Knowledge processing on an extended wordnet

By Sanda M. Harabagiu, Dan I. Moldovan. 1998

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yoshua Bengio
2. Jason Aaron Edward Weston
3. Antoine Bordes
4. Kyunghyun Cho
5. Mohit Bansal
6. Quoc V. Le
7. Yonatan Belinkov
8. Ruslan Salakhutdinov

Citations in the corpus

• A semantic matching energy function for learning with multi-relational data (2013, methodology): “EXtended WordNet (XWN) XWN (Harabagiu and Moldovan 2002) is built from WordNet glosses, syntactically parsed and with content words semantically linked to WN synsets.”
• Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection (2017, background): “…entailment The “is-a” hierarchy of WordNet (Fellbaum, 1998) is a prominent source of information for unsupervised detection of hypernymy and entailment (Harabagiu and Moldovan, 1998; Shwartz et al., 2015), as well as a source of various datasets (Baroni and Lenci, 2011; Baroni et al., 2012).”
• Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing (2012, methodology): “Word Sense Disambiguation Performance on WSD is assessed on two test sets: the XWN test set and a subset of English All-words WSD task of SensEval-3.”