Semantic Composition
20 papers with code • 0 benchmarks • 2 datasets
Understanding the meaning of text by composing the meanings of the individual words in the text (Source: https://arxiv.org/pdf/1405.7908.pdf)
Benchmarks
These leaderboards are used to track progress in Semantic Composition
Polish CDSCorpus
Latest papers with no code
Image Synthesis via Semantic Composition
In this paper, we present a novel approach to synthesize realistic images based on their semantic layouts.
A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking
Our method consists of two modules, KG-based learning enhancement and multi-claim semantic composition.
Quantum Mathematics in Artificial Intelligence
In the decade since 2010, successes in artificial intelligence have been at the forefront of computer science and technology, and vector space models have solidified a position at the forefront of artificial intelligence.
A Survey on Semantic Parsing from the perspective of Compositionality
In section 3 we will consider systems that uses formal languages e. g. $\lambda$-calculus (Steedman, 1996), $\lambda$-DCS (Liang, 2013).
Bridging the Knowledge Gap: Enhancing Question Answering with World and Domain Knowledge
In this paper we present OSCAR (Ontology-based Semantic Composition Augmented Regularization), a method for injecting task-agnostic knowledge from an Ontology or knowledge graph into a neural network during pretraining.
Modeling Affirmative and Negated Action Processing in the Brain with Lexical and Compositional Semantic Models
Recent work shows that distributional semantic models can be used to decode patterns of brain activity associated with individual words and sentence meanings.
Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition
Finally, we present benchmark experiments on using the relatedness dataset as a testbed to evaluate simple unsupervised measures of semantic composition.
Towards a Compositional Analysis of German Light Verb Constructions (LVCs) Combining Lexicalized Tree Adjoining Grammar (LTAG) with Frame Semantics
Complex predicates formed of a semantically {`}light{'} verbal head and a noun or verb which contributes the major part of the meaning are frequently referred to as {`}light verb constructions{'} (LVCs).
No Word is an Island---A Transformation Weighting Model for Semantic Composition
Composition models of distributional semantics are used to construct phrase representations from the representations of their words.
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets
Recognizing and linking such fine-grained location mentions to well-defined location profiles are beneficial for retrieval and recommendation systems.
