in Sraffa's theory of normal prices:

Study of sedimentary pyrite in the form of framboids, euhedral crystals or metasomatic masses has revealed that their surfaces are commonly covered with spheroids of about 50 nm. This applies to all the examples studied, from modern to Proterozoic. These spheroids are interpreted as the pyritized corpses of nannobacterial cells; if correct, this indicates that precipitation of iron sulfide was performed by these dwarf forms of bacteria, often associated with decaying organic matter. 1.

and the gene annotations associated with the Gene Ontology database. The goal of this paper is to demonstrate that improvements to these approaches can be obtained by integrating textual evidence extracted from relevant biomedical literature. 1

implicit knowl-edge. To make this happen, efficient computational approaches are a necessity for applications in such a knowledge- and data-intensive domain. In this paper, we first define a particular task, relation alignment, which is to identify textual evidences for biomedical ontologies. Then, we

Currently, most approaches to retrieving textual materials from scientific databases depend on a lexical match between words in users' requests and those in or assigned to documents in a database. Because of the tremendous diversity in the words people use to describe the same document

MedEvi: Retrieving textual evidence of relations between

We propose a novel algorithm for inducing semantic taxonomies. Previous algorithms for taxonomy induction have typically focused on independent classifiers for discovering new single relationships based on hand-constructed or automatically discovered textual patterns. By contrast, our algorithm

We present a visual analytic framework for exploring the relationship of textual evidence for computer forensics. Based upon a task analysis study performed with practitioners, our tool addresses the inefficiency of searching for related text documents on a hard drive. Our framework searches both

categories, this article offers an interpretive textual analysis together with a genetic narrative of Sir Thomas More’s Utopia (1516). It demonstrates the extent of text variation caused by agents other than the author and in so doing presents evidence of a highly interactive textual practice in early modern

Online reviews are often accompanied with numerical ratings provided by users for a set of service or product aspects. We propose a statistical model which is able to discover corresponding topics in text and extract textual evidence from reviews supporting each of these aspect ratings – a