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Connective Comprehension: An individual differences study ...
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Abstract:
This study aims to investigate: (1) whether differences in how well people understand the meaning and intended use of English connectives are dependent on connective-internal features such as perceived difficulty and written frequency, and (2) whether any individual variation between participants can be explained by participants’ linguistic experience, word knowledge, non-verbal IQ, and intrinsic motivation. To answer the first question, participants take part in a coherence judgment test, for which they will be asked to rate on a scale of 5 the coherence of sentences with connectives that either match the intended relation (coherent condition) or express a different relation (i.e. doesn't match the item; incoherent condition). There are two steps for every item: in the first step, participants see the item without a connective and are asked to type a connective. This step is to encourage participants to infer the intended meaning based on the two relational arguments. In the second step, they see the same ...
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Keyword:
connective comprehension; Discourse and Text Linguistics; discourse relations; FOS Languages and literature; individual differences; linguistic experience; Linguistics; logical reasoning; Social and Behavioral Sciences
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URL: https://dx.doi.org/10.17605/osf.io/hymgu
https://osf.io/hymgu/
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| 6 |
Considering Commonsense in Solving QA: Reading Comprehension with Semantic Search and Continual Learning
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4099 (2022)
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| 7 |
Re-Evaluating Early Memorization of the Qurʾān in Medieval Muslim Cultures
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In: Religions; Volume 13; Issue 2; Pages: 179 (2022)
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| 8 |
Knowledge Representation and Reasoning with an Extended Dynamic Uncertain Causality Graph under the Pythagorean Uncertain Linguistic Environment
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4670 (2022)
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| 9 |
A Deep Fusion Matching Network Semantic Reasoning Model
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In: Applied Sciences; Volume 12; Issue 7; Pages: 3416 (2022)
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| 10 |
OntoDomus: A Semantic Model for Ambient Assisted Living System Based on Smart Homes
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In: Electronics; Volume 11; Issue 7; Pages: 1143 (2022)
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| 11 |
Is Early Bilingual Experience Associated with Greater Fluid Intelligence in Adults?
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In: Languages; Volume 7; Issue 2; Pages: 100 (2022)
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| 12 |
Design of an Artificial Intelligence of Things Based Indoor Planting Model for Mentha Spicata
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In: Processes; Volume 10; Issue 1; Pages: 116 (2022)
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| 13 |
Formalization of AMR Inference via Hybrid Logic Tableaux ...
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| 15 |
Child Social Understanding: How Theory of Mind Development is Influenced by Socio-Cultural Factors
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| 16 |
Neural-based Knowledge Transfer in Natural Language Processing
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| 17 |
Ranking Semantics for Argumentation Systems With Necessities
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In: IJCAI 2020 - 29th International Joint Conference on Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-03002056 ; IJCAI 2020 - 29th International Joint Conference on Artificial Intelligence, Jan 2021, Yokohama / Virtual, Japan. pp.1912-1918, ⟨10.24963/ijcai.2020/265⟩ (2021)
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| 18 |
Ontological Formalisation of Mathematical Equations for Phenomic Data Exploitation
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In: The Semantic Web: ESWC 2021 Satellite Events ; https://hal.inrae.fr/hal-03408000 ; Ruben Verborgh; Anastasia Dimou; Aidan Hogan; Claudia d'Amato; Ilaria Tiddi; Arne Bröring; Simon Mayer; Femke Ongenae; Riccardo Tommasini; Mehwish Alam. The Semantic Web: ESWC 2021 Satellite Events, 12739, Springer International Publishing, pp.176-185, 2021, Lecture Notes in Computer Science, 978-3-030-80417-6. ⟨10.1007/978-3-030-80418-3_30⟩ (2021)
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| 19 |
Multimodal Conversation Modeling via Neural Perception, Structure Learning, and Communication
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| 20 |
How Do Language Intensity and Artificial Intelligence (AI) Affect Perceptions of Fact-checking Messages and Evaluations of Fact-checking Agencies?
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Xue, Haoning. - : eScholarship, University of California, 2021
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