Travelled to:
1 × Brazil
1 × Canada
1 × China
1 × South Korea
5 × USA
Collaborated with:
∅ D.R.Radev L.Hemphill O.Kareem M.Shapiro Z.Zhang R.Yan X.Wan L.Kong X.Li Y.Zhang
Talks about:
summar (3) communiti (2) metadata (2) linguist (2) hierarch (2) review (2) gender (2) mobil (2) learn (2) devic (2)
Person: Jahna Otterbacher
DBLP: Otterbacher:Jahna
Contributed to:
Wrote 10 papers:
- CHI-2015-Otterbacher #bias #crowdsourcing #metadata
- Crowdsourcing Stereotypes: Linguistic Bias in Metadata Generated via GWAP (JO), pp. 1955–1964.
- CSCW-2013-HemphillOS #question #twitter #what
- What’s congress doing on twitter? (LH, JO, MS), pp. 877–886.
- CSCW-2012-HemphillO #adaptation #community #gender #learning #overview
- Learning the lingo?: gender, prestige and linguistic adaptation in review communities (LH, JO), pp. 305–314.
- SIGIR-2011-YanWOKLZ #framework #optimisation #summary #timeline
- Evolutionary timeline summarization: a balanced optimization framework via iterative substitution (RY, XW, JO, LK, XL, YZ), pp. 745–754.
- CIKM-2010-Otterbacher #gender #metadata
- Inferring gender of movie reviewers: exploiting writing style, content and metadata (JO), pp. 369–378.
- CHI-2009-Otterbacher #community #online #quality
- “Helpfulness” in online communities: a measure of message quality (JO), pp. 955–964.
- SIGIR-2006-OtterbacherR #detection
- Fact-focused novelty detection: a feasibility study (JO, DRR), pp. 687–688.
- SIGIR-2006-OtterbacherRK #mobile #summary
- News to go: hierarchical text summarization for mobile devices (JO, DRR, OK), pp. 589–596.
- SIGIR-2005-RadevKO #mobile #summary
- Hierarchical text summarization for WAP-enabled mobile devices (DRR, OK, JO), p. 679.
- CIKM-2003-ZhangOR #learning #using
- Learning cross-document structural relationships using boosting (ZZ, JO, DRR), pp. 124–130.