Sekine, S. NYU system for Japanese NE - MET2. In Proceedings of the Seventh Message Understanding Conference (MUC-7) (1998).  Home/Search   Document Not in Database   Summary   Related Articles   Check

....x unique. In addition, a token could be tagged as other to indicate that it is not part of a named entity. For instance, we would tag the phrase [Jerry Lee Lewis flew to Paris] as [person start, person continue, person end, other, other, location unique] This approach is essentially the same as [7]. The 29 tags of MUC 7 form the space of futures for a maximum entropy formulation of our N.E. problem. A maximum entropy solution to this, or any other similar problem allows the computation of p(f jh) for any f from the space of possible futures, F , for every h from the space of possible ....

....2. Finally, we run a viterbi search to find the highest probability path through the lattice of conditional probabilities which doesn t produce any invalid tag sequences (for instance we can t produce the sequence [person start, location end] Further details on the viterbi search can be found in [7]. RESULTS MENE s maximum entropy training algorithm gives it reasonable performance with moderate sized training corpora or few information sources, while allowing it to really shine when more training data and information sources are added. Table 2 shows MENE s performance on the within domain ....

Sekine, S. Nyu system for japanese ne - met2. In Proceedings of the Seventh Message Understanding Conference (MUC-7) (1998).

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Sekine, S. NYU system for Japanese NE - MET2. In Proceedings of the Seventh Message Understanding Conference (MUC-7) (1998).

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