Topic models are a useful analysis tool to uncover the underlying themes within document
collections. The dominant approach is to use probabilistic topic models that posit a …

Nowadays, natural language processing (NLP) is one of the most popular areas of, broadly
understood, artificial intelligence. Therefore, every day, new research contributions are …

In this paper we consider clustering problems in which each point is endowed with a color.
The goal is to cluster the points to minimize the classical clustering cost but with the …

Readability assessment is the task of evaluating the reading difficulty of a given piece of text.
Although research on computational approaches to readability assessment is now two …

Automatic Readability Assessment (ARA), the task of assigning a reading level to a text, is
traditionally treated as a classification problem in NLP research. In this paper, we propose …

(1. 北京语言大学信息科学学院, 北京100083; 2. 北京语言大学对外汉语研究中心, 北京100083;
3. 北京语言大学汉语速成学院, 北京100083) 摘要: 文本可读性问题最初由教育学家提出 …

In this paper, we present the FABRA: readability toolkit based on the aggregation of a large
number of readability predictor variables. The toolkit is implemented as a service-oriented …

Writing in a clear and simple language is critical for scientific communications. Previous
studies argued that the use of adjectives and adverbs cluttered writing and made scientific …

Textual-based factors have been widely regarded as a promising feature that can be applied
to financial issues. This study focuses on extracting both basic and semantic textual features …

In this paper, we report three experiments evaluating a variety of feature sets and models
intended to develop a new readability model for French as a Foreign Language (FFL) …