---
title: "Who cites From Frequency to Meaning: Vector Space Models…"
description: "554 papers of the Elamur Research library cite «From Frequency to Meaning: Vector Space Models of Semantics», found in their bibliographies; the most…"
canonical: "https://research.elamur.ai/free/en/papers/turney-2010-frequency-meaning-vector-space-models/cited-by/"
---
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# Who cites «From Frequency to Meaning: Vector Space Models of Semantics»

554 papers of our library cite it (of the 140,884 whose bibliographies we read) · 40 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/turney-2010-frequency-meaning-vector-space-models/)

1. [**Distributed Representations of Sentences and Documents**Quoc V. Le, Tomas Mikolov*2014 · 5,747 citations*](https://md.research.elamur.ai/free/en/papers/le-2014-distributed-representations-sentences-documents/)
2. [**Learning Word Vectors for Sentiment Analysis**Andrew L. Maas, Raymond E. Daly, Peter T. Pham, et al.*2011 · 4,272 citations*](https://md.research.elamur.ai/free/en/papers/maas-2011-learning-word-vectors-sentiment-analysis/)
3. [**Distributed Representations of Words and Phrases and their Compositionality**Tomas Mikolov, Ilya Sutskever, Kai Chen, et al.*2013 · 4,233 citations*](https://md.research.elamur.ai/free/en/papers/mikolov-2013-distributed-representations-words-phrases-their/)
4. [**Word Representations: A Simple and General Method for Semi-Supervised Learning**Joseph Turian, Lev-Arie Ratinov, Yoshua Bengio*2010 · 2,421 citations*](https://md.research.elamur.ai/free/en/papers/turian-2010-word-representations-simple-general-method/)
5. [**Enriching Word Vectors with Subword Information**Piotr Bojanowski, Edouard Grave, Armand Joulin, et al.*2017 · 2,218 citations*](https://md.research.elamur.ai/free/en/papers/bojanowski-2017-enriching-word-vectors-subword-information/)
6. [**Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors**Marco Baroni, Georgiana Dinu, Germán Kruszewski*2014 · 1,678 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2014-don-t-count-predict-systematic/)
7. [**SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation**Felix Hill, Roi Reichart, Anna Korhonen*2015 · 1,622 citations*](https://md.research.elamur.ai/free/en/papers/hill-2015-simlex-999-evaluating-semantic-models/)
8. [**Semantic Compositionality through Recursive Matrix-Vector Spaces**Richard Socher, Brody Huval, Christopher D. Manning, et al.*2012 · 1,559 citations*](https://md.research.elamur.ai/free/en/papers/socher-2012-semantic-compositionality-through-recursive-matrix/)
9. [**Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change**William L. Hamilton, Jure Leskovec, Dan Jurafsky*2016 · 1,270 citations*](https://md.research.elamur.ai/free/en/papers/hamilton-2016-diachronic-word-embeddings-reveal-statistical/)
10. [**Grounded Compositional Semantics for Finding and Describing Images with Sentences**Richard Socher, Andrej Karpathy, Quoc V. Le, et al.*2014 · 909 citations*](https://md.research.elamur.ai/free/en/papers/socher-2014-grounded-compositional-semantics-finding-describing/)
11. [**Distributional Memory: A General Framework for Corpus-Based Semantics**Marco Baroni, Alessandro Lenci*2010 · 879 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2010-distributional-memory-general-framework-corpus/)
12. [**Improving Vector Space Word Representations Using Multilingual Correlation**Manaal Faruqui, Chris Dyer*2014 · 819 citations*](https://md.research.elamur.ai/free/en/papers/faruqui-2014-improving-vector-space-word-representations/)
13. [**Linguistic Regularities in Sparse and Explicit Word Representations**Omer Levy, Yoav Goldberg*2014 · 790 citations*](https://md.research.elamur.ai/free/en/papers/levy-2014-linguistic-regularities-sparse-explicit-word/)
14. [**Distributional Semantics in Technicolor**Elia Bruni, Gemma Boleda, Marco Baroni, et al.*2012 · 459 citations*](https://md.research.elamur.ai/free/en/papers/bruni-2012-distributional-semantics-technicolor/)
15. [**Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora**William L. Hamilton, Kevin Clark, Jure Leskovec, et al.*2016 · 431 citations*](https://md.research.elamur.ai/free/en/papers/hamilton-2016-inducing-domain-specific-sentiment-lexicons/)
16. [**Experience Grounds Language**Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al.*2020 · 429 citations*](https://md.research.elamur.ai/free/en/papers/bisk-2020-experience-grounds-language/)
17. [**How we BLESSed distributional semantic evaluation**Marco Baroni, Alessandro Lenci*2011 · 425 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2011-how-we-blessed-distributional-semantic/)
18. [**Literal and Metaphorical Sense Identification through Concrete and Abstract Context**Peter Turney, Yair Neuman, Dan Assaf, et al.*2011 · 394 citations*](https://md.research.elamur.ai/free/en/papers/turney-2011-literal-metaphorical-sense-identification-through/)
19. [**A Latent Variable Model Approach to PMI-based Word Embeddings**Sanjeev Arora, Yuanzhi Li, Yingyu Liang, et al.*2016 · 365 citations*](https://md.research.elamur.ai/free/en/papers/arora-2016-latent-variable-model-approach-pmi/)
20. [**Combining Language and Vision with a Multimodal Skip-gram Model**Angeliki Lazaridou, Nghia The Pham, Marco Baroni*2015 · 362 citations*](https://md.research.elamur.ai/free/en/papers/lazaridou-2015-combining-language-vision-multimodal-skip/)
21. [**Problems With Evaluation of Word Embeddings Using Word Similarity Tasks**Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, et al.*2016 · 332 citations*](https://md.research.elamur.ai/free/en/papers/faruqui-2016-problems-evaluation-word-embeddings-word/)
22. [**Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change**William L. Hamilton, Jure Leskovec, Dan Jurafsky*2016 · 324 citations*](https://md.research.elamur.ai/free/en/papers/hamilton-2016-cultural-shift-or-linguistic-drift/)
23. [**Entailment above the word level in distributional semantics**Marco Baroni, Raffaella Bernardi, Ngoc-Quynh Do, et al.*2012 · 318 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2012-entailment-above-word-level-distributional/)
24. [**Improving Distributional Similarity with Lessons Learned from Word Embeddings**Omer Levy, Yoav Goldberg, Ido Dagan*2015 · 313 citations*](https://md.research.elamur.ai/free/en/papers/levy-2015-improving-distributional-similarity-lessons-learned/)
25. [**Diachronic word embeddings and semantic shifts: a survey**Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, et al.*2018 · 282 citations*](https://md.research.elamur.ai/free/en/papers/kutuzov-2018-diachronic-word-embeddings-semantic-shifts/)
26. [**A Survey of Paraphrasing and Textual Entailment Methods**Ion Androutsopoulos, Prodromos Malakasiotis*2009 · 280 citations*](https://md.research.elamur.ai/free/en/papers/androutsopoulos-2009-survey-paraphrasing-textual-entailment-methods/)
27. [**Recurrent Convolutional Neural Networks for Discourse Compositionality**Nal Kalchbrenner, Phil Blunsom*2013 · 253 citations*](https://md.research.elamur.ai/free/en/papers/kalchbrenner-2013-recurrent-convolutional-neural-networks-discourse/)
28. [**Linear Algebraic Structure of Word Senses, with Applications to Polysemy**Sanjeev Arora, Yuanzhi Li, Yingyu Liang, et al.*2018 · 247 citations*](https://md.research.elamur.ai/free/en/papers/arora-2018-linear-algebraic-structure-word-senses/)
29. [**A distributional similarity approach to the detection of semantic change in the Google Books Ngram corpus.**Kristina Gulordava, Marco Baroni*2011 · 240 citations*](https://md.research.elamur.ai/free/en/papers/gulordava-2011-distributional-similarity-approach-detection-semantic/)
30. [**Inclusive yet Selective: Supervised Distributional Hypernymy Detection**Stephen Roller, Katrin Erk, Gemma Boleda*2014 · 217 citations*](https://md.research.elamur.ai/free/en/papers/roller-2014-inclusive-yet-selective-supervised-distributional/)
31. [**One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations**Yangfeng Ji, Jacob Eisenstein*2015 · 198 citations*](https://md.research.elamur.ai/free/en/papers/ji-2015-one-vector-is-not-enough/)
32. [**Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models**Haim Dubossarsky, Daphna Weinshall, Eitan Grossman*2017 · 196 citations*](https://md.research.elamur.ai/free/en/papers/dubossarsky-2017-outta-control-laws-semantic-change/)
33. [**Text: now in 2D! A framework for lexical expansion with contextual similarity**Chris Biemann, Martin Riedl*2013 · 185 citations*](https://md.research.elamur.ai/free/en/papers/biemann-2013-text-now-2d-framework-lexical/)
34. [**Annotated Gigaword**Courtney Napoles, Matthew Gormley, Benjamin Van Durme*2012 · 154 citations*](https://md.research.elamur.ai/free/en/papers/napoles-2012-annotated-gigaword/)
35. [**Evaluating Topic Coherence Using Distributional Semantics**Nikolaos Aletras, Mark Stevenson*2013 · 63 citations*](https://md.research.elamur.ai/free/en/papers/aletras-2013-evaluating-topic-coherence-distributional-semantics/)
36. [**Learning Connective-based Word Representations for Implicit Discourse Relation Identification**Chloé Braud, Pascal Denis*2016 · 56 citations*](https://md.research.elamur.ai/free/en/papers/braud-2016-learning-connective-based-word-representations/)
37. [**Semantic differences in translation: Exploring the field of inchoativity**Lore Vandevoorde*2020 · 11 citations*](https://md.research.elamur.ai/free/en/papers/vandevoorde-2020-semantic-differences-translation-exploring/)
38. [**Probabilistic Modelling of Morphologically Rich Languages**Jan A. Botha*2015 · 4 citations*](https://md.research.elamur.ai/free/en/papers/botha-2015-probabilistic-modelling-morphologically-rich-languages/)
39. [**A Subword Embedding Approach for Variation Detection in Luxembourgish User Comments**Anne-Marie Lutgen, Alistair Plum, Christoph Purschke*2026*](https://md.research.elamur.ai/free/en/papers/lutgen-2026-subword-embedding-approach-variation-detection/)
40. [**The semantic transparency of English compound nouns**Martin Schäfer*2018*](https://md.research.elamur.ai/free/en/papers/schafer-2018-semantic-transparency-english-compound/)

514 more papers of our library cite it; they have no page here yet.

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