Georgia Tech at NAACL 201626 יוני, 2016 בשעה 13:31 | פורסם באקדמיה | כתיבת תגובה
(Original author: Jacob Eisenstein)
Georgia Tech had three papers at this year's meeting of the North American Association for Computational Linguistics (NAACL).
Yangfeng Ji (who is on his way to a postdoc at University of Washington after successfully defending his thesis in May!) presented a full paper entitled, A Latent Variable Recurrent Neural Network for Discourse Relation Language Models, which he co-authored with Gholamreza Haffari and me. This paper described a hybrid neural/latent variable architecture for incorporating shallow (PDTB-style) discourse relations into language models. The method improves language modeling as well as discourse relation classification. The paper is based on our work at the JSALT workshop last summer, and we hope to use the method to integrate discourse into multi-sentence generation tasks, such as summarization and machine translation.
Yi Yang presented another full paper, Part-of-Speech Tagging for Historical English. In this paper, we evaluated a number of approaches for accurately tagging the syntax of early modern English texts…
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