Correct predictions are in blue. If we detect only a subset of a labelled sentence, we highlight the caught part as blue, the missing part light blue. False positives are in green and false negatives are in red.

Problem Opencast_Mining — Constraint detection

A company has obtained permission to opencast mine within a square plot 200 ft times 200 ft. The angle of slip of the soil is such that it is not possible for the sides of the excavation to be steeper than 45 degrees . The company has obtained estimates for the value of the ore in various places at various depths . Bearing in mind the restrictions imposed by the angle of slip , the company decides to consider the problem as one of the extracting of rectangular blocks . Each block has horizontal dimensions 50 ft times 50 ft and a vertical dimension of 25 ft. If the blocks are chosen to lie above one another , as illustrated in vertical section in Figure 12.4 , then it is only possible to excavate blocks forming an upturned pyramid . If the estimates of ore value are applied to give values -LRB- in percentage of pure metal -RRB- for each block in the maximum pyramid , which can be extracted , then a set of values are obtained and given in a table . The cost of extraction increases with depth . At successive levels , the cost of extracting a block is as follows : 3000 pounds -LRB- level 1 -RRB- , 6000 pounds -LRB- level 2 -RRB- , 8000 pounds -LRB- level 3 -RRB- , 10000 pounds -LRB- level 4 -RRB- . The revenue obtained from a `` 100 % value block '' would be 200000 pounds . For each block here , the revenue is proportional to ore value . Build a model to help decide the best blocks to extract . The objective is to maximise revenue-cost .

Problem Opencast_Mining — Detection of the decisions and objects to be modeled

A company has obtained permission to opencast mine within a square plot 200 ft times 200 ft. The angle of slip of the soil is such that it is not possible for the sides of the excavation to be steeper than 45 degrees . The company has obtained estimates for the value of the ore in various places at various depths . Bearing in mind the restrictions imposed by the angle of slip , the company decides to consider the problem as one of the extracting of rectangular blocks . Each block has horizontal dimensions 50 ft times 50 ft and a vertical dimension of 25 ft. If the blocks are chosen to lie above one another , as illustrated in vertical section in Figure 12.4 , then it is only possible to excavate blocks forming an upturned pyramid . If the estimates of ore value are applied to give values -LRB- in percentage of pure metal -RRB- for each block in the maximum pyramid , which can be extracted , then a set of values are obtained and given in a table . The cost of extraction increases with depth . At successive levels , the cost of extracting a block is as follows : 3000 pounds -LRB- level 1 -RRB- , 6000 pounds -LRB- level 2 -RRB- , 8000 pounds -LRB- level 3 -RRB- , 10000 pounds -LRB- level 4 -RRB- . The revenue obtained from a `` 100 % value block '' would be 200000 pounds . For each block here , the revenue is proportional to ore value . Build a model to help decide the best blocks to extract . The objective is to maximise revenue-cost .

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