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ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities
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In: ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22) ; https://hal-universite-paris-saclay.archives-ouvertes.fr/hal-03650618 ; 2022 (2022)
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FedQAS: Privacy-Aware Machine Reading Comprehension with Federated Learning
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In: Applied Sciences; Volume 12; Issue 6; Pages: 3130 (2022)
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A Dynamic Attention and Multi-Strategy-Matching Neural Network Based on Bert for Chinese Rice-Related Answer Selection
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In: Agriculture; Volume 12; Issue 2; Pages: 176 (2022)
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Translate Wisely! An Evaluation of Close and Adaptive Translation Procedures in an Experiment Involving Questionnaire Translation
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In: International journal of sociology ; 51 ; 2 ; 135-162 (2022)
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Perspective de la grammaire générative sur l’anaphore
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In: Corela, Vol 35 (2022) (2022)
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Narrow scoping content question items in shifty contexts: A case of surprising non-quotation in Uyghur
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In: Proceedings of the Linguistic Society of America; Vol 7, No 1 (2022): Proceedings of the Linguistic Society of America; 5235 ; 2473-8689 (2022)
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Quantifying semantic and pragmatic effects on scalar diversity
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In: Proceedings of the Linguistic Society of America; Vol 7, No 1 (2022): Proceedings of the Linguistic Society of America; 5216 ; 2473-8689 (2022)
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Preservice teacher’s purposeful questioning : a descriptive case study of elementary mathematics preservice teachers.
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English machine reading comprehension: new approaches to answering multiple-choice questions
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Dzendzik, Daria. - : Dublin City University. School of Computing, 2021. : Dublin City University. ADAPT, 2021
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In: Dzendzik, Daria (2021) English machine reading comprehension: new approaches to answering multiple-choice questions. PhD thesis, Dublin City University. (2021)
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Unsupervised Morphological Segmentation and Part-of-Speech Tagging for Low-Resource Scenarios
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The information-structural status of adjuncts: A QUD-based approach
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In: Discours ; https://halshs.archives-ouvertes.fr/halshs-03520607 ; Discours, 2021, 28 (2021)
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The Role of the Auditory and Visual Modalities in the Perceptual Identification of Brazilian Portuguese Statements and Echo Questions
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In: ISSN: 0023-8309 ; Language and Speech ; https://hal.archives-ouvertes.fr/hal-02456308 ; Language and Speech, SAGE Publications (UK and US), 2021, 64 (1), pp.3-23. ⟨10.1177/0023830919898886⟩ ; https://journals.sagepub.com/doi/pdf/10.1177/0023830919898886 (2021)
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A Multimodal Approach to the Discursive Construction of Stances in Political Debates in Hong Kong
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Geographic Question Answering with Spatially-Explicit Machine Learning Models
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Neural Question Answering Models with Broader Knowledge Scope and Deeper Reasoning Power
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Exploiting multimodality and structure in world representations ...
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Experiment 1 - QUD distribution ...
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Abstract:
This study investigates which questions are expected to be addressed in a discourse context and how the expectedness of a question differs depending on when the question has been raised. Tönnis (2021) proposed that at each stage of a discourse an expectedness value can be assigned to each possible question which represents how strongly the addressee expects this question to be addressed given the context. Furthermore, she claims that the expectedness value of a question is particularly strong right after the question has been raised and decreases when the discourse proceeds. In the experiment, we ask participants to judge for different questions how strongly they expect the next sentence to address the respective question. The experiment has two conditions: In condition 1, the participants read one context sentence which raises a question Q1. Condition 2 is identical to condition 1 plus two additional context sentences after the first sentence. The expectedness rating for Q1 is collected, among other ...
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Keyword:
discourse analysis; Discourse and Text Linguistics; FOS Languages and literature; Linguistics; Question under discussion; Semantics and Pragmatics; Social and Behavioral Sciences
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URL: https://dx.doi.org/10.17605/osf.io/sb8d7 https://osf.io/sb8d7/
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