Computational Linguistics

6.

Computational Semantics

6.1.

Meaning Representation

6.1.1.

Logical Approaches

6.1.1.1.

First-Order Logic

6.1.1.2.

Lambda Calculus

6.1.1.3.

Discourse Representation Theory

6.1.1.4.

Situation Semantics

6.1.2.

Structured Representations

6.1.2.1.

Semantic Networks

6.1.2.2.

Frame Semantics

6.1.2.3.

Conceptual Graphs

6.1.2.4.

Abstract Meaning Representation

6.1.3.

Distributional Approaches

6.1.3.1.

Vector Space Models

6.1.3.2.

Latent Semantic Analysis

6.1.3.3.

6.1.3.4.

Neural Embeddings

6.2.

Lexical Semantics

6.2.1.

Word Meaning and Sense

6.2.1.1.

Polysemy and Homonymy

6.2.1.2.

Sense Relations

6.2.1.3.

Prototype and Exemplar Theories

6.2.2.

Word Sense Disambiguation

6.2.2.1.

Knowledge-Based Approaches

6.2.2.2.

Supervised Learning Methods

6.2.2.3.

Unsupervised Clustering

6.2.2.4.

Graph-Based Methods

6.2.3.

Lexical Relations

6.2.3.1.

Synonymy and Antonymy

6.2.3.2.

Hyponymy and Hypernymy

6.2.3.3.

Meronymy and Holonymy

6.2.3.4.

Semantic Fields

6.2.4.

Lexical Resources

6.2.4.1.

WordNet Structure and Relations

6.2.4.2.

FrameNet Frames and Elements

6.2.4.3.

VerbNet Classes and Roles

6.2.4.4.

PropBank Annotations

6.3.

Compositional Semantics

6.3.1.

Principle of Compositionality

6.3.1.1.

Function-Argument Structure

6.3.1.2.

Type-Driven Composition

6.3.1.3.

Montague Grammar

6.3.2.

Semantic Role Labeling

6.3.2.1.

Argument Structure

6.3.2.2.

6.3.2.3.

PropBank and FrameNet Approaches

6.3.2.4.

Neural SRL Models

6.3.3.

Quantification and Scope

6.3.3.1.

Quantifier Scope Ambiguity

6.3.3.2.

Generalized Quantifiers

6.3.3.3.

Computational Treatment

6.3.4.

Temporal and Aspectual Semantics

6.3.4.1.

Tense and Aspect

6.3.4.2.

Event Structure

6.3.4.3.

6.4.

Distributional Semantics

6.4.1.

Distributional Hypothesis

6.4.1.1.

Harris's Hypothesis

6.4.1.2.

Contextual Similarity

6.4.1.3.

Semantic Spaces

6.4.2.

Count-Based Models

6.4.2.1.

Co-occurrence Matrices

6.4.2.2.

Pointwise Mutual Information

6.4.2.3.

Singular Value Decomposition

6.4.3.

Predictive Models

6.4.3.1.

Word2Vec Models

6.4.3.2.

6.4.3.3.

6.4.4.

Contextualized Embeddings

6.4.4.1.

6.4.4.2.

BERT and Variants

6.4.4.3.

6.4.4.4.

Evaluation and Probing

6.5.

Semantic Parsing

6.5.1.

Mapping to Logical Forms

6.5.1.1.

Semantic Grammars

6.5.1.2.

Synchronous Grammars

6.5.1.3.

Neural Semantic Parsing

6.5.2.

Knowledge Base Question Answering

6.5.2.1.

6.5.2.2.

Relation Extraction

6.5.2.3.

Logical Form Execution

6.5.3.

Executable Semantic Parsing

6.5.3.1.

Programming Languages as Targets

6.5.3.2.

Code Generation

6.5.3.3.

Execution and Verification

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7. Pragmatics and Discourse