in this study, attempts have been made to investigate the self-healing factors in marital conflicts, with an emphasis on the views of ayatollah javadi amoly in anthropology. a holistic approach based on strong points of marriage is better suited to meet different needs of couples, contributing to the resolution of conflicts, as compared to an approach that deals with strengths and self-healing ...

This paper presents a general architecture for ancient handwriting documents content description and retrieval. It is based on the Curvelets decomposition of images for indexing linear singularities of handwritten shapes. As it belongs to the Wavelets family, its representation is used at several scales of details. The proposed scheme for handwritten shape characterization targets to detect ori...

We present an Integer Linear Programming model of content selection, lexicalization, and aggregation that we developed for a system that generates texts from OWL ontologies. Unlike pipeline architectures, our model jointly considers the available choices in these three text generation stages, to avoid greedy decisions and produce more compact texts. Experiments with two ontologies confirm that ...

Fake content is flourishing on the Internet, ranging from basic random word salads to web scraping. Most of this fake content is generated for the purpose of nourishing fake web sites aimed at biasing search engine indexes: at the scale of a search engine, using automatically generated texts render such sites harder to detect than using copies of existing pages. In this paper, we present three ...

Most of our information sources and of our publications contain essential parts in form of natural language texts. During the process of publication this information is used by authors and transformed into new documents (e.g., new texts, abstracts, translations). Basically it is the content of texts which is accessed, not just the surface structure. In order to electronically support applicatio...

SynDiKATe comprises a family of text understanding systems for automatically acquiring knowledge from real-world texts, viz. information technology test reports and medical nding reports. Their content is transformed to formal representation structures which constitute corresponding text knowledge bases. SynDiKATe's architecture integrates requirements from the analysis of single sentences, as ...

We propose a simple, yet effective, pipeline architecture for document classification. The task we intend to solve is to classify large and content-wise heterogeneous document streams on a layered nine-category system, which distinguishes medical from non-medical texts and sorts medical texts into various subgenres. While the document classification problem is often dealt with using computation...

Evaluation of the content of free texts is a challenging task for humans. Automation of this process is largely useful in order to reduce human related errors. We consider one instance of the “free texts” assessment problems; automatic essay grading where the task is to grade student written essays automatically given course materials and a set of human-graded essays as training data. We use a ...

In this paper, we propose an unsupervised approach to automatically synthesize Wikipedia articles in multiple languages. Taking an existing high-quality version of any entry as content guideline, we extract keywords from it and use the translated keywords to query the monolingual web of the target language. Candidate excerpts or sentences are selected based on an iterative ranking function and ...