Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Dead Man Tweeting
Nepa, Stockholm.
Gavagai, Stockholm.
KTH, School of Computer Science and Communication (CSC), Theoretical Computer Science, TCS.ORCID iD: 0000-0003-4042-4919
2016 (English)In: RE-WOCHAT Workshop on Collecting and Generating Resources for Chatbots and Conversational Agents: Development and Evaluation, 2016Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a prototype — Dead Man Tweeting — of a system that learns semantic avatars from (dead) people’s texts, and makes the avatars come alive on Twitter. The system includes a language model for generating sequences of words, a topic model for ensuring that the sequences are topically coherent, and a semantic model that ensures the avatars can be productive and generate novel sequences. The avatars are connected to Twitter and are triggered by keywords that are significant for each particular avatar. 

Place, publisher, year, edition, pages
2016.
National Category
Interaction Technologies
Identifiers
URN: urn:nbn:se:kth:diva-187747OAI: oai:DiVA.org:kth-187747DiVA: diva2:931527
Conference
Workshop on Collecting and Generating Resources for Chatbots and Conversational Agents - Development and Evaluation,Portorož (Slovenia), May 28, 2016
Note

QC 20160823

Available from: 2016-05-28 Created: 2016-05-28 Last updated: 2016-08-23Bibliographically approved

Open Access in DiVA

fulltext(333 kB)49 downloads
File information
File name FULLTEXT01.pdfFile size 333 kBChecksum SHA-512
ab16458836c301bdcfaf5298370f8e6a34b726442d55f498ef7dca562fcd315e567b8aea27afac9b7557c2d65ec5dabaa197e8e527202cafa48cf5562e6801b0
Type fulltextMimetype application/pdf

Other links

Workshop website

Search in DiVA

By author/editor
Karlgren, Jussi
By organisation
Theoretical Computer Science, TCS
Interaction Technologies

Search outside of DiVA

GoogleGoogle Scholar
Total: 49 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 92 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf