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PRODID:-//Memento EPFL//
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SUMMARY:Encouraging and enabling conciseness in text production
DTSTART:20180601T140000
DTEND:20180601T160000
DTSTAMP:20260925T153614Z
UID:016c8201eb19b8b713869b51ad5a9511f4ca5829f799cdcce81e6ae1
CATEGORIES:Conferences - Seminars
DESCRIPTION:Kristina Gligoric\nEDIC candidacy exam\nExam president: Prof. 
 Pierre Dillenbourg\nThesis advisor: Prof. Robert West\nCo-examiner: Prof. 
 Karl Aberer\n\nAbstract\nThis proposal describes the interplay between con
 straints and text content production on online social media. Our research 
 goal is providing a better understanding of the extent to which users can 
 benefit from producing concise content and developing the ways of supporti
 ng them\, thus enabling conciseness in text production. In this proposal\,
  three related works and their relation to this line of research are discu
 ssed. Firstly\, a recent background study by Tan et al.\, revealing that w
 ording has significant effects on message propagation and examining the fe
 atures that improve it on Twitter is discussed. Secondly\, work by Bernste
 in et al. introducing a tool called Soylent is described. It demonstrates 
 the feasibility of engaging crowds to assist users in shortening text such
  as blogs or technical papers. Finally\, an attention-based neural model f
 or abstractive sentence summarization developed by Rush et al. is consider
 ed in order to examine whether this beneficial process can be automated.\n
 \nBackground papers\nThe effect of wording on message propagation: Topic-
  and author-controlled natural experiments on Twitter\, by Tan\, C.\, et a
 l.\nSoylent: a word processor with a crowd inside\, by Bernstein M.\, et a
 l.\nA Neural Attention Model for Abstractive Sentence Summarization\, by R
 ush\, A.\, et al.\n 
LOCATION:BC 02 https://plan.epfl.ch/?room==BC%2002
STATUS:CONFIRMED
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