Explaining negative results

Explaining Embodied Cognition Results

From the late 1950s until 1975, cognition was understood mainly as disembodied symbol manipulation in cognitive psychology, linguistics, artificial intelligence, and the nascent field of Cognitive Science. The idea of embodied cognition entered the field of Cognitive Linguistics at its beginning in 1975. Since then, cognitive linguists, working with neuroscientists, computer scientists, and exp...

Explaining Search Results

In this paper we argue that it may be possible to help searchers to better understand the relevance of search results by generating explanations that highlight how other users have interacted with such results under similar search conditions in the past. We propose the use of the search histories of a community of online users as a source of these explanations. We describe the results of a rece...

Explaining Text Clustering Results Using Semantic Structures

Common text clustering techniques offer rather poor capabilities for explaining to their users why a particular result has been achieved. They have the disadvantage that they do not relate semantically nearby terms and that they cannot explain how resulting clusters are related to each other. In this paper, we discuss a way of integrating a large thesaurus and the computation of lattices of res...

Explaining Results from Information Retrieval and Integration

Information retrieval and integration systems typically must handle incomplete and inconsistent data. Current approaches attempt to reconcile discrepant information by leveraging data quality, user preferences, or source provenance information. Such approaches may overlook the fact that information is interpreted relative to its context. Therefore, discrepancies may be explained and thereby res...

Negative Results on Learning