We report on three years of data collected in the field from students in graduate and undergraduate seminars at two universities. The students annotated texts for discussion in classes where hypertext and computer interfaces were core topics. The results of our analysis show how annotation style changes with a combination of experience and study of material related to annotation. Our major conc...

INTRODUCTION The paper glosses on the experience of a research-oriented team routinely involved in emergency preparedness and response management activities, with the assimilation, implementation, and application of decision support systems (DSS) of continental reference in Europe, and the development of supportive, domestic radiological assessment tools. Two exemplary cases are discussed – the...

In this paper, we report our preliminary efforts in building an English-Turkish parallel treebank corpus for statistical machine translation. In the corpus, we manually generated parallel trees for about 5,000 sentences from Penn Treebank. English sentences in our set have a maximum of 15 tokens, including punctuation. We constrained the translated trees to the reordering of the children and th...

An important problem in Natural Language Processing is identifying thecorrect sense of a word in a particular context. Thus far, statistical methods have been considered the best techniques in word sense disambiguation. Unfortunately, these methods produce high accuracy results only for a small number of preselected words. The reduced applicability of statistical methods is due basically to the...

The lack of large, semantically annotated corpora is one of the main drawbacks of Word Sense Disambiguation systems. Unsupervised systems do not need such corpora and rely on the information of the WordNet ontology. In order to improve their performance, the use of other lexical resources need to be investigated. This paper describes the effort to integrate the Conceptual Density approach with ...

Sentiment classification is an ongoing field and interesting area of research because of its application in various fields collecting review from people about products and social and political events through the web. Currently, Sentiment Analysis concentrates for subjective statements or on subjectivity and overlook objective statements which carry sentiment(s). During the sentiment classificat...

The aim of this paper is to describe a new method for the automatic resolution of lexical ambiguity of verbs in English texts, based on the idea of semantic similarity between nouns using WordNet. 1 An outline of our approach. The method of WSD proposed in this paper is based on knowledge and consists basically of sense-disambiguating of the verb that appear in an English sentence. A simple sen...

This paper presents on-going work on creating NLP tools for under-resourced languages from very sparse training data coming from linguistic field work. In this work, we focus on Ingush, a Nakh-Daghestanian language spoken by about 300,000 people in the Russian republics Ingushetia and Chechnya. We present work on morphosyntactic taggers trained on transcribed and linguistically analyzed recordi...

1 The glosses used in this paper are as follows: Nom = nominative Case, Acc = Accusative Case, Dat = dative Case, Q = Question particle, Cop = copula, Top = topic marker, Nmlz = nominalizer. 2 Unlike English sluicing which is generally considered as TP deletion following overt wh-movement, as in (i), Japanese sluicing-like construction is considered as the deletion of the presupposition part of...

Synchronous context-free grammars are a generalization of context-free grammars (CFGs) that generate pairs of related strings instead of single strings. Thus they are useful in many situations where one might want to specify a recursive relationship between two languages. Originally, they were developed in the late 1960s for programming-language compilation [1]. In natural language processing, ...