1,413 research outputs found

    Locally GG-homogeneous Busemann GG-spaces

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    We present short proofs of all known topological properties of general Busemann GG-spaces (at present no other property is known for dimensions more than four). We prove that all small metric spheres in locally GG-homogeneous Busemann GG-spaces are homeomorphic and strongly topologically homogeneous. This is a key result in the context of the classical Busemann conjecture concerning the characterization of topological manifolds, which asserts that every nn-dimensional Busemann GG-space is a topological nn-manifold. We also prove that every Busemann GG-space which is uniformly locally GG-homogeneous on an orbal subset must be finite-dimensional

    Minimality of planes in normed spaces

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    We prove that a region in a two-dimensional affine subspace of a normed space VV has the least 2-dimensional Hausdorff measure among all compact surfaces with the same boundary. Furthermore, the 2-dimensional Hausdorff area density admits a convex extension to Λ2V\Lambda^2 V. The proof is based on a (probably) new inequality for the Euclidean area of a convex centrally-symmetric polygon.Comment: 10 pages, v2: minor changes according to referees' comments, to appear in GAF

    Best-First Surface Realization

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    Current work in surface realization concentrates on the use of general, abstract algorithms that interpret large, reversible grammars. Only little attention has been paid so far to the many small and simple applications that require coverage of a small sublanguage at different degrees of sophistication. The system TG/2 described in this paper can be smoothly integrated with deep generation processes, it integrates canned text, templates, and context-free rules into a single formalism, it allows for both textual and tabular output, and it can be parameterized according to linguistic preferences. These features are based on suitably restricted production system techniques and on a generic backtracking regime.Comment: 10 pages, LaTeX source, one EPS figur

    A Flexible Shallow Approach to Text Generation

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    In order to support the efficient development of NL generation systems, two orthogonal methods are currently pursued with emphasis: (1) reusable, general, and linguistically motivated surface realization components, and (2) simple, task-oriented template-based techniques. In this paper we argue that, from an application-oriented perspective, the benefits of both are still limited. In order to improve this situation, we suggest and evaluate shallow generation methods associated with increased flexibility. We advise a close connection between domain-motivated and linguistic ontologies that supports the quick adaptation to new tasks and domains, rather than the reuse of general resources. Our method is especially designed for generating reports with limited linguistic variations.Comment: LaTeX, 10 page
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