The GREC-MSR task is to generate appropriate references to an entity in the context of a piece of discourse longer than a sentence. In MSR ’09 run of this task, the main aim is to select the actual main subject reference (MSR) from a list of given referential expressions that is appropriate in context. We used a machine learning approach augmented with some rules to select the most appropriate ...

This paper presents an overview of the broad-coverage, application-independent natural language generation component of the NLP system being developed at Microsoft Research. It demonstrates how this component functions within a multilingual Machine Translation system (MSR-MT), using the languages that we are currently working on (English, Spanish, Japanese, and Chinese). Section 1 provides a sy...

Regulation of macrophage scavenger receptor (MSR) activity may be an important determinant of the extent of atherogenesis. The effect of macrophage-colony-stimulating factor (M-CSF) on this pathway was studied using a recently developed monoclonal antibody to murine MSR. M-CSF markedly and selectively increased MSR synthesis in murine macrophages: posttranslationally, the receptor appeared more...

In this paper, we present a Chinese word segmentation system which is consisted of four components, i.e. basic segmentation, named entity recognition, error-driven learner and new word detector. The basic segmentation and named entity recognition, implemented based on conditional random fields, are used to generate initial segmentation results. The other two components are used to refine the re...

In this paper, signed-rank based nonparametric detectors are used for pseudonoise (PN) code acquisition in direct-sequence spread-spectrum (DS/SS) systems. We first derive the locally optimum rank (LOR) detector and then propose the locally suboptimum rank (LSR) and modified signed-rank (MSR) detectors using approximate score functions. We compare the single-dwell scheme without the verificatio...

We describe MSR-MT, a large-scale example-based machine translation system under development for several language pairs. Trained on aligned English-Spanish technical prose, a blind evaluation shows that MSR-MT’s integration of rule-based parsers, example based processing, and statistical techniques produces translations whose quality in this domain exceeds that of uncustomized commercial MT sys...

We consider multiple simple recourse (MSR) models, both continuous and integer versions, which generalize the corresponding simple recourse (SR) models by allowing for a refined penalty cost structure for individual shortages and surpluses. It will be shown that (convex approximations of) such MSR models can be represented as explicitly specified continuous SR models, and thus can be solved eff...

We demonstrate multiagent control of modular selfreconfigurable (MSR) robots for object manipulation tasks and show how it provides a useful programming abstraction. Such robots consist of many modules that can move relative to each other and change their connectivity, thereby changing the robot’s overall shape to suit different tasks. We illustrate this approach through simulation experiments ...

Dual recycling is the combination of signal recycling and power recycling; both optical techniques improve the shot-noise-limited sensitivity of interferometric gravitational-wave detectors. In addition, signal recycling can reduce the loss of light power due to imperfect interference and allows, in principle, to beat the standard quantum limit. The interferometric gravitational-wave detector G...