Abstract / Description of output
This paper introduces a task of identifying and semantically classifying lexical expressions in running text. We investigate the online reviews genre, adding semantic supersense annotations to a 55,000 word English corpus that was previously annotated for multiword expressions. The noun and verb supersenses apply to full lexical expressions, whether single- or multiword.
We then present a sequence tagging model that jointly infers lexical expressions
and their supersenses. Results show that even with our relatively small training corpus in a noisy domain, the joint task can be performed to attain 70% class labeling
We then present a sequence tagging model that jointly infers lexical expressions
and their supersenses. Results show that even with our relatively small training corpus in a noisy domain, the joint task can be performed to attain 70% class labeling
Original language | English |
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Title of host publication | A corpus and model integrating multiword expressions and supersenses |
Pages | 1537-1547 |
Number of pages | 11 |
Publication status | Published - 2015 |