Everything about Distributional semantics

🧭 Start here: a 6-step reading path

1. Read the overview: Distributional semanticsA 5-minute orientation
2. Skim a recent paper: Estimating urban functional distributions with semantics preserved POI embeddingInfluential work since 2022
3. Pick up a classic book: Multi-agent systemsThe most-reprinted book on the subject
4. Read the landmark paper: Composition in Distributional Models of SemanticsCited 431 times
5. Go sideways: Statistical semanticsA closely related topic
6. Go sideways: Semantic foldingA closely related topic

🏆 Landmark papers (most cited)

• Composition in Distributional Models of Semantics

  Jeff Mitchell, Mirella Lapata · 2010 · Cognitive Science · 431 citations

• Multimodal Distributional Semantics

  E. Bruni, N. K. Tran, M. Baroni · 2014 · Journal of Artificial Intelligence Research · 350 citations

• Distributional Memory: A General Framework for Corpus-Based Semantics

  Marco Baroni, Alessandro Lenci · 2010 · Computational Linguistics · 256 citations

• Distributional Semantics and Linguistic Theory

  Gemma Boleda · 2020 · Annual Review of Linguistics · 196 citations

• Empirical distributional semantics: Methods and biomedical applications

  Trevor Cohen, Dominic Widdows · 2009 · Journal of Biomedical Informatics · 113 citations

• Enhancing clinical concept extraction with distributional semantics

  Siddhartha Jonnalagadda, Trevor Cohen, Stephen Wu · 2012 · Journal of Biomedical Informatics · 80 citations

• Frege in Space: A Program for Compositional Distributional Semantics

  Marco Baroni, Raffaella Bernardi, Roberto Zamparelli · 2014 · Linguistic Issues in Language Technology · 71 citations

• Distributional semantics as a source of visual knowledge

  Molly Lewis, Martin Zettersten, Gary Lupyan · 2019 · Proceedings of the National Academy of Sciences · 49 citations

🆕 Influential since 2022

• Estimating urban functional distributions with semantics preserved POI embedding

  Weiming Huang, Lizhen Cui, Meng Chen · 2022 · International Journal of Geographical Information Science · 111 citations

• Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics

  Yahao Ding, Zhaohui Yang, Quoc-Viet Pham · 2024 · IEEE Internet of Things Journal · 103 citations

• A comparative evaluation and analysis of three generations of Distributional Semantic Models

  Alessandro Lenci, Magnus Sahlgren, Patrick Jeuniaux · 2022 · Language Resources and Evaluation · 68 citations

• Distributed Sensitivity to Syntax and Semantics throughout the Language Network

  Cory Shain, Hope Kean, Colton Casto · 2024 · Journal of Cognitive Neuroscience · 66 citations

• Divergent semantic integration (DSI): Extracting creativity from narratives with distributional semantic modeling

  Dan R. Johnson, James C. Kaufman, Brendan S. Baker · 2022 · Behavior Research Methods · 65 citations

📚 Books worth reading

• Multi-agent systemsAdelinde M. Uhrmacher, Danny Weyns · 2009
• Probabilistic Reasoning in Multiagent SystemsYang Xiang · 2002
• Epistemology and ProbabilityArkady Plotnitsky · 2008
• Optimized Cloud Based SchedulingRong Kun Jason Tan, John A. Leong · 2018
• Explorer's guide to the Semantic WebThomas B. Passin · 2004
• Declarative systemsIFIP TC 10/WG 10.1 Workshop on Concepts and Characteristics of Declarative Systems (1988 Budapest, Hungary), G. David · 1990
• Web information systems - WISE 2004Xiaofang Zhou, Maria E. Orlowska · 2004
• Swarm intelligenceKennedy, James · 2001

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics

• Statistical semantics In linguistics, statistical semantics applies the methods of statistics to the problem of determining the meaning of words or phrases, ideally through…
• Semantic folding Semantic folding theory describes a procedure for encoding the semantics of natural language text in a semantically grounded binary representation. This…
• Word embedding In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis. Typically, the representation is…
• Semantic similarity Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between items is based on the likeness of their meaning…
• Random indexing Random indexing is a dimensionality reduction method and computational framework for distributional semantics, based on the insight that very-high-dimensional…
• Semantic space Semantic spaces in the natural language domain aim to create representations of natural language that are capable of capturing meaning. The original motivation…
• Latent semantic analysis Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between…
• Word-sense induction In computational linguistics, word-sense induction (WSI) or discrimination is an open problem of natural language processing, which concerns the automatic…