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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
The Role of Syntax in Vector Space Models of Compositional Semantics—0
Towards a Compositional Analysis of German Light Verb Constructions (LVCs) Combining Lexicalized Tree Adjoining Grammar (LTAG) with Frame Semantics—0
TRANSRW at SemEval-2018 Task 12: Transforming Semantic Representations for Argument Reasoning Comprehension—0
Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models—0
Vector space semantics with frequency-driven motifs—0
VENSESEVAL at Semeval-2016 Task 2 iSTS - with a full-fledged rule-based approach—0
Accurate SHRG-Based Semantic Parsing—0
Fusion of Compositional Network-based and Lexical Function Distributional Semantic Models—0
Image Synthesis via Semantic Composition—0
Improving Word Translation Disambiguation by Capturing Multiword Expressions with Dictionaries—0
Inferring Psycholinguistic Properties of Words—0
Intensionality was only alleged: On adjective-noun composition in distributional semantics—0
Inter-Weighted Alignment Network for Sentence Pair Modeling—0
IP-Composer: Semantic Composition of Visual Concepts—0
基于图神经网络的汉语依存分析和语义组合计算联合模型(Joint Learning Chinese Dependency Parsing and Semantic Composition based on Graph Neural Network)—0
Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures—0
Learning Compositional Semantics for Open Domain Semantic Parsing—0
Learning Salient Samples and Distributed Representations for Topic-Based Chinese Message Polarity Classification—0
Learning Semantic Composition to Detect Non-compositionality of Multiword Expressions—0
Learning to Compose over Tree Structures via POS Tags—0
Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness—0
Leveraging study of robustness and portability of spoken language understanding systems across languages and domains: the PORTMEDIA corpora—0
联合依存分析的汉语语义组合模型(Chinese Semantic Composition Model with Dependency Parsing)—0
Long Short-Term Memory Over Tree Structures—0
Meta Multi-Task Learning for Sequence Modeling—0
MixSyn: Learning Composition and Style for Multi-Source Image Synthesis—0
Modeling Affirmative and Negated Action Processing in the Brain with Lexical and Compositional Semantic Models—0
Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering—0
Multimodal Grammar Implementation—0
Neural Networks for Integrating Compositional and Non-compositional Sentiment in Sentiment Composition—0
New Directions in Vector Space Models of Meaning—0
No Word is an Island---A Transformation Weighting Model for Semantic Composition—0
On the Correspondence between Compositional Matrix-Space Models of Language and Weighted Automata—0
Optimizing a Distributional Semantic Model for the Prediction of German Particle Verb Compositionality—0
Polish evaluation dataset for compositional distributional semantics models—0
Quantifying Context Overlap for Training Word Embeddings—0
Quantum Mathematics in Artificial Intelligence—0
Search Space Properties for Learning a Class of Constraint-based Grammars—0
Semantic Clustering and Convolutional Neural Network for Short Text Categorization—0
Semantic Compositionality through Recursive Matrix-Vector Spaces—0
Semantic Composition and Decomposition: From Recognition to Generation—0
Semantic Composition in Visually Grounded Language Models—0
Semantic Composition via Probabilistic Model Theory—0
From Characters to Time Intervals: New Paradigms for Evaluation and Neural Parsing of Time NormalizationsCode0
A Survey on Deep Learning for Named Entity RecognitionCode0
Higher-order logical inference with compositional semanticsCode0
A Semantically Compositional Annotation Scheme for Time NormalizationCode0
Improving Semantic Composition with Offset InferenceCode0
Improving Sparse Word Representations with Distributional Inference for Semantic CompositionCode0
Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional SemanticsCode0
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