This paper presents a set of mechanisms oriented to incorporate social information into the decision taking of task-oriented 3DIVA. The aim of this approach is to integrate collaborative skills in different character’s roles (seller/buyer, worker, pedestrian, etc.) in order to enhance its behavioral animation. The collective intelligence expected in this kind of multi-character domains (e.g. st...

An established method for MWE extraction is the combined use of previously identified POS-patterns and association measures. However, the selection of such POSpatterns is rarely debated. Focusing on Italian MWEs containing at least one adjective, we set out to explore how candidate POS-patterns listed in relevant literature and lexicographic sources compare with POS sequences exhibited by stati...

We explore the consequences of representing token segmentations as hierarchical structures (trees) for the task of Multiword Expression (MWE) recognition, in isolation or in combination with dependency parsing. We propose a novel representation of token segmentation as trees on tokens, resembling dependency trees. Given this new representation, we present and evaluate two different architecture...

In this article, a novel CF (collaborative filtering)-based recommender system is developed for e-commerce sites. Unlike the conventional approach in which only binary purchase data are used, the proposed approach analyzes the data captured from the navigational and behavioral patterns of customers, estimates the preference levels of a customer for the products which are clicked but not purchas...

Distributed systems greatly benefit from caching. Caching data objects of variable size and cost poses interesting questions that have been researched for the past ten years. As a result, a few good algorithms have come to the fore. These algorithms make effective decisions in selecting cache objects for removal. However, they make no decision about the suitability of a new object for placement...

High frequency can convert a word sequence into a multiword expression (MWE), i.e., a collocation. In this paper, we use collocations as well as syntactically-flexible, lexicalized phrases to analyze ‘job specification documents’ (a kind of corporate technical document) for subsequent acquisition of automated knowledge elicitation. We propose the definition of structural and functional patterns...

For UFRGS’s participation on CLEF’s Robust task, our aim was to assess the benefits of identifying and indexing Multiword Expressions (MWEs) for Information Retrieval. The approach used for MWE identification was totally statistical, based association measures such as Mutual Information and Chi-square. Contradicting our results on the training topics, the results on the test topics did not show...

The popular MLE (Maximum Likelihood Estimation) is a generative approach for acoustic modeling and ignores the information of other phones during training stage. Therefore, the MLE-trained acoustic models are confusable and unable to distinguish confusing phones well. This paper introduces discriminative measures of minimum phone/word error (MPE/MWE) to refine acoustic models to deal with the p...

Sensornets provide coverage of physical phenomena over extended periods, perhaps months or years. However, active nodes may deplete finite batteries within days, and are prone to failure. The sensornet application may require a given number of active nodes within each region to provide appropriate sensor redundancy and processing capacity. If many nodes are deployed, at any given time a smaller...

Multiword Expressions (MWEs) are crucial lexico-semantic units in any language. However, most work on MWEs has been focused on standard monolingual corpora. In this work, we examine MWE usage on Twitter an inherently multilingual medium with an extremely short average text length that is often replete with grammatical errors. In this work we present a new graph based, language agnostic method f...