@inproceedings{L16-1193,
 abstract = {We present an experimental study making use of a machine learning approach to identify the factors that affect the aspectual value that characterizes verbs under each of their readings. The study is based on various morpho-syntactic and semantic features collected from a French lexical resource and on a gold standard aspectual classification of verb readings designed by an expert. Our results support the tested hypothesis, namely that agentivity and abstractness influence lexical aspect.
},
 address = {Portorož, Slovenia},
 author = {Ingrid Falk and Fabienne Martin},
 booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
 month = {May},
 pages = {1212--1220},
 publisher = {European Language Resources Association (ELRA)},
 title = {Aspectual Flexibility Increases with Agentivity and Concreteness\\ A Computational Classification Experiment on Polysemous Verbs},
 url = {https://www.aclweb.org/anthology/L16-1193},
 year = {2016}
}