Studying the properties of the W boson naturally plays a key role in precision tests of the Standard Model. In this paper, the key measurements performed at LEP and the Tevatron over the last decade are reviewed. The current world knowledge of the W boson production and decay properties, gauge couplings, and mass are presented, with an emphasis on the most recent results from LEP2. Some estimat...

The construction of real-world knowledge is required if we are to understand real-world events that occur in a networked sensor environment. Since it is difficult to select suitable ‘events’ for recognition in a sensor environment a priori, we propose an incremental model for constructing real-world knowledge. Labeling is the central plank of the proposed model because the model simultaneously ...

In this paper we present a method to automatically identify linguistic contexts which contain possible causes of emotions or emotional states from Italian newspaper articles (La Repubblica Corpus). Our methodology is based on the interplay between relevant linguistic patterns and an incremental repository of common sense knowledge on emotional states and emotion eliciting situations. Our approa...

The interpretation of logical metonymies like begin the book has traditionally been explained by assuming the existence of complex lexical entries containing information about event knowledge (qualia roles: reading the book/writing the book). Qualia structure provides concrete constraints on interpretation, which are however too rigid to be cognitively plausible. We suggest generalized event kn...

Induction of common sense knowledge about prototypical sequences of events has recently received much attention (e.g., (Chambers & Jurafsky, 2008; Regneri et al., 2010)). Instead of inducing this knowledge in the form of graphs, as in much of the previous work, in our method, distributed representations of event realizations are computed based on distributed representations of predicates and th...

Representing knowledge w i t h i n an AI program AI programs are commonly conceived to embody knowledge, whether as program or as data . Procedu r a l embedding of knowledge may promote e f f i c i e n c y , and it may enable one to use e x i s t i n g program s t r u c t u r i n g techniques to impose some order on the embedded knowledge. However procedural embedding has disadvantages o f i n ...

In this paper we discuss the role organizational narrations can play in the field of knowledge management and develop a model on qualifying and evaluating narrations. As a necessary prerequisite we first clarify the epistemological nature of narrative knowledge opposed to discursive knowledge by referring to a distinction drawn by the French philosopher Lyotard. Narrative knowledge is character...

In my doctoral research, I address the problem of automatically acquiring commonsense knowledge from text corpora and also from data-sets containing visuals (images, videos) along with textual descriptions. I also aim to exploit the acquired commonsense knowledge for domain-specific and domain-independent applications such as fine-grained search, retrieval and prediction, data integration and a...

In this paper we present an innovative approach for semantic annotation of narrative media objects (video, text, audio, etc.) that integrates vast commonsense ontological knowledge to a novel ontologybased model of narrative, Drammar (focused on the dramatic concepts of ‘character’ and ‘action’), to permit the annotation of their narrative features. We also describe the annotation workflow and ...

The ever-growing literature in biomedicine makes it virtually impossible for individuals to grasp all the information relevant to their interests. Since even experts’ knowledge is limited, important associations among key biomedical concepts may remain unnoticed in the flood of information. Discovering those hidden associations is called hypothesis discovery. This paper reports our approach to ...