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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 Page: 1 2 Hits 21 – 25 of 25 21 Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Tejas; Jin, Zhijing. - : Underline Science Inc., 2021 BASE Show details 22 Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines Murugesan, Keerthiram; Atzeni, Mattia; Kapanipathi, Pavan... In: http://infoscience.epfl.ch/record/288834 (2021) BASE Show details 23 Deep Clustering of Text Representations for Supervision-free Probing of Syntax ... Gupta, Vikram; Shi, Haoyue; Gimpel, Kevin. - : arXiv, 2020 BASE Show details 24 Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks Sachan, Mrinmaya; Dubey, Avinava; Hovy, Eduard H.... In: Computational Linguistics, Vol 45, Iss 4, Pp 627-665 (2020) (2020) BASE Show details 25 Discourse in Multimedia: A Case Study in Information Extraction ... Sachan, Mrinmaya; Dubey, Kumar Avinava; Hovy, Eduard H.; Mitchell, Tom M.; Roth, Dan; Xing, Eric P.. - : arXiv, 2018 Abstract: To ensure readability, text is often written and presented with due formatting. These text formatting devices help the writer to effectively convey the narrative. At the same time, these help the readers pick up the structure of the discourse and comprehend the conveyed information. There have been a number of linguistic theories on discourse structure of text. However, these theories only consider unformatted text. Multimedia text contains rich formatting features which can be leveraged for various NLP tasks. In this paper, we study some of these discourse features in multimedia text and what communicative function they fulfil in the context. We examine how these multimedia discourse features can be used to improve an information extraction system. We show that the discourse and text layout features provide information that is complementary to lexical semantic information commonly used for information extraction. As a case study, we use these features to harvest structured subject knowledge of geometry from ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1811.05546 https://dx.doi.org/10.48550/arxiv.1811.05546 BASE Hide details Page: 1 2

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