Abstract
This paper addresses vector space models of prepositions, a notoriously ambiguous word class. We propose a rank-based distance measure to explore the vector-spatial properties of the ambiguous objects, focusing on two research tasks: (i) to distinguish polysemous from monosemous prepositions in vector space; and (ii) to determine salient vector-space features for a classification of preposition senses. The rank-based measure predicts the polysemy vs. monosemy of prepositions with a precision of up to 88%, and suggests preposition-subcategorised nouns as more salient preposition features than preposition-subcategorising verbs.- Anthology ID:
- L14-1483
- Volume:
- Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
- Month:
- May
- Year:
- 2014
- Address:
- Reykjavik, Iceland
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 4459–4466
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/599_Paper.pdf
- DOI:
- Cite (ACL):
- Maximilian Köper and Sabine Schulte im Walde. 2014. A Rank-based Distance Measure to Detect Polysemy and to Determine Salient Vector-Space Features for German Prepositions. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4459–4466, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- A Rank-based Distance Measure to Detect Polysemy and to Determine Salient Vector-Space Features for German Prepositions (Köper & Schulte im Walde, LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/599_Paper.pdf