We linked names and contact information to publicly available profiles in the Personal Genome Project. These profiles contain medical and genomic information, including details about medications, procedures and diseases, and demographic information, such as date of birth, gender, and postal code. By linking demographics to public records such as voter lists, and mining for names hidden in attac...

A personal synopsis of the decisions made at the Nomenclature Section meeting of the International Botanical Congress in Melbourne in July 2011 is provided, with an emphasis on those which will affect the working practices of, or will otherwise be of interest to, mycologists. The topics covered include the re-naming of the Code, the acceptance of English as an alternative to Latin for validatin...

The authors assessed immediate repetition effects on event-related potentials (ERPs) while participants performed familiarity decisions for written personal names. For immediately repeated familiar names, the authors observed 3 distinct ERP modulations. At 180-220 ms, a posterior N200 effect occurred for names preceded by same-font primes only. In addition, an increased left temporal negativity...

This paper proposes an approach to identify word candidates that are not Traditional Chinese, including Japanese names (written in Japanese Kanji or Traditional Chinese characters) and word variants, when doing word segmentation on Traditional Chinese text. When handling personal names, a probability model concerning formats of names is introduced. We also propose a method to map Japanese Kanji...

Assuming that the goal of a person name query is to find references to a particular person, we argue that one can derive better relevance scores using probabilities derived from a language model of personal names than one can using corpus based occurrence frequencies such as inverse document frequency (idf). We present here a method of calculating person name match probability using a language ...

This article presents a statistical study of WPT05, a text corpus derived from a crawl of the Portuguese Web performed in 2005. This corpus is a valuable resource for researchers in Natural Language Processing (NLP). As one of the biggest publicly available collections of European Portuguese texts, we provide statistical analyses of the contents, covering the languages identified, the represent...

The aim of this paper is to present the construction of a hybrid, three-stage named entity recognizer for Tamil. Named entity recognition performs an in-place tagging task for a given Tamil document in three phases namely shallow parsing, shallow semantic parsing and statistical processing. The E-M algorithm (HMM) is used in the statistical processing phase, with initial probabilities obtained ...

Current machine-learning approaches to information extraction often include features based on large volumes of knowledge in form of gazetteers, word clusters, etc. In this paper we consider a CRF-based approach to Russian named entity recognition based on multiple lexicons. We test our system on the open Russian collection "Persons-1000" labeled with personal names. We additionally annotated th...