This paper summarizes our research in the area of semantic tagging at the word and sense levels and sets the ground for a new approach to text-level sentiment annotation using a combination of machine learning and linguisticallymotivated techniques. We describe a system for sentiment tagging of words and senses based on WordNet glosses and advance the treatment of sentiment as a fuzzy category.

This paper presents a new WSD method, based in Magnini and Strapparava’s idea of using WordNet Domains in WSD. Our approach, exploits information contained in glosses of WorNet Domains and introduces a new lexical resource “Relevant Domains”. The new method developed is based in this new lexical resource and has been tested with the test data for the English all-words task in SENSEVAL2.

Claims regarding negative strong reciprocity do indeed rest on experiments lacking established external validity, often without even a small "menu of options." Guala's review should prompt strong reciprocity proponents to extend the real-world validity of their work, exploring the preferences participants bring to experiments. That said, Guala's approach fails to differentiate among group selec...

This encyclopedic article gives a mini-introduction into the theory of universal learning, founded by Ray Solomonoff in the 1960s and significantly developed and extended in the last decade. It explains the spirit of universal learning, but necessarily glosses over technical subtleties.

This comment, written for a symposium on Rowan Cruft's Human Rights, Ownership, and the Individual, considers some aspects of discussion property. I suggest that Cruft glosses over certain complexities in this area, especially concerning relation between property other kinds right. question Cruft’s arguments about justifiability indeed whether he is really interested as such.