A representative group of 33 medical students who were entering the junior year clerkships was tested for retention and recall of clinical information 3 months after taking an examination on the same subject. The students were not given an opportunity to review the subject. On 39 identical multiple choice test questions, the students' mean score declined 10 percentile points (P < 0.05) from tha...

The performance evaluation of information retrieval systems has achieved a high momentum in the last few years. Basic performance measures of information retrieval systems include precision and recall. While these measures work well in monolingual web retrieval, they are not suitable for CLIR (Cross-lingual Information Retrieval) and MLIR (Multilingual Information Retrieval) where two or more l...

We introduce a tool that supports knowledge workers who want to gain insights from a tweet collection, but due to time constraints cannot go over all tweets. Our system first pre-processes, de-duplicates, and clusters the tweets. The detected clusters are presented to the expert as so-called information threads. Subsequently, based on the information thread labels provided by the expert, a clas...

In this paper, we report our approach to retrieve patent documents based on the prior art. We use the standard Information Retrieval (IR) techniques which contain indexing and retrieval processes. We use various combinations of document fields for the query formulation. Based on the evaluation summary, we achieve the best result for the combinations of invention-title, description and claims fi...

In this paper, we present a novel approach in automatic discourse segmentation without a full semantic understanding. In order to analyse the textual bonds and determine the degree of coherence that a discourse may exhibit, we first represent the tremendous diversity of textual relations into a discourse network. A set of mutual linguistic constraints that largely determines the similarity of m...

In this paper, a new topic identification method, WSIM, is investigated. It exploits the similarity between words and topics. This measure is a function of the similarity between words, based on the mutual information. The performance of WSIM is compared to the cache model and to the wellknown SVM classifier. Their behavior is also studied in terms of recall and precision, according to the trai...

Children chose either to maintain their initial belief about an object's identity or to accept the experimenter's contradicting suggestion. Both 3-4 and 4-5 year olds were good at accepting the suggestion only when the experimenter was better informed than they were themselves (implicit source monitoring). They were less accurate at recalling both their own and the experimenter's information ac...