Machine learning (ML) has been well applied to studying equilibrium phase transition models, by accurately predicating critical thresholds and some exponents. Difficulty will be raised, however, for integrating ML into non-equilibrium transitions. The extra dimension in a given system, namely time, can greatly slow down the procedure towards steady state. In this paper we find that using simple...

This paper investigates the utility of an unsupervised partof-speech (PoS) system in a task oriented way. We use PoS labels as features for different supervised NLP tasks: Word Sense Disambiguation, Named Entity Recognition and Chunking. Further we explore, how much supervised tagging can gain from unsupervised tagging. A comparative evaluation between variants of systems using standard PoS, un...

Data-driven machine learning (DDML) methods for the fault diagnosis and detection (FDD) in nuclear power plant (NPP) are of emerging interest recent years. However, there still lacks research on comprehensive reviewing state-of-the-art progress DDML FDD NPP. In this review, classifications, principles, characteristics firstly introduced, which include supervised type, unsupervised so on. Then, ...

In this paper, we address the role of syntactic parsing for distributional similarity. On the one hand, we are exploring distributional similarities as an extrinsic test bed for unsupervised parsers. On the other hand, we explore whether single unsupervised parsers, or their combination, can contribute to better distributional similarities, or even replace supervised parsing as a preprocessing ...

This work combines a set of available techniques {which could be further extended{ to perform noun sense disambiguation. We use several unsupervised techniques (Rigau et al., 1997) that draw knowledge from a variety of sources. In addition, we also apply a supervised technique, in order to show that supervised and unsupervised methods can be combined to obtain better results. This paper tries t...

Text classification is a prominent research area, gaining more interest in academia, industry and social media. Arabic one of the world’s most famous languages it had significant role science, mathematics philosophy Europe middle ages. During Arab Spring, media, that is, Facebook, Twitter Instagram, played an essential establishing, running, spreading these movements. Sentiment Analysis (ASA) C...

In this paper we investigate techniques for semi-supervised learning that split their unsupervised and supervised components — that is, an initial unsupervised phase is followed by a supervised learning phase. We first analyze the relative value of labeled and unlabeled data. We then present methods that perform “split” semi-supervised learning and show promising empirical results.