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Travelled to:
1 × Australia
1 × France
3 × Canada
5 × USA
Collaborated with:
J.Heer S.D.Kamvar D.Klein D.Ramage A.Y.Ng S.I.Wang J.Chuang S.Gupta S.Green S.T.Dumais K.Toutanova M.Savva A.X.Chang P.Hanrahan R.Socher C.C.Lin D.L.MacLean A.Lembke
Talks about:
model (5) interpret (3) topic (3) constraint (2) languag (2) cluster (2) analysi (2) natur (2) level (2) forum (2)

Person: Christopher D. Manning

DBLP DBLP: Manning:Christopher_D=

Contributed to:

CSCW 20152015
CHI 20142014
CHI 20132013
ICML c2 20132013
ICML c3 20132013
CHI 20122012
ICML 20112011
KDD 20112011
ICML 20042004
ICML 20022002

Wrote 11 papers:

CSCW-2015-MacLeanGLMH #analysis #health #named #online
Forum77: An Analysis of an Online Health Forum Dedicated to Addiction Recovery (DLM, SG, AL, CDM, JH), pp. 1511–1526.
CHI-2014-SavvaCMH #automation #generative #keyword #named
TransPhoner: automated mnemonic keyword generation (MS, AXC, CDM, PH), pp. 3725–3734.
CHI-2013-GreenHM
The efficacy of human post-editing for language translation (SG, JH, CDM), pp. 439–448.
ICML-c2-2013-WangM #performance
Fast dropout training (SIW, CDM), pp. 118–126.
ICML-c3-2013-ChuangGMH #topic
Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment (JC, SG, CDM, JH), pp. 612–620.
CHI-2012-ChuangRMH #analysis #design #modelling #trust #visualisation
Interpretation and trust: designing model-driven visualizations for text analysis (JC, DR, CDM, JH), pp. 443–452.
ICML-2011-SocherLNM #natural language #network #parsing #recursion
Parsing Natural Scenes and Natural Language with Recursive Neural Networks (RS, CCYL, AYN, CDM), pp. 129–136.
KDD-2011-RamageMD #mining #modelling #topic
Partially labeled topic models for interpretable text mining (DR, CDM, STD), pp. 457–465.
ICML-2004-ToutanovaMN #dependence #learning #modelling #random #word
Learning random walk models for inducing word dependency distributions (KT, CDM, AYN).
ICML-2002-KamvarKM #algorithm #approach #clustering #modelling #using
Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based approach (SDK, DK, CDM), pp. 283–290.
ICML-2002-KleinKM #clustering #constraints #information management
From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering (DK, SDK, CDM), pp. 307–314.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.