The genus Glyphidops Enderlein, 1922, the most widespread and speciose of the New World genera of Neriidae (Diptera), is revised herein. Glyphidops (Glyphidops) ruselatus, new species, G. (G.) steyskali, new species and G. (G.) coracinus, new species are described. Of the 16 previously described species, which were last treated by Aczél (1961), the following synonyms are proposed: Chaetomeriste...

Pattern matching has proven to be a convenient, expressive way of inspecting data. Yet this language feature, in its traditional form, is limited: patterns must be data constructors of concrete data types. No computation or abstraction is allowed. The data type in question must be concrete, with no ability to enforce any invariants. Any change in this data type requires all clients to update th...

MOTIVATION Genes and proteins are often associated with multiple names. More names are added as new functional or structural information is discovered. Because authors can use any one of the known names for a gene or protein, information retrieval and extraction would benefit from identifying the gene and protein terms that are synonyms of the same substance. RESULTS We have explored four com...

We propose a new method for translation acquisition which uses a set of synonyms to acquire translations from comparable corpora. The motivation is that, given a certain query term, it is often possible for a user to specify one or more synonyms. Using the resulting set of query terms has the advantage that we can overcome the problem that a single query term’s context vector does not always re...

between Vocabulary Heterogeneity and Loss of Information Eduardo Mena Facultad de Inform atica UPV/EHU San Sebasti an. Spain [email protected] Vipul Kashyap LSDIS Lab, UGA & CS dept., Rutgers Univ. New Brunswick, NJ 08903 [email protected] Arantza Illarramendi Facultad de Inform atica UPV/EHU San Sebasti an. Spain [email protected] Amit Sheth LSDIS Lab http://lsdis.cs.uga.edu/ UGA, Athens, G...

Microblogging currently becomes a popular communication way and detecting sentiments of microblogs has received more and more attention in recent years. In this paper, we propose a new approach to detect the sentiments of Chinese microblogs using layered features. Three layered structures in representing synonyms and highly-related words are employed as extracted features of microblogs. In the ...