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Random Manhattan Integer Indexing: Incremental L1 Normed Vector Space Construction
(2014)
Vector space models (VSMs) are mathematically well-defined frameworks that have been widely used in the distributional approaches to semantics. In VSMs, high-dimensional vectors represent linguistic entities. In an ...
The ACL RD-TEC: A Dataset for Benchmarking Terminology Extraction and Classification in Computational Linguistics
(2014)
This paper introduces ACL RD-TEC: a dataset for evaluating the extraction and classification of terms from literature in the domain of computational linguistics. The dataset is derived from the Association for Computational ...
Cardamom: Comparative deep models for minority and historical languages
(Language Technologies for All (LT4All), 2019-12-05)
This paper gives an overview of the Cardamom project, which aims to close the resource gap for minority and under-resourced languages
by means of deep-learning-based natural language processing (NLP) and exploiting ...