Index of papers in Proc. ACL 2011 that mention
  • scoring function
Lang, Joel and Lapata, Mirella
Related Work
We operationalize these notions using a scoring function that quantifies the compatibility between arbitrary cluster pairs.
Split-Merge Role Induction
Besides being inefficient, it requires a scoring function with comparable scores for arbitrary pairs of clusters.
Split-Merge Role Induction
After each completion of the inner loop, the thresholds contained in the scoring function (discussed below) are adjusted and this is repeated until some termination criterion is met (discussed in Section 5.2.3).
Split-Merge Role Induction
5.2.2 Scoring Function
scoring function is mentioned in 6 sentences in this paper.
Topics mentioned in this paper:
Zhao, Xin and Jiang, Jing and He, Jing and Song, Yang and Achanauparp, Palakorn and Lim, Ee-Peng and Li, Xiaoming
Abstract
We propose a context-sensitive topical PageRank method for keyword ranking and a probabilistic scoring function that considers both relevance and interestingness of keyphrases for keyphrase ranking.
Experiments
We have proposed a context-sensitive topical PageRank method (cTPR) for the first step of keyword ranking, and a probabilistic scoring function for the third step of keyphrase ranking.
Method
While a standard method is to simply aggregate the scores of keywords inside a candidate keyphrase as the score for the keyphrase, here we propose a different probabilistic scoring function .
Method
tion (8) into Equation (3) and obtain the following scoring function for ranking:
Method
Our preliminary experiments with Equation (9) show that this scoring function usually ranks longer keyphrases higher than shorter ones.
scoring function is mentioned in 6 sentences in this paper.
Topics mentioned in this paper: