Textual information of the sampled contexts.
| Dataset . | Source paper ref. . | Page . | Target paper ref. . | Context . |
|---|---|---|---|---|
| DBLP | Varadhan et al. (2006) | 7 | Varadhan et al. (2004) | we construct a roadmap in a deterministic fashion. Our goal is to sample the free space sufficiently to capture its connectivity. If we do not sample the free space adequately, we may not detect valid paths that pass through the narrow passages in the configuration space. In our prior work [=?=] we proposed a sampling algorithm to generate an octree grid for the purpose of topology preserving surface extraction. We use this sampling algorithm to capture the connectivity of free space. We provide a brief description of the octree generation algorithm. We refer the reader to [20] for a detailed |
| ACL | Lavoie et al. (2000) | 7 | Lavoie and Rainbow (1997) | History of the Framework and Comparison with Other Systems The framework represents a generalization of several predecessor NLG systems based on Meaning-Text Theory: FoG (Kittredge and 1991), LFS (Iordanskaja et al, 1992), and The framework was originally developed for the realization of deep-syntactic structures in NLG [=?=] It was later extended for generation of deep-syntactic structures from conceptual interlingua (Kittredge and Lavoie, 1998). Finally, it was applied to MT for transfer between deep-syntactic structures of different languages (Palmer et al, 1998). The current framework encompasses the full spectrum of such transformations, i.e. from the processing of |
| Dataset . | Source paper ref. . | Page . | Target paper ref. . | Context . |
|---|---|---|---|---|
| DBLP | Varadhan et al. (2006) | 7 | Varadhan et al. (2004) | we construct a roadmap in a deterministic fashion. Our goal is to sample the free space sufficiently to capture its connectivity. If we do not sample the free space adequately, we may not detect valid paths that pass through the narrow passages in the configuration space. In our prior work [=?=] we proposed a sampling algorithm to generate an octree grid for the purpose of topology preserving surface extraction. We use this sampling algorithm to capture the connectivity of free space. We provide a brief description of the octree generation algorithm. We refer the reader to [20] for a detailed |
| ACL | Lavoie et al. (2000) | 7 | Lavoie and Rainbow (1997) | History of the Framework and Comparison with Other Systems The framework represents a generalization of several predecessor NLG systems based on Meaning-Text Theory: FoG (Kittredge and 1991), LFS (Iordanskaja et al, 1992), and The framework was originally developed for the realization of deep-syntactic structures in NLG [=?=] It was later extended for generation of deep-syntactic structures from conceptual interlingua (Kittredge and Lavoie, 1998). Finally, it was applied to MT for transfer between deep-syntactic structures of different languages (Palmer et al, 1998). The current framework encompasses the full spectrum of such transformations, i.e. from the processing of |