CECL: a new baseline and a non-compositional approach for the Sick benchmark
(2014) SemEval 2014 : The 8th International Workshop on Semantic Evaluation
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- Abstract
- This paper describes the two procedures for determining the semantic similarities between sentences submitted for the Se- mEval 2014 Task 1. MeanMaxSim, an unsupervised procedure, is proposed as a new baseline to assess the efficiency gain provided by compositional models. It out- performs a number of other baselines by a wide margin. Compared to the word- overlap baseline, it has the advantage of taking into account the distributional simi- larity between words that are also involved in compositional models. The second procedure aims at building a predictive model using as predictors MeanMaxSim and (transformed) lexical features describ- ing the differences between each sentence of a pair. It finished sixth out of 17 teams in the textual similarity sub-task and sixth out of 19 in the textual entailment sub- task.
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Bestgen, Y. (2014). CECL: a new baseline and a non-compositional approach for the Sick benchmark. Proceedings of SemEval 2014 : The 8th International Workshop on Semantic Evaluation, p. 160-165. https://hdl.handle.net/2078.5/230311