BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Department of Computer Science - ECPv5.12.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Department of Computer Science
X-ORIGINAL-URL:https://www.cs.jhu.edu
X-WR-CALDESC:Events for Department of Computer Science
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20191103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190221T104500
DTEND;TZID=America/New_York:20190221T114500
DTSTAMP:20220112T094456
CREATED:20210629T210717Z
LAST-MODIFIED:20210629T210717Z
UID:1962225-1550745900-1550749500@www.cs.jhu.edu
SUMMARY:CS Seminar: João Sedoc – “Building and Evaluating Conversational Agents”
DESCRIPTION:LocationHackerman Hall B-17AbstractThere has been a renewed focus on dialog systems\, including non-task driven conversational agents (i.e. “chit-chat bots”). Dialog is a challenging problem since it spans multiple conversational turns. To further complicate the problem\, there are many contextual cues and valid possible utterances. We propose that dialog is fundamentally a multiscale process\, given that context is carried from previous utterances in the conversation. Deep learning dialog models\, which are based on recurrent neural network (RNN) encoder-decoder sequence-to-sequence models\, lack the ability to create temporal and stylistic coherence in conversations. João’s thesis focuses on novel neural models for topical and stylistic coherence and their evaluation.BioJoão is a final year PhD student at the University of Pennsylvania\, advised by Lyle Ungar. His PhD research focuses on Natural Language Generation\, particularly deep learning methods for non-task driven conversational agents (chatbots) and the evaluation of these models. His research also includes work on word and sentence embeddings\, word and verb predicate clustering\, and multi-scale models. He is generally interested in Natural Language Processing\, Time Series Analysis\, and Deep Learning.HostBenjamin Van DurmeVideoWatch seminar video.
URL:https://www.cs.jhu.edu/event/cs-seminar-joao-sedoc-building-and-evaluating-conversational-agents/
END:VEVENT
END:VCALENDAR