The results obtained by the BUAP team at Task 1 of SemEval 2014 are presented in this paper. The run submitted is a supervised version based on two classification models: 1) We used logistic regression for determining the semantic relatedness between a pair of sentences, and 2) We employed support vector machines for identifying textual entailment degree between the two sentences. The behaviour...

In communities with higher well-being, people live longer and more productive lives, and local economies flourish. In an effort to improve understanding of what leads to vibrant communities and fulfilling lifestyles, our project explored community-level factors and their significance for determining well-being in Americas largest metropolitan areas. We hypothesized that the frequency of points ...

Consumer credit risk assessment involves the use of risk assessment tools to manage a borrower’s account from the time of pre-screening a potential application through to the management of the account during its life and possible write-off. The riskiness of lending to a credit applicant is usually estimated using a logistic regression model though researchers have considered many other types of...

This paper describes aueb’s participation in tac 2008. Specifically, we participated in the summarization and textual entailment recognition tracks. For the former we trained a Support Vector Regression model that is used to rank the summary’s candidate sentences; and for the latter we used a Maximum Entropy classifier along with string similarity measures applied to several abstractions of the...