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Journals and Conferences
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The paper reports on the design and construction of a multi-layered corpus of Italian, annotated at the syntactic and lexico-semantic levels, whose development is supported by dedicated software augmented with an intelligent interface. The issue of evaluating this type of resource is also addressed.
 Dan Klein and Christopher D. Manning. Fast exact inference with a factored model for natural language parsing. Another more practical line of activity includes an error analysis to identify the classes of errors done by the two algorithms, so that strategies to cope with them can be designed. For Collins' parsers this would imply the introduction of… (More)
This paper describes an automatically annotated multimodal corpus of multi-party meetings. The corpus provides for each subject involved in the experimental sessions information on her/his social behavior and personality traits, as well as audiovisual cues (speech rate, pitch and energy, head orientation, head, hand and body fidgeting). The corpus is based… (More)
The user's personality in Human-Computer Interaction (HCI) plays an important role for the overall success of the interaction. The present study focuses on automatically recognizing the Big Five personality traits from 2-5 min long videos, in which the computer interacts using different levels of collaboration, in order to elicit the manifestation of these… (More)
This paper targets the automatic detection of personality traits in a meeting environment by means of audio and visual features; information about the relational context is captured by means of acoustic features designed to that purpose. Two personality traits are considered: Extraversion (from the Big Five) and the Locus of Control. The classification task… (More)
This paper targets the automatic detection of individual performances in group tasks by means of short sequences, "thin slices", of nonverbal behavior. We designed our task as a classification one. We also investigated the relevance of social context in our task and the effectiveness of our feature selection.
Corpora annotated at semantic level play a crucial role both in research and in applicative contexts in which systems of natural language processing are studied and developed. In this paper we present the lexico-semantic annotation of an Italian treebank, a first attempt to recover the lack of such resource for Italian. We will describe the annotation… (More)
We propose and investigate a paradigm for activity recognition, distinguishing the “on-going activity” recognition task (OGA) from that addressing “complete activities” (CA). The former starts from a time interval and aims to discover which activities are going on inside it. The latter, in turn, focuses on terminated activities and amounts to taking an… (More)
In this paper we compare two interlingua representations for speech translation. The basis of this paper is a distributional analysis of the C-star II and Nespole databases tagged with interlingua representations. The C-star II database has been partially re-tagged with the Nespole interlingua, which enables us to make comparisons on the same data with two… (More)