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1
An Investigation of Partition-Based and Phonetically-Aware Acoustic Features for Continuous Emotion Prediction from Speech
Huang, Z; Epps, J. - 2020
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2
Artificial intelligence and indigenous perspectives: Protecting and empowering intelligent human beings
Maitra, Suvradip. - : Association for Computing Machinery, Inc, 2020
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3
Explaining short-term memory phenomena with an integrated episodic/semantic framework of long-term memory
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4
Double responding: a new constraint for models of speeded decision making
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5
The “Small World of Words” English word association norms for over 12,000 cue words
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6
Joint modeling of users, questions and answers for answer selection in CQA
Abstract: In this paper, we propose solutions to advance answer selection in Community Question Answering (CQA). Automatically selecting correct answers can significantly improve intelligence for CQA, as users are not required to browse the large quantity of texts and select the right answers manually. Also, automatic answers selection can minimize the time for satisfying users seeking the correct answers and maximize user engagement with the site. Unlike previous works, we propose a hybrid attention mechanism to model question-answer pairs. Specifically, for each word, we calculate the intra-sentence attention indicating its local importance and the inter-sentence attention implying its importance to the counterpart sentence. The inter-sentence attention is based on the interactions between question-answer pairs, and the combination of these two attention mechanisms enables us to align the most informative parts in question-answer pairs for sentence matching. Additionally, we exploit user information for answer selection due to the fact that users are more likely to provide correct answers in their areas of expertise. We model users from their written answers to alleviate data sparsity problem, and then learn user representations according to the informative parts in sentences that are useful for question-answer matching task. This mean of modelling users can bridge the semantic gap between different users, as similar users may have the same way of wording their answers. The representations of users, questions and answers are learnt in an end-to-end neural network in a mean that best explains the interrelation between question-answer pairs. We validate the proposed model on a public dataset, and demonstrate its advantages over the baselines with thorough experiments.
Keyword: 1702 Artificial Intelligence; 1706 Computer Science Applications; 2200 Engineering; Answer selection; Attentive neural network; User modelling
URL: https://espace.library.uq.edu.au/view/UQ:b401273
https://espace.library.uq.edu.au/view/UQ:b401273/UQb401273_OA.pdf
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7
Agile domain adaptation
Li, Jingjing; Jing, Mengmeng; Xie, Yue. - : Institute of Electrical and Electronics Engineers, 2019
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8
Implementation guidelines for an automated grading tool to assess short answer questions on digital circuit design course
Ahmed, Beena; Kagita, Mohan; Wijenayake, Chamith Abewardana. - : Institute of Electrical and Electronics Engineers, 2019
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9
Diffusing the bilingual lexicon: Task-based and lexical components of language switch costs
Ong, Gabriel; McKague, Meredith; Weekes, Brendan. - : Academic Press, 2019
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10
Juggling identities in interviews: the metapragmatics of ‘doing humour’
Sinkeviciute, Valeria. - : Elsevier BV, 2019
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11
“The apology seemed (in)sincere”: Variability in perceptions of (im)politeness
Haugh, Michael; Melody Chang, Wei-Lin. - : Elsevier, 2019
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12
Editorial: “Quo Vadis, Pragmatics?”
Terkourafi, Marina; Haugh, Michael. - : Elsevier, 2019
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13
The interplay between humour and identity construction: From humorous identities to identities constructed through humorous practices
Sinkeviciute, Valeria. - : Elsevier B.V., 2019
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14
Detecting and visualizing context and stress via a fuzzy rule-based system during commuter driving
Dobbins, Chelsea; Fairclough, Stephen. - : Institute of Electrical and Electronic Engineers (IEEE), 2019
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15
Conversational lapses and laughter: towards a combinatorial approach to building collections in conversation analysis
Haugh, Michael; Musgrave, Simon. - : Elsevier, 2019
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16
Adding types, but not tokens, affects the breadth of property induction ; COGSCI 2018 Proceedings
Xie, B; Hayes, BK; Navarro, D. - : Cognitive Science Society, 2018
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17
When Extremists Win: Cultural Transmission Via Iterated Learning When Populations Are Heterogeneous
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18
Distant supervision for neural relation extraction integrated with word attention and property features
Qu, Jianfeng; Ouyang, Dantong; Hua, Wen. - : Pergamon Press, 2018
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19
Hybrid attentive answer selection in CQA with deep users modelling
Wen, Jiahui; Ma, Jingwei; Feng, Yiliu. - : AAAI Press, 2018
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20
Flipping your classroom: A methodology for successful flipped classrooms
Isaias, Pedro. - : IADIS Press, 2018
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