By Neil C. Rowe
Synthetic Intelligence via Prolog ebook
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Extra resources for Artifical intelligence through Prolog
The prime ministers of India and Pakistan 1 will meet on Thursday at a regional summit in Bhutan, the Indian foreign ministry 2 has said. Manmohan Singh 3 and Yousuf Raza Gilani 4 have arrived in Bhutan for the two-day gathering of South Asian countries. The Indian official 5 said that the two leaders 6 will meet on the sidelines of the summit. He 7 gave no indication as to how long the talks would last or what would be on the agenda. 5: An example of text with expressions referring to people marked in brackets.
This chapter has sketched some examples. 2. Identify a scoring function over input-output pairs, and an algorithm that can find the maximum-scoring output given an input. Defining the function requires an understanding of the phenomena that serve as clues to the relationship between the input and the output, as well as the phenomena that make prediction challenging. Chapter 2 presents many kinds of algorithms, which we unify under the abstraction of decoding. 3. Determine what data can be used to learn to predict outputs from inputs, and apply a learning algorithm to tune the parameters of the scoring function.
Returning briefly to our running example of named entity labeling with two-label parts, it is straightforward to write constraints to make sure each part agrees with its neighbors. Consider the ith part, corresponding to yi , yi+1 . This part corresponds to eight elements of the vector z: zi,BB , zi,BI , zi,BO , zi,IB , zi,II , zi,IO , zi,OB , zi,OO First, we must constrain that only one of these values is equal to one. 20) Note that the above is a linear equation in z. 21) Note again that the above are linear equations.