Summary of the paper
| Title | Evaluation of Simple Distributional Compositional Operations on Longer Texts |
|---|---|
| Authors | Tamara Polajnar, Laura Rimell and Stephen Clark |
| Abstract | Distributional semantic models have been effective at representing linguistic semantics at the word level, and more recently research has moved on to the construction of distributional representations for larger segments of text. However, it is not well understood how the composition operators that work well on short phrase-based models scale up to full-length sentences. In this paper we test several simple compositional methods on a sentence-length similarity task and discover that their performance peaks at fewer than ten operations. We also introduce a novel sentence segmentation method that reduces the number of compositional operations. |
| Topics | Semantics |
Full paper  |
Evaluation of Simple Distributional Compositional Operations on Longer Texts |
| Bibtex | @InProceedings{POLAJNAR14.110, author = {Tamara Polajnar and Laura Rimell and Stephen Clark}, title = {Evaluation of Simple Distributional Compositional Operations on Longer Texts}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |