Paraphrase Identification on the Basis of Supervised Machine Learning Techniques

Abstract. This paper presents a machine learning approach for paraphrase identification which uses lexical and semantic similarity information. In the experimental studies, we examine the limitations of the designed attributes and the behavior of three machine learning classifiers. With the objective to increase the final performance of the system, we scrutinize the influence of the combination of lexical and semantic information, as well as techniques for classifier combination.

• Type: Conference
• Year: 2006
• Where: FINTAL
• Authors: Zornitsa Kozareva, Andrés Montoyo
• Keywords: FINTAL 2006, Machine Learning, Machine Learning Approach, Natural Language Processing, Semantic Similarity Information