Semantic parsing is the task of converting a natural language utterance to a logical form: a machine-understandable representation of its meaning. Semantic...

resulting in a parse tree showing their syntactic relation to each other, which may also contain semantic information.[citation needed] Some parsing algorithms...

natural language processing applications such as semantic parsing and word-sense disambiguation. Semantic networks can also be used as a method to analyze...

In natural language processing, semantic role labeling (also called shallow semantic parsing or slot-filling) is the process that assigns labels to words...

of potential parses (most of which will seem completely nonsensical to a human). There are two primary types of parsing: dependency parsing and constituency...

Semantic analysis or context sensitive analysis is a process in compiler construction, usually after parsing, to gather necessary semantic information...

A semantic wiki is a wiki that has an underlying model of the knowledge described in its pages. Regular, or syntactic, wikis have structured text and untyped...

part-of-speech tagging and parsing, and that corpus-driven approaches had the potential to revolutionize automatic semantic analysis as well. Kilgarriff...

compilation stage to abstract syntax tree construction via parsing. An abstract semantic graph is typically constructed from an abstract syntax tree...

Semantic memory refers to general world knowledge that humans have accumulated throughout their lives. This general knowledge (word meanings, concepts...

Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between...

standard inductive and transductive settings. Some methods for shallow semantic parsing are based on support vector machines. Classification of images can...

of business process management Prediction in medical care pathways Semantic parsing Object co-segmentation Airport passenger management Short-term traffic...

In linguistics, semantic analysis is the process of relating syntactic structures, from the levels of words, phrases, clauses, sentences and paragraphs...

descent parsing strategy that facilitates modular piecewise construction and testing. This parsing technique is called combinatory parsing. Parsers using...

recursion semantics Natural-language understanding Semantic compression Semantic parsing Semantic Web SemEval WordNet Blackburn, P., and Bos, J. (2005)...

for Semantic Parsing". arXiv:1404.7296 [cs.CL]. Mesnil, Gregoire; Deng, Li; Gao, Jianfeng; He, Xiaodong; Shen, Yelong (April 2014). "Learning Semantic Representations...

The Semantic Web, sometimes known as Web 3.0 (not to be confused with Web3), is an extension of the World Wide Web through standards set by the World Wide...

Semantic matching is a technique used in computer science to identify information which is semantically related. Given any two graph-like structures,...

language generated by this grammar. Comparison of parser generators Parse tree Top-down parsing Bottom-up parsing Rosenkrantz, D. J.; Stearns, R. E. (1970)....

of lexicology. Since lexicology studies the meaning of words and their semantic relations, it often explores the history and development of a word. Etymologists...

Shallow parsing (also chunking or light parsing) is an analysis of a sentence which first identifies constituent parts of sentences (nouns, verbs, adjectives...

ISBN 0-8058-2166-X Wong, Yuk Wah, and Raymond J. Mooney. "Learning for semantic parsing with statistical machine translation." Proceedings of the main conference...

Toolkit provide considerable support for more difficult post-parsing activities such as semantic analysis, code optimization and generation. The earliest...

of correctness, equivalence, and termination". Floyd further wrote: A semantic definition of a programming language, in our approach, is founded on a...

referred to as "semantic annotation"): Semantic parsing aims a complete, machine-readable representation of natural language, whereas semantic annotation in...

In machine learning, semantic analysis of a corpus is the task of building structures that approximate concepts from a large set of documents. It generally...

and Yong Rui (2015). Automatically Solving Number Word Problems by Semantic Parsing and Reasoning. Proceedings of the 2015 Conference on Empirical Methods...

completely in C++. Parser objects are composed through operator overloading and the result is a backtracking LL(∞) parser that is capable of parsing rather ambiguous...

into meaning components called semantic features. The word horse has the semantic feature animate but lacks the semantic feature human. It may not always...