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…

Papers overview

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2019

Question answering (QA) problem is one of the most frequent tasks in natural language processing (NLP) over language input. To…

2017

As one of the most important test of China, Gaokao is designed to be difficult enough to distinguish the excellent high school…

2015

In this paper we explore the use of visual commonsense knowledge and other kinds of knowledge (such as domain knowledge…

2015

In this paper, we present a model for improved discriminative semantic parsing. The model addresses an important limitation…

2014

This paper reports the results of Natural Language Processing (NLP) experiments in semantic parsing, based on a new semantic…

2014

We consider multilingual semantic parsing ‐ the task of simultaneously parsing semantically equivalent sentences from multiple…

2012

Natural language specifications are the first concrete behavioral description which is the basis for any manually generated…

2012

This paper presents a novel approach to the problem of semantic parsing via learning the correspondences between complex…

2010

Document clustering is the technique used to group up the document with the reference to the similarity. It is widely used in web…

2008

We present a novel fine-grained semantic representation of text and an approach to constructing it. This representation is…