WikiRelate! Computing Semantic Relatedness Using Wikipedia
By Michael Strube, Simone Paolo Ponzetto. AAAI Conference on Artificial Intelligence, 2006
930 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/7c56100bd4b89735bf9332b79c12e54d9368e9ac
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Zhiyuan Liu
- Iryna Gurevych
- Evgeniy Gabrilovich
- Mohammad Taher Pilehvar
- Rada Mihalcea
- José Camacho-Collados
- Maosong Sun
- Torsten Zesch
Citations in the corpus
- Representation Learning for Measuring Entity Relatedness with Rich Information (2015, background): “It mainly focuses on calculating the information content of each category [Strube and Ponzetto, 2006].”
- Cross-lingual Semantic Relatedness Using Encyclopedic Knowledge (2009, background): “…language processing applications, including word sense disambiguation (Patwardhan et al., 2003), synonym identification (Turney, 2001), automated essay scoring (Foltz et al., 1999), malapropism detection (Budanitsky and Hirst, 2001), coreference resolution (Strube and Ponzetto, 2006), and others.”
- Exploiting Wikipedia as External Knowledge for Named Entity Recognition (2007, background): “In fact, many studies that try to exploit Wikipedia as a knowledge source have recently emerged (Bunescu and Pas¸ca, 2006; Toral and Mu˜noz, 2006; Ruiz-Casado et al., 2006; Ponzetto and Strube, 2006; Strube and Ponzetto, 2006; Zesch et al., 2007).”
- Deriving a Large-Scale Taxonomy from Wikipedia (2007, methodology): “In Strube & Ponzetto (2006) we proposed to take the Wikipedia categorization system as a semantic network which served as basis for computing the semantic relatedness of words.”
- Learning multilingual named entity recognition from Wikipedia (2013, background): “Wikipedia’s category hierarchy is a folksonomy [71], making it unsuitable for many semantic applications.”
- Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation (2015, unknown): “…classic similarity measures that do not utilize semantics or topic models and they were built on top of a thesaurus (e.g., Word-Net) or Wikipedia (McHale, 1998; Landauer et al., 1998; Strube and Ponzetto, 2006; Gabrilovich and Markovitch, 2007; Milne and Witten, 2008a; Cec-carelli et al., 2013).”
- Computing Semantic Relatedness Using Wikipedia-based Explicit Semantic Analysis (2007, background): “ESA also achieves much better results than the other Wikipedia-based method recently introduced [Strube and Ponzetto, 2006].”
- Automatic Evaluation of Topic Coherence (2010, methodology): “In the last few years, there has been a surge of interest in using Wikipedia to calculate semantic similarity, using the Wikipedia article content, in-article links and document categories (Strübe and Ponzetto, 2006; Gabrilovich and Markovitch, 2007; Milne and Witten, 2008).”
- Learning causality for news events prediction (2012, background): “connecting the two nodes representing the words [31, 37].”
- Using Wikipedia for Automatic Word Sense Disambiguation (2007, background): “…tasks with recently proposed solutions relying on Wikipedia are co-reference resolution us-ing Wikipedia-based measures of word similarity (Strube and Ponzetto, 2006), enhanced text classi-fication using encyclopedic knowledge (Gabrilovich and Markovitch, 2006), and the construction of…”
- Wikify!: linking documents to encyclopedic knowledge (2007, methodology): “Wikipedia has already been successfully used in several natural language processing applications [1, 3, 6, 27], and we believe that the automatic Wikipedia-style annotation of documents will prove useful in a number of text processing tasks such as e.”
- A word at a time: computing word relatedness using temporal semantic analysis (2011, methodology): “Vector space models based on this ontology have been used by many works for semantic relatedness [16, 32].”
- A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches (2009, unknown): “Method Source Spearman (Strube and Ponzetto, 2006) Wikipedia 0.”
- Learning-based Multi-Sieve Co-reference Resolution with Knowledge (2012, methodology): “We use Wikipedia differently from (Ponzetto and Strube, 2006) who focus on using WikiRelate, a Wikipedia-based relatedness metric (Strube and Ponzetto, 2006).”