Learning the Latent Semantics of a Concept from its Definition

In this paper we study unsupervised word sense disambiguation (WSD) based on sense definition. We learn low-dimensional latent semantic vectors of concept definitions to construct a more robust sense similarity measure wmfvec. Experiments on four all-words WSD data sets show significant improvement over the baseline WSD systems and LDA based similarity measures, achieving results comparable to state of the art WSD systems

Combining Orthogonal Monolingual and Multilingual Sources of Evidence for All Words WSD

Word Sense Disambiguation remains one of the most complex problems facing computational linguists to date. In this paper we present a system that combines evidence from a monolingual WSD system together with that from a multilingual WSD system to yield state of the art performance on standard All-Words data sets. The monolingual system is based on a modification of the graph based state of the art algorithm In-Degree. The multilingual system is an improvement over an AllWords unsupervised approach, SALAAM. SALAAM exploits multilingual evidence as a means of disambiguation. In this paper, we present modifications to both of the original approaches and then their combination. We finally report the highest results obtained to date on the SENSEVAL 2 standard data set using an unsupervised method, we achieve an overall F measure of 64.58 using a voting scheme

Semantic Topic Models: Combining Word Distributional Statistics and Dictionary Definitions

In this paper, we propose a novel topic model based on incorporating dictionary definitions. Traditional topic models treat words as surface strings without assuming predefined knowledge about word meaning. They infer topics only by observing surface word co-occurrence. However, the co-occurred words may not be semantically related in a manner that is relevant for topic coherence. Exploiting dictionary definitions explicitly in our model yields a better understanding of word semantics leading to better text modeling. We exploit WordNet as a lexical resource for sense definitions. We show that explicitly modeling word definitions helps improve performance significantly over the baseline for a text categorization task

Digital Music Copyright Protection Dilemma: a Discussion on Draft Amendments of China’s Copyright Law

On March 31,2012, China’s National Copyright Administration of the People’s Republic of China (NCAC) published the Draft Amendment to the Copyright Law at its website to seek public feedback. Some articles in the current Draft Amendments, such as Articles 46 and 48, have attracted the most attention from the public, especially the music industry, because they involve unauthorized use of copyrighted material. Some musician indicated that “the draft clearly favored Internet.” This paper wants to discuss those controversial articles under the Draft Amendments and some other solution except legislation for musicians to face digital era with an aim to make a healthy development of digital music sector in China

Atomistic pseudopotential calculations of the optical properties of InAs/InP self-assembled quantum dots

We present a comprehensive study of the optical properties of InAs/InP self-assembled quantum dots (QDs) using an empirical pseudopotential method and configuration interaction treatment of the many-particle effects. The results are compared to those of InAs/GaAs QDs. The main results are: (i) The alignment of emission lines of neutral exciton, charged exciton and biexciton in InAs/InP QDs is quite different from that in InAs/GaAs QDs. (ii) The hidden correlation in InAs/InP QDs is 0.7 - 0.9 meV, smaller than that in InAs/GaAs QDs. (iii) The radiative lifetimes of neutral exciton, charged exciton and biexciton in InAs/InP QDs are about twice longer than those in InAs/GaAs QDs. (v) The phase diagrams of few electrons and holes in InAs/InP QDs differ greatly from those in InAs/GaAs QDs. The filling orders of electrons and holes are shown to obey the Hund's rule and Aufbau principle, and therefore the photoluminescence spectra of highly charged excitons are very different from those of InAs/GaAs QDs.Comment: 10 pages, 11 figure

Advantages of a miniature pig model in research on human hereditary hearing loss

AbstractIn medical laboratory animals, the pig is the closest species to human in evolution, except for primates. As an animal model, the pig is highly concerned by many scientists, including comparative biology, developmental biology, medical genetics. Rodents as animal model for human hearing defects has are poor producibility and reliability, due to differences in anatomical structure, evolutionary rate and metabolic rate, but these happens to be the advantages of the pig model. In this paper, we will summarize the application of miniature pig in the study of human hereditary deafness