Recently, the credibility of information on the Web has become an important issue. In addition to telling about content of source documents, indicating how to interpret the content, especially showing interpretation of the relation between statements appeared to contradict each other, is important for helping a user judge the credibility of information. In this paper, we will describe the purpo...

The dichotomy of topic and focus, based, in the Praguean Functional Generative Description, on the scale of communicative dynamism, is relevant not only for a possible placement of the sentence in a context, but also for its semantic interpretation. An automatic identification of topic and focus may use the input information on word order, on the systemic ordering of kinds of complementations (...

Effective automatic summarization usually requires simulating human reasoning such as abstraction or relevance reasoning. In this paper we describe a solution for this type of reasoning in the particular case of surveillance of the behavior of a dynamic system using sensor data. The paper first presents the approach describing the required type of knowledge with a possible representation. This ...

Automatic interpretation of human speech into different languages is difficult as it involves problems of speech recognition and synthesis as well as machine translation. Although several hand-held devices have been developed to provide pre-recorded spoken phrases, only a few are capable of uttering phrases with unrestricted dialog, and these are often limited to a few languages. This paper des...

This paper describes recent work on a neural network approach to outdoor scene interpretation. The results of evaluating a range of automatic region-based segmentation techniques based on a new segmentation quality metric are presented. The optimal technique is used to segment images of natural outdoor scenes. A powerful set of features designed for outdoor scene analysis is extracted from regi...

We discuss the use of abstract interpretation in the context of automatic program veri cation requiring precise abstractions. We compare entirely manual versus user-guided abstractions ranging from program-speci c abstractions including predicate abstraction to the systematic design of abstract domains and iteration strategies. 1 Abstract Interpretation Theory Abstract interpretation theory [1,...

We present findings suggesting that analogical inference can play a role in the fundamental processes involved in automatic comprehension and interpretation. Participants were found to use information from a prior relationally similar example in understanding the content of a currently encoded example. Further, in doing so they were sensitive to structural mappings between the two instances, ru...

This paper discusses the interpretation of nominalizations in domain independent wide-coverage text. We present a statistical model which interprets nominalizations based on the cooccurrence of verb-argument tuples in a large balanced corpus. We propose an algorithm which treats the interpretation task as a disambiguation problem and achieves a performance of approximately 80% by combining part...