期刊名称:Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度:2017
卷号:2017
页码:388-393
语种:English
出版社:ACL Anthology
摘要:We put forward an approach that exploits the knowledge encoded in lexical resources in order to induce representations for words that were not encountered frequently during training. Our approach provides an advantage over the past work in that it enables vocabulary expansion not only for morphological variations, but also for infrequent domain specific terms. We performed evaluations in different settings, showing that the technique can provide consistent improvements on multiple benchmarks across domains.