Classification problems with a very large or unbounded set of output categories are common in many areas such as natural language and image processing. In order to improve accurac...
Ivan Titov, Alexandre Klementiev, Kevin Small, Dan...
A major research goal for compilers and environments is the automatic derivation of tools from formal specifications. However, the formal model of the language is often inadequat...
In the last years dependency parsing has been accomplished by machine learning–based systems showing great accuracy but usually under 90% for Labelled Attachment Score (LAS). Mal...
We investigate the problem of determining the polarity of sentiments when one or more occurrences of a negation term such as “not” appear in a sentence. The concept of the sco...
Abstract. This paper introduces a novel approach to language processing, in which linguistic facts are represented as predicates over ranges of the intput text, usually, but not li...