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Automatic Evaluation of Topic Coherence
David Newman
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Jey Han Lau
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Karl Grieser
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Timothy Baldwin
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Paper Details:
Month: June
Year: 2010
Location: Los Angeles, California
Venue:
NAACL |
Citations
URL
Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs
Ximing Li
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Jinjin Chi
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Changchun Li
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Jihong Ouyang
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Bo Fu
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Automatic Labelling of Topics with Neural Embeddings
Shraey Bhatia
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Jey Han Lau
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Timothy Baldwin
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‘Calling on the classical phone’: a distributional model of adjective-noun errors in learners’ English
Aurélie Herbelot
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Ekaterina Kochmar
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Bayesian Checking for Topic Models
David Mimno
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David Blei
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Optimizing Semantic Coherence in Topic Models
David Mimno
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Hanna Wallach
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Edmund Talley
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Miriam Leenders
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Andrew McCallum
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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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Extracting Clusters of Specialist Terms from Unstructured Text
Aaron Gerow
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Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts
Jiwei Li
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Alan Ritter
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Claire Cardie
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Eduard Hovy
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Evaluation methods for unsupervised word embeddings
Tobias Schnabel
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Igor Labutov
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David Mimno
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Thorsten Joachims
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Summarizing Topical Contents from PubMed Documents Using a Thematic Analysis
Sun Kim
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Lana Yeganova
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W. John Wilbur
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Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections
Jingwei Zhang
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Aaron Gerow
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Jaan Altosaar
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James Evans
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Richard Jean So
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EMNLP versus ACL: Analyzing NLP research over time
Sujatha Das Gollapalli
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Xiaoli Li
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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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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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GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model
Qile Zhu
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Zheng Feng
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Xiaolin Li
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Distributional Lexical Entailment by Topic Coherence
Laura Rimell
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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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Measuring the Similarity between Automatically Generated Topics
Nikolaos Aletras
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Mark Stevenson
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Extracting and Understanding Contrastive Opinion through Topic Relevant Sentences
Ebuka Ibeke
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Chenghua Lin
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Adam Wyner
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Mohamad Hardyman Barawi
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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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Can Topic Modelling benefit from Word Sense Information?
Adriana Ferrugento
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Hugo Gonçalo Oliveira
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Ana Alves
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Filipe Rodrigues
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Studying the Temporal Dynamics of Word Co-occurrences: An Application to Event Detection
Daniel Preoţiuc-Pietro
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P. K. Srijith
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Mark Hepple
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Trevor Cohn
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SurfShop: combing a product ontology with topic model results for online window-shopping.
Zofia Stankiewicz
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Satoshi Sekine
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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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Lifelong Machine Learning for Topic Modeling and Beyond
Zhiyuan Chen
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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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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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Interactive Topic Modeling
Yuening Hu
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Jordan Boyd-Graber
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Brianna Satinoff
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Are Semantically Coherent Topic Models Useful for Ad Hoc Information Retrieval?
Romain Deveaud
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Eric SanJuan
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Patrice Bellot
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Text Classification based on the Latent Topics of Important Sentences extracted by the PageRank Algorithm
Yukari Ogura
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Ichiro Kobayashi
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Linggle: a Web-scale Linguistic Search Engine for Words in Context
Joanne Boisson
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Ting-Hui Kao
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Jian-Cheng Wu
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Tzu-Hsi Yen
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Jason S. Chang
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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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Particle Filter Rejuvenation and Latent Dirichlet Allocation
Chandler May
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Alex Clemmer
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Benjamin Van Durme
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Automatic Labelling of Topic Models Learned from Twitter by Summarisation
Amparo Elizabeth Cano Basave
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Yulan He
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Ruifeng Xu
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User Based Aggregation for Biterm Topic Model
Weizheng Chen
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Jinpeng Wang
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Yan Zhang
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Hongfei Yan
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Xiaoming Li
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Detecting Common Discussion Topics Across Culture From News Reader Comments
Bei Shi
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Wai Lam
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Lidong Bing
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Yinqing Xu
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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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Topically Driven Neural Language Model
Jey Han Lau
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Timothy Baldwin
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Trevor Cohn
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Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling
Jeffrey Lund
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Connor Cook
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Kevin Seppi
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Jordan Boyd-Graber
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Topical Coherence in LDA-based Models through Induced Segmentation
Hesam Amoualian
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Wei Lu
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Eric Gaussier
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Georgios Balikas
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Massih R. Amini
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Marianne Clausel
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Neural Models for Documents with Metadata
Dallas Card
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Chenhao Tan
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Noah A. Smith
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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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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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Detecting Cross-Cultural Differences Using a Multilingual Topic Model
E.D. Gutiérrez
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Ekaterina Shutova
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Patricia Lichtenstein
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Gerard de Melo
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Luca Gilardi
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You and me... in a vector space: modelling individual speakers with distributional semantics
Aurélie Herbelot
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Behrang QasemiZadeh
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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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A New Sentence Compression Dataset and Its Use in an Abstractive Generate-and-Rank Sentence Compressor
Dimitrios Galanis
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Ion Androutsopoulos
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Topic Extraction based on Prior Knowledge obtained from Target Documents
Kayo Tatsukawa
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Concurrent Visualization of Relationships between Words and Topics in Topic Models
Alison Smith
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Jason Chuang
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Yuening Hu
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Jordan Boyd-Graber
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Leah Findlater
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Mining Themes and Interests in the Asperger’s and Autism Community
Yangfeng Ji
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Hwajung Hong
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Rosa Arriaga
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Agata Rozga
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Gregory Abowd
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Jacob Eisenstein
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Mr Darcy and Mr Toad, gentlemen: distributional names and their kinds
Aurélie Herbelot
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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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Accounting ngrams and multi-word terms can improve topic models
Michael Nokel
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Natalia Loukachevitch
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Subsumption Preservation as a Comparative Measure for Evaluating Sense-Directed Embeddings
Ali Seyed
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Learning and Evaluating Sparse Interpretable Sentence Embeddings
Valentin Trifonov
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Octavian-Eugen Ganea
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Anna Potapenko
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Thomas Hofmann
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No URLs Found
Field Of Study
Task
Semantic Similarity
Machine Translation
Approach
Topic Modeling
Graphical Model
Language
English
Dataset
News
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