Index of papers in Proc. ACL 2012 that mention
  • similarity score
Guo, Weiwei and Diab, Mona
Abstract
Sentence Similarity is the process of computing a similarity score between two sentences.
Evaluation for SS
A subset of 30 pairs is further selected by L106 to render the similarity scores evenly distributed.
Experiments and Results
The performance of WTMF on CDR is compared with (a) an Information Retrieval model (IR) that is based on surface word matching, (b) an n-gram model (N-gram) that captures phrase overlaps by returning the number of overlapping ngrams as the similarity score of two sentences, (c) LSA that uses svds() function in Matlab, and (d) LDA that uses Gibbs Sampling for inference (Griffiths and Steyvers, 2004).
Experiments and Results
Using a smaller wm means the similarity score is computed mainly from semantics of the observed words.
Experiments and Results
This benefits CDR, since it gives more accurate similarity scores for those similar pairs, but not so accurate for dissimilar pairs.
similarity score is mentioned in 5 sentences in this paper.
Topics mentioned in this paper:
Huang, Eric and Socher, Richard and Manning, Christopher and Ng, Andrew
Experiments
However, common to all datasets is that similarity scores are given to pairs of words in isolation.
Experiments
Single-prototype models would give the max similarity score for those pairs, which can be problematic depending on the words’ contexts.
Experiments
For evaluation, we also compute Spearman correlation between a model’s computed similarity scores and human judgments.
similarity score is mentioned in 3 sentences in this paper.
Topics mentioned in this paper: