Entity linking systems link noun-phrase mentions in text to their corresponding Wikipedia
articles. However, NLP applications would gain from the ability to detect and type all entities …

Abstract Machine learning has facilitated many recent advances in natural language
processing and information extraction. Unfortunately, most machine learning methods rely …

The amount of information available on the Web has been increasing daily. However, how
one might know what is right or wrong? Does the Web itself can be used as a source for …

In this paper, we present our solution and experimental results of the application of semi-
supervised machine learning techniques and the improvement of SVM algorithm to build text …

An alternative to the traditional single function approximation method is the never-ending
learning (NEL) approach ie, a learning paradigm in which, the learner, in an autonomous …

This paper describes the development of an infant-directed speech discrimination system for
parent–infant interaction analysis. Different feature sets for emotion recognition were …

The project and implementation of autonomous computational systems that incrementally
learn and use what has been learnt to, continually, refine its learning abilities throughout …

Abstract Conditional Random Fields (CRFs)[Lafferty et al., 2001] can offer computational
and statistical advantages over generative models, yet traditional CRF parameter and …

This paper presents the results of our research on text classification which the proposed
model is a combination of text summarization technique and semi-supervised learning …

The increase of the amount of data represented as a graph, like complex networks,
motivated the creation of a new research area called graph mining. This work proposes a …