/LING

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Lista de candidatos sometidos a examen:
1) metric (*)
(*) Términos presentes en el nuestro glosario de lingüística

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1) Candidate: metric

Is in goldstandard

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1
paper corpusSignosTxtLongLines177 - : BLEU is basically a precision metric: it measures which n-grams in the candidate answer appear in the references . In the case of scoring student's answers, we both want the answer to be correct and complete. Therefore, we have modified this metric to calculate as well the percentage of the references that is covered by the student's answer. To do that, the Brevity Factor is substituted by a Modified Brevity Penalty (MBP) calculated in the following way: for each reference, calculate the percentage of n-grams that is covered by the candidate text, and, next, we add up all those percentages. Figure 4 shows an example in which 5% of the first reference, 10% of the second one and 20% of the third one appears in the student's answer. Therefore, we can assume that 35% of a complete answer is covered by the candidate text. The results using this MBP clearly outperform those obtained using the original algorithm.

Evaluando al candidato metric:

1) covered: 3
2) candidate: 3

metric
Lengua: eng
Frec: 5
Docs: 4
Nombre propio: / 5 = 0%
Coocurrencias con glosario:
Puntaje: 1.062 = ( + (1+2.8073549220576) / (1+2.58496250072116)));
Rechazado: mal tf-df: 125;

Referencias bibliográficas encontradas sobre cada término

(Que existan referencias dedicadas a un término es también indicio de terminologicidad.)

metric

: Seco, N., Veale, T. & Hayes, J. (2004). An intrinsic information content metric for semantic similarity in WordNet. Proceedings of the 16th European Conference on Artificial Intelligence (pp. 1089-1090). Valencia.