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Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality
Jey Han Lau
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David Newman
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Timothy Baldwin
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Paper Details:
Month: April
Year: 2014
Location: Gothenburg, Sweden
Venue:
EACL |
Citations
URL
Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors
Weiwei Yang
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Jordan Boyd-Graber
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Philip Resnik
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Adapting Topic Models using Lexical Associations with Tree Priors
Weiwei Yang
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Jordan Boyd-Graber
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Philip Resnik
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Quantifying the Effects of Text Duplication on Semantic Models
Alexandra Schofield
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Laure Thompson
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David Mimno
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Coherence-Aware Neural Topic Modeling
Ran Ding
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Ramesh Nallapati
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Bing Xiang
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Topic Intrusion for Automatic Topic Model Evaluation
Shraey Bhatia
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Jey Han Lau
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Timothy Baldwin
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Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations
Zhe Zhang
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Munindar Singh
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Siamese Network-Based Supervised Topic Modeling
Minghui Huang
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Yanghui Rao
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Yuwei Liu
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Haoran Xie
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Fu Lee Wang
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Pulling Out the Stops: Rethinking Stopword Removal for Topic Models
Alexandra Schofield
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Måns Magnusson
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David Mimno
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An Automatic Approach for Document-level Topic Model Evaluation
Shraey Bhatia
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Jey Han Lau
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Timothy Baldwin
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Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models
Thang Nguyen
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Jordan Boyd-Graber
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Jeffrey Lund
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Kevin Seppi
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Eric Ringger
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The Sensitivity of Topic Coherence Evaluation to Topic Cardinality
Jey Han Lau
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Timothy Baldwin
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Deep Dirichlet Multinomial Regression
Adrian Benton
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Mark Dredze
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Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation
Shudong Hao
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Jordan Boyd-Graber
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Michael J. Paul
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Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms
Thang Nguyen
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Yuening Hu
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Jordan Boyd-Graber
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A Computationally Efficient Algorithm for Learning Topical Collocation Models
Zhendong Zhao
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Lan Du
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Benjamin Börschinger
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John K Pate
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Massimiliano Ciaramita
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Mark Steedman
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Mark Johnson
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A Discriminative Topic Model using Document Network Structure
Weiwei Yang
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Jordan Boyd-Graber
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Philip Resnik
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ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling
Forough Poursabzi-Sangdeh
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Jordan Boyd-Graber
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Leah Findlater
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Kevin Seppi
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Nonparametric Spherical Topic Modeling with Word Embeddings
Kayhan Batmanghelich
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Ardavan Saeedi
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Karthik Narasimhan
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Sam Gershman
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A Novel Measure for Coherence in Statistical Topic Models
Fred Morstatter
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Huan Liu
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Topically Driven Neural Language Model
Jey Han Lau
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Timothy Baldwin
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Trevor Cohn
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Improving Topic Quality by Promoting Named Entities in Topic Modeling
Katsiaryna Krasnashchok
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Salim Jouili
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Comparing Apples to Apple: The Effects of Stemmers on Topic Models
Alexandra Schofield
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David Mimno
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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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Topic Model Stability for Hierarchical Summarization
John Miller
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Kathleen McCoy
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https://www.mturk.com/mturk/
https://github.com/jhlau/topic_
Field Of Study
Task
Semantic Similarity
Information Retrieval
Language
English
Dataset
News
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