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Semantic Composition

Understanding the meaning of text by composing the meanings of the individual words in the text (Source: https://arxiv.org/pdf/1405.7908.pdf)

Papers

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Showing 51–100 of 110 papers

TitleStatusHype
Semantic Composition via Probabilistic Model Theory—0
Sense Contextualization in a Dependency-Based Compositional Distributional Model—0
Deep Learning for Semantic Composition—0
Polish evaluation dataset for compositional distributional semantics models—0
Improving Semantic Composition with Offset InferenceCode0
Argument Structure and Referent Systems—0
Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation ExtractionCode0
Semantic Relation Classification via Hierarchical Recurrent Neural Network with Attention—0
Semantic Compositional Networks for Visual CaptioningCode0
Improving Sparse Word Representations with Distributional Inference for Semantic CompositionCode0
On the Correspondence between Compositional Matrix-Space Models of Language and Weighted Automata—0
Continuation semantics for multi-quantifier sentences: operation-based approaches—0
DTSim at SemEval-2016 Task 1: Semantic Similarity Model Including Multi-Level Alignment and Vector-Based Compositional Semantics—0
VENSESEVAL at Semeval-2016 Task 2 iSTS - with a full-fledged rule-based approach—0
Inferring Psycholinguistic Properties of Words—0
DAG-Structured Long Short-Term Memory for Semantic Compositionality—0
A Semantically Compositional Annotation Scheme for Time NormalizationCode0
Learning Semantic Composition to Detect Non-compositionality of Multiword Expressions—0
Sentence Modeling with Gated Recursive Neural Network—0
The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization—0
Higher-order logical inference with compositional semanticsCode0
Learning Salient Samples and Distributed Representations for Topic-Based Chinese Message Polarity Classification—0
Semantic Clustering and Convolutional Neural Network for Short Text Categorization—0
Fusion of Compositional Network-based and Lexical Function Distributional Semantic Models—0
Neural Networks for Integrating Compositional and Non-compositional Sentiment in Sentiment Composition—0
Modeling Relation Paths for Representation Learning of Knowledge BasesCode0
A Compositional and Interpretable Semantic Space—0
Long Short-Term Memory Over Tree Structures—0
Finding The Best Model Among Representative Compositional Models—0
A Semantics for Honorifics with Reference to Thai—0
Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures—0
Coloring Objects: Adjective-Noun Visual Semantic Compositionality—0
Experiments with Easy-first nonprojective constituent parsing—0
A practical and linguistically-motivated approach to compositional distributional semantics—0
Vector space semantics with frequency-driven motifs—0
New Directions in Vector Space Models of Meaning—0
Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification—0
Strategies for Contiguous Multiword Expression Analysis and Dependency Parsing—0
Semantic Composition and Decomposition: From Recognition to Generation—0
Optimizing a Distributional Semantic Model for the Prediction of German Particle Verb Compositionality—0
A Systematic Study of Semantic Vector Space Model Parameters—0
Distributional Composition using Higher-Order Dependency Vectors—0
The Complexity of Math Problems -- Linguistic, or Computational?—0
Fish Transporters and Miracle Homes: How Compositional Distributional Semantics can Help NP Parsing—0
Domain and Function: A Dual-Space Model of Semantic Relations and CompositionsCode1
Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models—0
Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition—0
The Role of Syntax in Vector Space Models of Compositional Semantics—0
Improving Word Translation Disambiguation by Capturing Multiword Expressions with Dictionaries—0
Intensionality was only alleged: On adjective-noun composition in distributional semantics—0
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