Four experiments test predictions on endowment and mental accounting effects of a theoretical perspective that stresses the symbolic-relational significance for consumer transactions and that posits the placement of qualitative boundaries on fungibility. Although people accepted proposals to buy objects acquired in marketpricing relationships as routine, the same proposals in communal-sharing, ...

This paper describes the evolution of our method Encoplot for automatic plagiarism detection and the results of the participation to the PAN’11 competition. The main novelties are the introduction of a new similarity measure and of a new ranking method, which cooperate to rank much better the source– suspicious document pairs when selecting the candidates for the detailed analysis phase. We hav...

In this paper we describe a semi-automated approach to extend morphological lexicons by defining the prediction of the correct inflectional paradigm and the lemma for an unknown word as a supervised ranking task trained on an already existing lexicon. While most ranking approaches rely only on heuristics based on a single information source, our predictor uses hundreds of features calculated on...

The classical technique for proving termination of a generic sequential computer program involves the synthesis of a ranking function for each loop of the program. Linear ranking functions are particularly interesting because many terminating loops admit one and algorithms exist to automatically synthesize it. In this paper we present two such algorithms: one based on work dated 1991 by Sohn an...

The user shares their thoughts on social web sites often through posts and comments. Users register to communities using their personal information. The social web sites like Yahoo, YouTube, Facebook and Twitter provides a large volume of general information of users interest. The popularity of social websites is increasing very fast because of the large scale of user participation, through con...

Knowledge-based communities are popular Web-based tools that allow members to share and seek knowledge globally. However, research on how to search effectively within such knowledge repositories is scant. In this paper we study the problem of finding authoritative documents for user queries within a knowledge-based community. Unlike prior research on the ranking function design which considers ...

We propose a method for selecting and ranking translation candidates using as, input disambiguated source language expressions with thesaurus-compatible senses. This procedure provides the means for choosing contextually appropriate translations automatically once the sense of the expression in the source language is known. Results can be stored to create a database where bilingual dictionary e...

Text readability is typically defined in terms of “grade level”; the expected educational level of the reader at which the text is directed. Mechanisms for measuring readability in English documents are well established; however this is not in case in many other languages, such as syllabic alphabetic languages. In this paper seven different mechanisms for assessing the readability of syllabic a...

A machine learning mechanism is learned from human annotations in order to perform preference ranking. The mechanism operates on a sentence level and ranks the alternative machine translations of each source sentence. Rankings are decomposed into pairwise comparisons so that binary classifiers can be trained using black-box features of automatic linguistic analysis. In order to re-compose the p...