Robust Semantic Construction
نویسنده
چکیده
Michael Schiehlen Institute for Computational Linguistics, University of Stuttgart, Azenbergstr. 12, 70174 Stuttgart [email protected]
منابع مشابه
Semantic Composition with (Robust) Minimal Recursion Semantics
We discuss semantic composition in Minimal Recursion Semantics (MRS) and Robust Minimal Recursion Semantics (RMRS). We demonstrate that a previously defined formal algebra applies to grammar engineering across a much greater range of frameworks than was originally envisaged. We show how this algebra can be adapted to composition in grammar frameworks where a lexicon is not assumed, and how this...
متن کاملA Budgeting Model for the Safety Unit of an Under Construction Metro Station in Tehran Using a Robust Optimization
Background: The construction of metro lines is a high-risk project. Using a budget-based model for the safety units of metro construction projects can help safety managers to spend optimal budget allocation. The purpose of this study was to plan a budget model based on safety unit performance in an under construction metro station for better budget allocation using robust optimization. Methods...
متن کاملPutting Pieces Together: Combining FrameNet, VerbNet and WordNet for Robust Semantic Parsing
This paper describes our work in integrating three different lexical resources: FrameNet, VerbNet, and WordNet, into a unified, richer knowledge-base, to the end of enabling more robust semantic parsing. The construction of each of these lexical resources has required many years of laborious human effort, and they all have their strengths and shortcomings. By linking them together, we build an ...
متن کاملOptimization of rotor shaft shrink fit method for motor using “Robust design”
This research is collaborative investigation with the general-purpose motor manufacturer. To review construction method in production process, we applied the parameter design method of quality engineering and tried to approach the optimization of construction method. Conventionally, press-fitting method has been adopted in process of fitting rotor core and shaft which is main component of motor...
متن کاملLatent semantic learning with structured sparse representation for human action recognition
This paper proposes a novel latent semantic learning method for extracting high-level latent semantics from a large vocabulary of abundant mid-level features (i.e. visual keywords) with structured sparse representation, which can help to bridge the semantic gap in the challenging task of human action recognition. To discover the manifold structure of mid-level features, we develop a graph-based...
متن کامل