Sentence Similarity Learning by Lexical Decomposition and Composition

COLING 2016 Zhiguo WangHaitao MiAbraham Ittycheriah

Most conventional sentence similarity methods only focus on similar parts of two input sentences, and simply ignore the dissimilar parts, which usually give us some clues and semantic meanings about the sentences. In this work, we propose a model to take into account both the similarities and dissimilarities by decomposing and composing lexical semantics over sentences... (read more)

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Evaluation results from the paper

Task Dataset Model Metric name Metric value Global rank Compare
Question Answering WikiQA LDC MAP 0.7058 # 5
Question Answering WikiQA LDC MRR 0.7226 # 5