Index of papers in Proc. ACL 2012 that mention
  • similarity measures
Liu, Shujie and Li, Chi-Ho and Li, Mu and Zhou, Ming
Conclusion and Future Work
In this paper, we only tried Dice coefficient of n-grams and symmetrical sentence level BLEU as similarity measures .
Conclusion and Future Work
In the future, we will explore other consensus features and other similarity measures , which may take document level information, or syntactic and semantic information into consideration.
Experiments and Results
Instead of using graph-based consensus confidence as features in the log-linear model, we perform structured label propagation (Struct-LP) to re-rank the n-best list directly, and the similarity measures for source sentences and translation candidates are symmetrical sentence level BLEU (equation (10)).
Features and Training
Tl(e,e') is the propagating probability in equation (8), with the similarity measure Sim(e,e') defined as the Dice coefficient over the set of all n-grams in e and those in e'.
Features and Training
defined in equation (3), takes symmetrical sentence level BLEU as similarity measure ]:
Features and Training
In theory we could use other similarity measures such as edit distance, string kernel.
Graph-based Structured Learning
wilj defines the weight of the edge, which is a similarity measure between nodes i and j.
Graph-based Structured Learning
Propagation probability TS (f, f ') is as defined in equation (3), and Tl(e,e') is defined given some similarity measure sim(e, 6') between labels 6 and
similarity measures is mentioned in 9 sentences in this paper.
Topics mentioned in this paper:
Liu, Chang and Ng, Hwee Tou
Discussion and Future Work
5.2 Fractional Similarity Measures
Discussion and Future Work
In contrast, the linear-programming based TESLA metric allows fractional similarity measures between 0 (completely unrelated) and l (exact synonyms).
Discussion and Future Work
Supporting fractional similarity measures is nontrivial in the TESLA-CELAB framework.
similarity measures is mentioned in 3 sentences in this paper.
Topics mentioned in this paper: