Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 232,175,173 papers from all fields of science
Search
Sign In
Create Free Account
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…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
8 relations
Latent Dirichlet allocation
Latent semantic analysis
Linear algebra
Markov chain
Expand
Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Textual Question Answering for Semantic Parsing in Natural Language Processing
Jaydeb Sarker
,
M. Billah
,
Md. Al Mamun
1st International Conference on Advances in…
2019
Corpus ID: 209457543
Question answering (QA) problem is one of the most frequent tasks in natural language processing (NLP) over language input. To…
Expand
2017
2017
Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks?
Kang Liu
,
Jun Zhao
,
Shizhu He
,
Shangmin Guo
,
Xiangrong Zeng
Conference of the European Chapter of the…
2017
Corpus ID: 4025123
As one of the most important test of China, Gaokao is designed to be difficult enough to distinguish the excellent high school…
Expand
2017
2017
ModelWriter: Text and model-synchronized document engineering platform
Ferhat Erata
,
Claire Gardent
,
+5 authors
A. Monceaux
International Conference on Automated Software…
2017
Corpus ID: 4664214
The ModelWriter platform provides a generic framework for automated traceability analysis. In this paper, we demonstrate how this…
Expand
2016
2016
Deeper syntax for better semantic parsing
Olivier Michalon
,
Corentin Ribeyre
,
Marie Candito
,
Alexis Nasr
International Conference on Computational…
2016
Corpus ID: 6455915
Syntax plays an important role in the task of predicting the semantic structure of a sentence. But syntactic phenomena such as…
Expand
2015
2015
Visual Commonsense for Scene Understanding Using Perception, Semantic Parsing and Reasoning
Somak Aditya
,
Yezhou Yang
,
Chitta Baral
,
C. Fermüller
,
Y. Aloimonos
AAAI Spring Symposia
2015
Corpus ID: 2265260
In this paper we explore the use of visual commonsense knowledge and other kinds of knowledge (such as domain knowledge…
Expand
2015
2015
Application of Neural Networks in the Semantic Parsing Re-Ranking Problem
R. Long
2015
Corpus ID: 6566587
Automatic program generation allows end-users to benefit from greatly from increased productivity. However, general Natural…
Expand
2014
2014
Disambiguating Verbs by Collocation: Corpus Lexicography meets Natural Language Processing
Ismaïl El Maarouf
,
Jane Bradbury
,
V. Baisa
,
Patrick Hanks
International Conference on Language Resources…
2014
Corpus ID: 15322912
This paper reports the results of Natural Language Processing (NLP) experiments in semantic parsing, based on a new semantic…
Expand
2012
2012
Semantic Understanding of Professional Soccer Commentaries
Hannaneh Hajishirzi
,
Mohammad Rastegari
,
Ali Farhadi
,
J. Hodgins
Conference on Uncertainty in Artificial…
2012
Corpus ID: 971065
This paper presents a novel approach to the problem of semantic parsing via learning the correspondences between complex…
Expand
2012
2012
Extracting design information from natural language specifications
I. Harris
DAC Design Automation Conference
2012
Corpus ID: 16002183
Natural language specifications are the first concrete behavioral description which is the basis for any manually generated…
Expand
2010
2010
Ontology Based Fuzzy Document Clustering Scheme
M. Thangamani
,
P. Thangaraj
2010
Corpus ID: 44115164
Document clustering is the technique used to group up the document with the reference to the similarity. It is widely used in web…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE