This study investigated the effectiveness of discourse structure-based graphic organizers (GOs) on students’ reading comprehension. Seventy learners were randomly divided in two equal experimental and control groups. They took a pre-test of reading comprehension. Then the experimental group analyzed the textual structures based on the frameworks of GOs and discussed the cohesive and coherent de...

This study aimed to explore the function and frequency of textual metadiscourse markers (MDMs) in scientific English and Persian texts. Based on the qualitative and quantitative analysis of textual markers characterizing the selected genre, four different textbooks, two written in English and two in Persian were analyzed to identify the textual metadiscourse categories (including logical marker...

Document production tools are present everywhere, resulting in an exponential growth of increasingly complex, distributed and heterogeneous documents. This hampers document exchange, as well as their annotation and retrieval. While information retrieval mechanisms concentrate on textual features (corpus analysis), annotation approaches either target specific formats or require that a document f...

A lot of work has been conducted on time series classification and similarity search over the past decades. However, the classification of a time series with high accuracy is still insufficient in applications such as ubiquitous or sensor systems. In this paper, a novel textual approximation of a time series, called TAX, is proposed to achieve high accuracy time series classification. l-TAX, an...

Textual entailment has been proposed as a unifying generic framework for modeling language variability and semantic inference in different Natural Language Processing (NLP) tasks. This paper presents a novel statistical method for recognizing Chinese textual entailment in which lexical, syntactic with semantic matching features are combined together. In order to solve the problems of syntactic ...

Abstract: By presenting textual information within the space of corresponding images, the concept of DUAL-USE OF IMAGE SPACE (DUIS) eases the mental integration of textual and pictorial information. This paper applies the DUIS approach which was initially developed for area features to linear features. Moreover, we enhance the DUIS approach with new tools to navigate within embedded texts: The ...

The NWO-programme Modelling textual organisation: coherence and cohesion studies the organisation of text into structural units by means of coherence (discourse relations between clausal and larger textual units) and cohesion (lexico-semantic relations between words in textual units). The programme is organised around two related PhD-projects, focussing on coherence and cohesion, respectively. ...

Recognition of textual entailment is not an easy task. In fact, early experimental evidences in [1] seems to demonstrate that even human judges often fail in reaching an agreement on the existence of entailment relation between two expressions. We aim to contribute to the theoretical and practical setting of textual entailment, through both a linguistic inspection of the textual entailment phen...

This paper describes our work in NTCIR-11 on RITE-3 Binary-class (BC) subtask and Multi-class (MC) subtask in Simplified Chinese. We proposed a textual entailment system using a hybrid approach that integrates many features. The performance of the proposed method in the formal run achieved Macro-F1’s of 59.71% in BC subtask and only 23.19% in MC subtask