BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//LORIA - ECPv6.16.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:LORIA
X-ORIGINAL-URL:https://www.loria.fr
X-WR-CALDESC:Events for LORIA
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20221030T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20221115T140000
DTEND;TZID=Europe/Paris:20221115T160000
DTSTAMP:20260612T030610
CREATED:20221013T111012Z
LAST-MODIFIED:20221031T084800Z
UID:17091-1668520800-1668528000@www.loria.fr
SUMMARY:Seminar - Gaël Guibon (Synalp)
DESCRIPTION:A seminar entitled “From Private Chat Annotation to Automatic Identification of Problematic Conversations in Customer Services”\,  with Gaël Guibon (Synalp team) will take place on Thursday\, 8th November 2022 at 10:00 in room A008. \nAbstract\nMany companies make use of customer service chats to help the customer and try to solve their problem. However\, customer service data is confidential and as such\, cannot easily be shared in the research community. This also implies that these data are rarely labeled\, making it difficult to take advantage of it with machine learning methods. \nIn this seminar several works on emotion recognition in conversation and customer service related tasks will be presented. First we will go through data annotation with the annotation campaign from scratch even creating a dedicated annotation tool. Second\, we will tackle data and label agnostic models using meta-learning. Then we will present the first work on a few-shot learning approach to emotion recognition in conversation. Finally\, we will end the presentation with the first work on problem status and problematic conversation identification. \nAll this work has been made during a joint post-doctoral position at the Information Processing and Communications Laboratory (LTCI) from Télécom Paris and the SNCF Direction Technologie Innovation Recherche Groupe (DTIPG).
URL:https://www.loria.fr/event/seminar-gael-guibon-synalp/
LOCATION:A008
CATEGORIES:Séminaire
END:VEVENT
END:VCALENDAR