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 113 (Doctors without Borders) — Constraint detection

The organization Doctors Without Borders has a list of doctors and a list of nurses , each of whom volunteered to go on one rescue mission in the next year . Each volunteer specifies a list of possible dates and each mission should include one doctor and one nurse . The task is to produce a list of pairs such that each pair includes a doctor and a nurse who are available on the same date and each volunteer appears in exactly one pair . Since the list of potential rescue missions at any given date is infinite , it does not matter how the doctor-nurse pairs are distributed among the different dates .

Problem 113 (Doctors without Borders) — Detection of the decisions and objects to be modeled

The organization Doctors Without Borders has a list of doctors and a list of nurses , each of whom volunteered to go on one rescue mission in the next year . Each volunteer specifies a list of possible dates and each mission should include one doctor and one nurse . The task is to produce a list of pairs such that each pair includes a doctor and a nurse who are available on the same date and each volunteer appears in exactly one pair . Since the list of potential rescue missions at any given date is infinite , it does not matter how the doctor-nurse pairs are distributed among the different dates .

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