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Everything about Statistical semantics
Subfield of computational linguistics
In linguistics, statistical semantics applies the methods of statistics to the problem of determining the meaning of words or phrases, ideally through unsupervised learning, to a degree of precision at least sufficient for the purpose of information retrieval. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Statistical semanticsA 5-minute orientation
- Skim a recent paper: Statistical learning of orthography-semantics regularities: A developmental neurophysiological studyInfluential work since 2022
- Pick up a classic book: Information Processing and Management of Uncertainty in Knowledge-Based SystemsThe most-reprinted book on the subject
- Read the landmark paper: Repeated measures analysis of contests and other dyadic interactions: problems of semantics, not statistical validityCited 55 times
- Go sideways: Distributional semanticsA closely related topic
- Go sideways: Sentence embeddingA closely related topic
📖 Definitions
Noun The study of estimation of the meanings of words by looking at patterns of words in huge collections of texts, using statistical methods.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Repeated measures analysis of contests and other dyadic interactions: problems of semantics, not statistical validity
A statistical semantics for causation
Statistical semantics for enhancing document clustering
Theory-Driven Statistical Modeling for Semantics and Pragmatics: A Case Study on Grammatically Generated Implicature Readings
Statistical machine translation based on weighted syntax–semantics
A Deep Web Entity Identification Mechanism Based on Semantics and Statistical Analysis
Misuse of semantics and basic statistical terms in original articles
A first-order conditional logic with qualitative statistical semantics
🆕 Influential since 2022
Statistical learning of orthography-semantics regularities: A developmental neurophysiological study
Hybrid neural machine translation with statistical and rule based approach for syntactics and semantics between Tolaki-Indonesian-English languages
Semantics vs. sense-making: Approaching WikiLeaks Afghanistan War Logs data with statistical and qualitative methods
Hybrid neural machine translation with statistical and rule-based approach for syntactics and semantics between Tolaki-Indonesian-English languages
📚 Books worth reading
Information Processing and Management of Uncertainty in Knowledge-Based SystemsJoao Paulo Carvalho, Marie-Jeanne Lesot · 2016- 📕Social Networks with Rich Edge SemanticsQuan Zheng · 2017
The Elements of Statistical LearningTrevor Hastie, Robert Tibshirani · 2001
Representation and processing of spatial expressionsPatrick Olivier, Klaus-Peter Gapp · 1998
Statistical learning and data scienceMireille Gettler Summa · 2011
Musical HapticsStefano Papetti, Charalampos Saitis · 2018
Collaborative Information SeekingChirag Shah · 2012
An Introduction to Statistical LearningGareth James · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Distributional semantics Distributional semantics is a research area that develops and studies theories and methods for quantifying and categorizing semantic similarities between…
- Sentence embedding In natural language processing, a sentence embedding (or document embedding) is a representation of a natural language text as a vector of numbers which…
- 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…
- 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…
- Textual entailment In natural language processing, textual entailment (TE), also known as natural language inference (NLI), is a directional relation between text fragments…
- Semantic parsing Semantic parsing is the task of converting a natural language utterance to a logical form: a machine-understandable representation of its meaning. Semantic…
- Word-sense disambiguation Word-sense disambiguation, or simply disambiguation, is the process of identifying which sense of a word is meant in a sentence or other segment of context…
- Word-sense induction In computational linguistics, word-sense induction (WSI) or discrimination is an open problem of natural language processing, which concerns the automatic…