Taxo-Semantics : Assessing similarity between multi-word expressions for extending e-catalogs

Distributional Similarity of Multi-Word Expressions

Most existing systems for automatically extracting lexical-semantic resources neglect multi-word expressions (MWEs), even though approximately 30% of gold-standard thesauri entries are MWEs. We present a distributional similarity system that identifies synonyms for MWEs. We extend Grefenstette’s SEXTANT shallow parser to first identify bigram MWEs using collocation statistics from the Google WE...

Abbreviation Generation for Japanese Multi-Word Expressions

Assessing Sentence Similarity Using WordNet based Word Similarity

Sentence similarity assessment is key to most NLP applications. This paper presents a means of calculating the similarity between very short texts and sentences without using an external corpus of literature. This method uses WordNet, common-sense knowledge base and human intuition. Results were verified through experiments. These experiments were performed on two sets of selected sentence pair...

Phonological similarity in multi-word units Phonological similarity in multi-word units

In this paper, I investigate the phonological similarity of different elements of the phonological pole of multi-word units. I discuss two case studies on slightly different levels of abstractness. The first case study investigates lexically fully-specified V-NP idioms such as kick the bucket and lose one's cool; the idioms investigated are taken from the Collins Cobuild Dictionary of Idioms (2...

Detecting Compositionality in Multi-Word Expressions

Identifying whether a multi-word expression (MWE) is compositional or not is important for numerous NLP applications. Sense induction can partition the context of MWEs into semantic uses and therefore aid in deciding compositionality. We propose an unsupervised system to explore this hypothesis on compound nominals, proper names and adjective-noun constructions, and evaluate the contribution of...