An Open-source Framework for Multi-level Semantic Similarity Measurement
Mohammad Taher Pilehvar, Roberto Navigli · 2015
We present an open source, freely available Java implementation of Align, Disambiguate, and Walk (ADW), a state-of-the-art approach for measuring semantic similarity based on the Personalized PageRank algorithm.A pair of linguistic items, such as phrases or sentences, are first disambiguated using an alignment-based disambiguation technique and then modeled using random walks on the WordNet graph.ADW provides three main advantages: (1) it is applicable to all types of linguistic items, from word senses to texts;(2) it is all-in-one, i.e., it does not need any additional resource, training or tuning; and(3) it has proven to be highly reliable at different lexical levels and multiple evaluation benchmarks.We are releasing the source code at https://github.com/pilehvar/adw/.We also provide at http://lcl.uniroma1.it/adw/a Web interface and a Java API that can be seamlessly integrated into other NLP systems requiring semantic similarity measurement.