Analysis and Refinement of Temporal Relation Aggregation
نویسندگان
چکیده
To obtain a complete temporal picture of a relation it is necessary to aggregate fragments of temporal information across relation instances in text. This process is non-trivial even for humans because temporal information can be imprecise and inconsistent, and systems face the additional challenge that each of their classifications is potentially false. Even a small amount of incorrect proposed temporal information about a relation can severely affect the resulting aggregate temporal knowledge. We motivate and evaluate three methods to modify temporal relation information prior to aggregation to address this challenge.
منابع مشابه
SOLUTION-SET INVARIANT MATRICES AND VECTORS IN FUZZY RELATION INEQUALITIES BASED ON MAX-AGGREGATION FUNCTION COMPOSITION
Fuzzy relation inequalities based on max-F composition are discussed, where F is a binary aggregation on [0,1]. For a fixed fuzzy relation inequalities system $ A circ^{F}textbf{x}leqtextbf{b}$, we characterize all matrices $ A^{'} $ For which the solution set of the system $ A^{' } circ^{F}textbf{x}leqtextbf{b}$ is the same as the original solution set. Similarly, for a fixed matrix $ A $, the...
متن کاملNon-refinement Transformations of Software Architectures
This paper deals with the refinement of software architectures. Using an example transformation of an architectural pattern from a call-return style to a batch-sequential one, it is shown that sometimes an advancement of a software architecture is not a correct refinement relation in the formal sense. However formal analysis may and should be used to argument about the changed and unchanged pro...
متن کاملAn input-oriented radial measure for returns to scale aggregation.
In production theory, it is necessary to be capable of predicting the production func- tion’s long-run behaviors. Hereof, returns to scale is a helpful concept. Returns to scale describes the reaction of a production function to the proportionally scaling all its input variables. In this regard, Data envelopment analysis (DEA) provides a com- prehensive framework for returns to scale evaluation...
متن کاملSTCS-GAF: Spatio-Temporal Compressive Sensing in Wireless Sensor Networks- A GAF-Based Approach
Routing and data aggregation are two important techniques for reducing communication cost of wireless sensor networks (WSNs). To minimize communication cost, routing methods can be merged with data aggregation techniques. Compressive sensing (CS) is one of the effective techniques for aggregating network data, which can reduce the cost of communication by reducing the amount of routed data to t...
متن کاملAnalysis of Temporal Vegetation Changes in Western Rangelands of Kerman Province Using MODIS Level 3 Data and its Relation to Climate Factors
Vegetation is one of the most important physical properties of the earth's surface that plays an important role in reducing the occurrence of wind erosion and reducing dust particulate matter emissions, especially in arid and semiarid regions. The extent of development or destruction of vegetation in an area is usually affected by climate change at different times. This study aimed to investiga...
متن کامل