In this paper, we propose a pseudo-relevance feedbackmethod to deal with the photographic retrieval and medical retrieval tasks of ImageCLEF 2007. The aim of our participation to ImageCLEF is to evaluate a combination method using both english textual queries and image queries to answer to topics. The approach processes image queries and merges them with textual queries in order to improve resu...

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...

Affective analysis of images in social networks has drawn much attention, and the texts surrounding images are proven to provide valuable semantic meanings about image content, which can hardly be represented by low-level visual features. In this paper, we propose a novel approach for visual affective classification (VAC) task. This approach combines visual representations along with novel text...

Design: The authors assembled a set of resources to lexically and semantically profile the diseases and their associated symptoms, treatments, etc. These features were explored in a hybrid text mining approach, which combined dictionary look-up, rule-based, and machine-learning methods. Measurements: The methods were applied on a set of 507 previously unseen discharge summaries, and the predict...

Identifying and managing credit risk is vital for all lending institutions. Historically, assessed using financial data from published statements. However, research indicates that the ability to detect hardship may be improved by textual analysis of firms’ disclosed records. This study aims establish an association between themes words Management Discussion Analysis (MDA) reports firms corporat...

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

This study aimed to investigate the impact of textual enhancement and metalinguistic explanation as focus-on-form tasks tending to encourage the acquisition of nominal clauses (NCs) in English. It explored (a) whether textual enhancement and metalinguistic explanation would promote and enhance the knowledge of NCs, (b) whether these two tasks would differ in terms of enhancing learners' knowled...