Semantic analysis (machine learning)

Known as: Semantic analysis, Semantic analysis (informatics) 
In machine learning, semantic analysis of a corpus is the task of building structures that approximate concepts from a large set of documents. It… (More)
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Latent Dirichlet allocationLatent semantic analysisLinear algebraMarkov chain
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Machine learning

Papers overview

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2016
2016
Learning executable semantic parsers for natural language understanding
Semantic parsing is a rich fusion of the logical and the statistical worlds. 
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2015
2015
Bringing Machine Learning and Compositional Semantics Together
Computational semantics has long been seen as a field divided between logical and statistical approaches, but this divide is… (More)
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Highly Cited
2013
Highly Cited
2013
Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions
The context in which language is used provides a strong signal for learning to recover its meaning. In this paper, we show it can… (More)
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Highly Cited
2013
Highly Cited
2013
Scaling Semantic Parsers with On-the-Fly Ontology Matching
We consider the challenge of learning semantic parsers that scale to large, open-domain problems, such as question answering with… (More)
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2011
2011
Fast text categorization using concise semantic analysis
0167-8655/$ see front matter 2010 Elsevier B.V. A doi:10.1016/j.patrec.2010.11.001 ⇑ Corresponding author. Tel.: +86 013512356255… (More)
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Highly Cited
2010
Highly Cited
2010
Driving Semantic Parsing from the World's Response
Current approaches to semantic parsing, the task of converting text to a formal meaning representation, rely on annotated… (More)
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Highly Cited
2006
Highly Cited
2006
Learning for Semantic Parsing with Statistical Machine Translation
We present a novel statistical approach to semantic parsing, WASP, for constructing a complete, formal meaning representation of… (More)
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Highly Cited
2005
Highly Cited
2005
Early versus late fusion in semantic video analysis
Semantic analysis of multimodal video aims to index segments of interest at a conceptual level. In reaching this goal, it… (More)
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2004
2004
Shallow Semantc Parsing of Chinese
In this paper we address the question of assigning semantic roles to sentences in Chinese. We show that good semantic parsing… (More)
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1997
1997
Corpus-Based Approaches to Semantic Interpretation in Natural Language Processing
into empirical, corpus-based learning approaches to natural language processing (NLP). Most empirical NLP work to date has… (More)
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