Erratum: “Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment”

7.1 Details of inducing word representations The Brown clusters took roughly 3 days to induce, when we induced 1000 clusters, the baseline in prior work (Koo et al., 2008; Ratinov

To cope with the variety of information type and struc- ture and with the amount of available data, links between the reality of space regions and abstract data, inherent to map

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While generating the prepositional phrase corpus used in this study we paid special at- tention to derivative prepositions and functional phrases containing prepositions.. We

We calculate the vectors on 300K actual job postings on the Careerbuilder Website, using 6 different models (FastText, Word2Vec, Glove-6B-300 , Glove- 840B-300 [2,10,13], and

Having a pre-trained biLM (Bidirectional Language Model) with the architecture described above and a certain algorithm for solving the target problem of NLP it is sufficiently easy

This empirical study of a complex group of patients with multiple chronic concurrent conditions (diabetes, cardiovascular and kidney diseases) explores the use