Methodology for connecting nouns to their modifying adjectives

Nir Ofek, Lior Rokach, Prasenjit Mitra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations


Adjectives are words that describe or modify other elements in a sentence. As such, they are frequently used to convey facts and opinions about the nouns they modify. Connecting nouns to the corresponding adjectives becomes vital for intelligent tasks such as aspect-level sentiment analysis or interpretation of complex queries (e.g., "small hotel with large rooms") for fine-grained information retrieval. To respond to the need, we propose a methodology that identifies dependencies of nouns and adjectives by looking at syntactic clues related to part-of-speech sequences that help recognize such relationships. These sequences are generalized into patterns that are used to train a binary classifier using machine learning methods. The capabilities of the new method are demonstrated in two, syntactically different languages: English, the leading language of international discourse, and Hebrew, whose rich morphology poses additional challenges for parsing. In each language we compare our method with a designated, state-of-the-art parser and show that it performs similarly in terms of accuracy while: (a) our method uses a simple and relatively small training set; (b) it does not require a language specific adaptation, and (c) it is robust across a variety of writing styles.

Original languageEnglish (US)
Title of host publicationComputational Linguistics and Intelligent Text Processing - 15th International Conference, CICLing 2014, Proceedings
PublisherSpringer Verlag
Number of pages14
EditionPART 1
ISBN (Print)9783642549052
StatePublished - 2014
Event15th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2014 - Kathmandu, Nepal
Duration: Apr 6 2014Apr 12 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume8403 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other15th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2014

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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