In this paper, we investigate the impact of an object simplification approach in registration using the Iterative Closest Point (ICP) algorithm. Though the simplification of the objects remarkably reduces the registration time, it also raises a critical issue, whether the simplified version of the object carries sufficient information to recover the proper geometric parameters of registration. ...

Extracting biomedical relations such as drug-drug interaction (DDI) from text is an important task in biomedical NLP. Due to the large number of complex sentences in biomedical literature, researchers have employed some sentence simplification techniques to improve the performance of the relation extraction methods. However, due to difficulty of the task, there is no noteworthy improvement in t...

In this paper we analyze a process improvement project in detail and propose a generic framework for process improvement through process simplification. It involves simplification of relevant policies, simplification of procedures and alignment of process execution teams along policy, process and systems. The simplification framework can be very helpful in process improvement efforts where exte...

This paper presents experiments with document-level machine translation with readability constraints. We describe the task of producing simplified translations from a given source with the aim to optimize machine translation for specific target users such as language learners. In our approach, we introduce global features that are known to affect readability into a documentlevel SMT decoding fr...

We created and tested e-Rural, an approach to allow educators to dynamically adjust the target literacy level for their online learning content using a combination of three tools: PACO-T for planning, COGNITOR for editing hyper documents and Simplifica for text simplification. PACO-T and COGNITOR use the Brazilian Open Mind Common Sense knowledgebase (OMCS-Br) to provide access to commonly held...

This paper describes SimpLex,1 a Lexical Simplification system that participated in the English Lexical Simplification shared task at SemEval-2012. It operates on the basis of a linear weighted ranking function composed of context sensitive and psycholinguistic features. The system outperforms a very strong baseline, and ranked first on the shared task.

In this paper we present PaCCSS–IT, a Parallel Corpus of Complex–Simple Sentences for ITalian. To build the resource we develop a new method for automatically acquiring a corpus of complex–simple paired sentences able to intercept structural transformations and particularly suitable for text simplification. The method requires a wide amount of texts that can be easily extracted from the web mak...

Texts are routinely simplified to make them more comprehensible for second language learners. However, the effects of simplification upon the linguistic features of texts remain largely unexplored. Here we examine the effects of one type of text simplification: intuitive text simplification. We use the computational tool, Coh-Metrix, to examine linguistic differences between proficiency levels ...

We describe a readability assessment approach to support the process of text simplification for poor literacy readers. Given an input text, the goal is to predict its readability level, which corresponds to the literacy level that is expected from the target reader: rudimentary, basic or advanced. We complement features traditionally used for readability assessment with a number of new features...

Lexicons of word difficulty are useful for various educational applications, including readability classification and text simplification. In this work, we explore automatic creation of these lexicons using methods which go beyond simple term frequency, but without relying on age-graded texts. In particular, we derive information for each word type from the readability of the web documents they...