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PCFGs, Topic Models, Adaptor Grammars and Learning Topical Collocations and the Structure of Proper Names
Mark Johnson
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Paper Details:
Month: July
Year: 2010
Location: Uppsala, Sweden
Venue:
ACL |
Citations
URL
Grammar induction from (lots of) words alone
John K Pate
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Mark Johnson
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Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation
Jordan Boyd-Graber
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Philip Resnik
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Modeling Perspective Using Adaptor Grammars
Eric Hardisty
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Jordan Boyd-Graber
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Philip Resnik
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A Phrase-Discovering Topic Model Using Hierarchical Pitman-Yor Processes
Robert Lindsey
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William Headden
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Michael Stipicevic
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Modelling Sequential Text with an Adaptive Topic Model
Lan Du
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Wray Buntine
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Huidong Jin
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Exploring Adaptor Grammars for Native Language Identification
Sze-Meng Jojo Wong
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Mark Dras
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Mark Johnson
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Language Transfer Hypotheses with Linear SVM Weights
Shervin Malmasi
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Mark Dras
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SITS: A Hierarchical Nonparametric Model using Speaker Identity for Topic Segmentation in Multiparty Conversations
Viet-An Nguyen
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Jordan Boyd-Graber
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Philip Resnik
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Exploiting Social Information in Grounded Language Learning via Grammatical Reduction
Mark Johnson
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Katherine Demuth
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Michael Frank
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Robust Entity Clustering via Phylogenetic Inference
Nicholas Andrews
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Jason Eisner
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Mark Dredze
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Parsing entire discourses as very long strings: Capturing topic continuity in grounded language learning
Minh-Thang Luong
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Michael C. Frank
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Mark Johnson
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Online Adaptor Grammars with Hybrid Inference
Ke Zhai
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Jordan Boyd-Graber
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Shay B. Cohen
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evision PDF of 'Improving Topic Models with Latent Feature Word Representations
Dat Quoc Nguyen
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Richard Billingsley
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Lan Du
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Mark Johnson
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Do POS Tags Help to Learn Better Morphological Segmentations?
Kairit Sirts
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Mark Johnson
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Improving Topic Coherence with Latent Feature Word Representations in MAP Estimation for Topic Modeling
Dat Quoc Nguyen
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Kairit Sirts
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Mark Johnson
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NLI Shared Task 2013: MQ Submission
Shervin Malmasi
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Sze-Meng Jojo Wong
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Mark Dras
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A Method of Accounting Bigrams in Topic Models
Michael Nokel
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Natalia Loukachevitch
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Topic Models: Accounting Component Structure of Bigrams
Michael Nokel
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Natalia Loukachevitch
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http://web.science.mq.edu.au/
Field Of Study
Task
Word Segmentation
Approach
Topic Modeling
Generative Model
Graphical Model
Language
Chinese
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