Metadiscourse markers are analyzed in many different languages detail. This study focuses on two interactional metadiscourse markers: attitude and self-mentions Turkish RA abstracts. In the study, scientific area, namely social sciences natural compared regarding use of There questions to answer. The first one is related features abstracts defined literature. Since as an objective summery artic...

This thesis addresses the problem of Recognizing Textual Entailment (i.e. recognizing that the meaning of a text entails the meaning of another text) using a Tree Edit Distance algorithm between the syntactic trees of the two texts. A key aspect of the approach is the estimation of the cost for the editing operations (i.e. Insertion, Deletion, Substitution) among words. Our aim is to compare th...

This paper describes a methodology for the speci cation and analysis of distributed real-time systems using the toolset called PARAGON. PARAGON is based on the Communicating Shared Resources paradigm, which allows a real-time system to be modeled as a set of communicating processes that compete for shared resources. PARAGON supports both visual and textual languages for describing real-time sys...

This paper presents a semi-automatic framework that aims to produce domain concept maps from text and then to derive domain ontologies from these concept maps. This methodology particularly targets the eLearning and AIED (Artificial Intelligence in Education) communities as they need such structures to sustain the production of eLearning resources tailored to learners’ needs. This paper details...

Determining the textual entailment between texts is important in many NLP tasks, such as summarization, question answering, and information extraction and retrieval. Various methods have been suggested based on external knowledge sources; however, such resources are not always available in all languages and their acquisition is typically laborious and very costly. Distributional word representa...

Semantic relevance among information resources can play an effective role in information retrieval, and there are several different approaches to measure semantic similarities. However, they are usually limited measuring similarities among structured concepts, and some also considers the similarities between individual resources but they are limited to to textual documents. This paper aims to e...

Mandala is a system for using images to represent, access, and organize web information. Images from a web page represent the content of the page. Double-clicking on an image signals a web browser to display the associated page. People identify groups of images visually and share them with Mandala by dragging them between windows. Groups of image representations are stored as imagemaps, making ...

MOTIVATION The online resources in the life sciences are characterized by a great fragmentation and one of the pressing issues of bioinformatics is making the integration of these resources a smoother and more flexible process than it is currently. Here we present i-cite, a browser extension, which implements a client-side model of integration which improves the navigation within the rapidly in...

The main objective of the designed experiments is testing the effects of geographical information retrieval from documents that contain geographical tags. In the designed experiments we try to isolate geographical retrieval from textual retrieval replacing all geo-entity textual references from topics with associated tags and splitting the retrieval process in two phases: textual retrieval from...

In this paper, we present a learning framework for the semantic annotation of text documents that can be used as textual cases in case-based reasoning applications. The annotations are known as knowledge roles and are task-dependent. The framework relies on deep natural language processing techniques and does not require the existence of any domain-dependent resources. Several experiments are p...