Regression testing is a commonly used activity whose purpose is to determine whether the modifications made to a software system have introduced new faults. Textual differ-encing is a new, safe and fairly precise, selective regression testing technique that works by comparing source files from the old and the new version of the program. We have implemented the textual differencing technique in ...

Research provides ample evidence of the impact web page design has on comprehension; and that Generation Y users are impatient and dislike reading text. Yet there has been little research that focuses on content, in particular to examine the impact of text simplification on younger users’ processing of textual information. To address this need, we report the initial steps of a larger research e...

This paper describes the joint participation of the TIA-LabTL (INAOE) and the MindLab research group (UNAL) at the ImageCLEF 2015 Scalable Concept Image Annotation challenge subtask 2: generation of textual descriptions of images noisy track. Our strategy relies on a multimodal representation that is built in an unsupervised way by using the associated text to images and the visual features tha...

Detection models of financial misreporting have evolved beyond basic quantitative or financial measures to include textual or linguistic characteristics of firms’ disclosures. While these textual analysis methods provide incremental power in identifying misreporting, they examine how content is being disclosed as opposed to what is being disclosed. This study introduces a novel fraud-detection ...

We propose a method of content-based multimedia retrieval of objects with visual, aural and textual properties. In our method, training examples of objects belonging to a specific semantic class are associated with their low-level visual descriptors (such as MPEG-7) and textual features such as frequencies of significant keywords. A fuzzy mapping of a semantic class in the training set to a cla...

The UNED-UV group at the ImageCLEF2013 Campaign have participated in the Scalable Concept Image Annotation subtask. We present a multimedia IR-based system for the annotation task. In this collection, the images do not have any textual description associated, so we have downloaded and preprocessed the web pages which contain the images. Regarding the concepts, we expanded their textual descript...

Anomaly detection has extensive use in a wide variety of applications, such techniques aim to and patterns in data that do not conform to expected behavior. In this work we apply anomaly detection to the task of discovering anomalies from user-generated content of commercial product descriptions. While most of the other works in literature rely exclusively on textual features, we combine those ...

The expansion of structured information in different applications introduces a new ambiguity in multimedia retrieval in semi-structured documents. We investigate in this paper the combination of textual and structural context for multimedia retrieval in XML document thus we present a indexing model which combines textual and structural information. We propose a geometric method who use implicit...

An artificial believer has to recognize textual entailment to categorize beliefs. We describe our system – the Fuzzy Believer system – and its application to the TAC/RTE three-way task.

This paper describes the IBM team's approach for the textual entailment recognition task (RITE) in NTCIR-9 [10] with experimental results for four Japanese subtasks: BC, MC, EXAM, and RITE4QA. To tackle the data set with complicated syntactic and semantic phenomena, the authors used a classi cation method to predict entailment relations between two di erent texts. These features were used for c...