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A bathtub by any other name: the reduction of German compounds in predictive contexts
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Recognition of Minimal Pairs in (un)predictive Sentence Contexts in two Types of Noise
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Pragmatics of Metaphor Revisited: Formalizing the Role of Typicality and Alternative Utterances in Metaphor Understanding
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Time-Aware Ancient Chinese Text Translation and Inference ...
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Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors ...
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Mishearing as a Side Effect of Rational Language Comprehension in Noise
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In: Front Psychol (2021)
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Semantic Predictability Facilitates Comprehension of Degraded Speech in a Graded Manner
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In: Front Psychol (2021)
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The online processing of causal and concessive discourse connectives
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Addressing the data bottleneck in implicit discourse relation classification
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Shi, Wei. - : Saarländische Universitäts- und Landesbibliothek, 2020
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How speakers adapt object descriptions to listeners under load
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Coherence relations in discourse and cognition : comparing approaches, annotations and interpretations
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Using Universal Dependencies in cross-linguistic complexity research ...
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Unifying dimensions in discourse relations. How various annotation frameworks are related. ...
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Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification ...
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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 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1808.10290 https://arxiv.org/abs/1808.10290
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G-TUNA: a corpus of referring expressions in German, including duration information
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