collaborates with a workgroup to increase information nugget sharing among the group. Information nuggets are small amounts of self-contained information, such as the URL of an interesting news article, a book title, or the time and location of a local art event. NuggetMine and the workgroup work

The aggregated search assembles in one interface information from different sources. It deals with different types of content (text, video, image, etc) and granularities of retrieval. It aims to assemble the retrieved content forming an aggregated result. This is in contrast with the common

information can accelerate disaster response and alleviate both property and human losses. In this paper, we describe automatic methods for extracting information from microblog posts. Specifically, we focus on extracting valuable “information nuggets”, brief, self-contained information items relevant

The TREC Definition and Relationship questions are evaluated on the basis of information nuggets that may be contained in system responses. Human evaluators provide informal descriptions of each nugget, and judgements (assignments of nuggets to responses) for each response submitted by participants

-posal, we first decompose a retrieval topic into a number of informational nuggets. For each document, a binary judg-ment is made with respect to each nugget. The ratio of rele-vant nuggets to total nuggets becomes the graded relevance value assigned to that document. To provide support for this idea, we

This paper describes a novel text comparison environment that facilities text comparison administered through assessing and aggregating information nuggets automatically created and extracted from the texts in question. Our goal in designing such a tool is to enable and improve automatic nugget

an obvious tool to use to map the incidence and distribution and as a basis to plan cropping programs. The information required for agronomic decisions has to be obtained in sufficient time and at an acceptable price for this to be a viable technique. Two examples where this is being used are wheat in large

In this paper we describe automatic information nuggetization and its application to text comparison. More specifically, we take a close look at how machine-generated nuggets can be used to create evaluation material. A semiautomatic annotation scheme is designed to produce gold-standard data

This paper describes an approach to automatic nuggetization and implemented system employed in GALE Distillation evaluation to measure the information content of text returned in response to an open-ended question. The system identifies nuggets, or atomic units of information, categorizes them

the required learning objectives. Subsequently, we have modified the RELOAD editor such that the output from our tool can be translated into IMS-LD. The contribution of this paper is the comparison of our data model with that of IMS-LD, and the analysis of how each can inform the other.