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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 Using Universal Dependencies in cross-linguistic complexity research ... Berdicevskis, Aleksandrs; Çöltekin, Çağrı; Ehret, Katharina. - : Universität des Saarlandes, 2018 BASE Show details 2 Unifying dimensions in discourse relations. How various annotation frameworks are related. ... Sanders, Ted; Demberg, Vera; Hoek, Jet. - : De Gruyter, 2018 BASE Show details 3 Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification ... Shi, Wei; Yung, Frances; Demberg, Vera. - : arXiv, 2018 Abstract: Implicit discourse relation classification is one of the most challenging and important tasks in discourse parsing, due to the lack of connective as strong linguistic cues. A principle bottleneck to further improvement is the shortage of training data (ca.~16k instances in the PDTB). Shi et al. (2017) proposed to acquire additional data by exploiting connectives in translation: human translators mark discourse relations which are implicit in the source language explicitly in the translation. Using back-translations of such explicitated connectives improves discourse relation parsing performance. This paper addresses the open question of whether the choice of the translation language matters, and whether multiple translations into different languages can be effectively used to improve the quality of the additional data. ... : to appear on DISRPT@NAACL2019 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1808.10290 https://arxiv.org/abs/1808.10290 BASE Hide details

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