Probabilistic Distributional Semantics with Latent Variable Models | Citedby Results | Computational Linguistics | MIT Press

Skip to Main Content

Skip Nav Destination

Probabilistic Distributional Semantics with Latent Variable Models

Computational Linguistics (2014) 40 (3): 587–631.

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

Detecting bipolar disorder on social media by post grouping and interpretable deep learning

Syauki Aulia Thamrin
Eva E. Chen
Arbee L. P. Chen

Journal of Intelligent Information Systems (2024)

Understanding Philosophies of Higher Education between Countries in China’s Belt and Road Initiative: Analysis of University Mottos Based on Natural Language Processing Technology

Hengli Wang
Qiuyun Lu

Sage Open (2022) 12 (4)

Applying Text Mining, Clustering Analysis, and Latent Dirichlet Allocation Techniques for Topic Classification of Environmental Education Journals

I-Cheng Chang
Tai-Kuei Yu
Yu-Jie Chang
Tai-Yi Yu

Sustainability (2021) 13 (19): 10856.

Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

Nikola Mrkšić
Ivan Vulić
Diarmuid Ó Séaghdha
Ira Leviant
Roi Reichart
Milica Gašić
Anna Korhonen
Steve Young

Transactions of the Association for Computational Linguistics (2017) 5: 309.

Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets

Rotem Dror
Gili Baumer
Marina Bogomolov
Roi Reichart

Transactions of the Association for Computational Linguistics (2017) 5: 471.

Distributed Representations of Lexical Sets and Prototypes in Causal Alternation Verbs

Edoardo Maria Ponti
Bernardo Magnini
Elisabetta Jezek

Italian Journal of Computational Linguistics (2017) 3 (1): 25.