi is an assistant pro fessor in the Computer Science department at the University of Texas at Au stin. Prior to UT\, she spent a year at Google AI as a visiting researcher . Her research area spans natural language processing and machine learning . She is particularly interested in interpreting and reasoning about text in a dynamic real world context. She is a recipient of a Facebook research fellowship\, Google faculty research award\, Sony faculty award\, and an outstanding paper award at EMNLP. She received a Ph.D. in computer science and engineering from University of Washington and B.A in mathematics and computer science from Cornell University.
\nDTSTART;TZID=America/New_York:20240315T120000 DTEND;TZID=America/New_York:20240315T131500 LOCATION:Hackerman Hall B17 @ 3400 N. Charles Street\, Baltimore\, MD 21209 SEQUENCE:0 SUMMARY:Eunsol Choi (University of Texas at Austin) “Knowledge-Rich Languag e Systems in a Dynamic World” URL:https://www.clsp.jhu.edu/events/eunsol-choi-university-of-texas-at-aust in-knowledge-rich-language-systems-in-a-dynamic-world/ X-COST-TYPE:free X-TAGS;LANGUAGE=en-US:2024\,Choi\,March END:VEVENT END:VCALENDAR