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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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Tweet Analytics for Political Position Estimation ; 12th IEEE International Conference on Cognitive Infocommuincations -- CogInfoCom2021
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Advanced Assistive Technologies for Elderly People: A Psychological Perspective on Seniors' Needs and Preferences (part B)
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The Influence of Personas' Gender in Design ; CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter
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Aspects of linguistic ageing in literary authors across time
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English Machine Reading Comprehension Datasets: A Survey ; Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
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Q. Can knowledge graphs be used to answer Boolean questions? A. It’s complicated!
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In: Dzendzik, Daria, Vogel, Carl orcid:0000-0001-8928-8546 and Foster, Jennifer orcid:0000-0002-7789-4853 (2020) Q. Can knowledge graphs be used to answer Boolean questions? A. It’s complicated! In: First Workshop on Insights from Negative Results in NLP, 10 Nov 2020, Online. (2020)
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Q. Can Knowledge Graphs be used to Answer Boolean Questions? A. It's complicated! ; First Workshop on Insights from Negative Results in NLP
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Vogel, Carl. - : Association for Computational Linguistics, 2020
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Synchrony in Human-Bonobo Dialog ; 11th IEEE International Conference on Cognitive Infocommunications
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An Evaluation Method for Diachronic Word Sense Induction ; "Findings of the Association for Computational Linguistics: EMNLP 2020
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Acoustic Features in Dialogue Dominate Accurate Personality Trait Classification ; 2020 IEEE International Conference on Human-Machine Systems (ICHMS)
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Abstract:
We report on experiments in identifying personality traits from the dialogue of participants in the MULTISIMO corpus. Experiments used audio and linguistic features from participants’ speech and transcripts, using both self- and ob-server personality reports. Contrary to our expectations that the linguistic content would best predict traits, the results highlight the multimodal nature of personality computing, suggesting that the content is less important than acoustics: except for two cases, models based on acoustic features only, or combined with linguistic features, outperform models based on linguistic features alone; results also show that there is no optimal choice of a single model or feature set for the prediction of a trait across personality reports, as different models work best for different traits.
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Keyword:
Big five traits; Data Analysis; Informant-assessment; Personality computing; Self-assessment
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URL: http://people.tcd.ie/vogel
http://hdl.handle.net/2262/93721
http://people.tcd.ie/koutsomm
https://doi.org/10.1109/ICHMS49158.2020.9209445
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Map Task Deviation Scores: A Reconstruction ; 11th IEEE International Conference on Cognitive Infocommunications
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Advanced Assistive Technologies for Elderly People: A Psychological Perspective on Seniors' Needs and Preferences (part A)
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Gender Effects in Mobile Application Development. ; 2020 IEEE International Conference on Human-Machine Systems
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Taking Offence ; {11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom2020)
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Advancing and Validating Models of Cognitive Architecture ; 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)
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Formulaic Thought and Expression in Linguistic Politeness ; Culture, Cognition, Discourse and Grammar: Cognitive Considerations on Formulaic Language
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Detecting linguistic change based on word co-occurrence patterns ; HistoInformatics 2017: International Workshop on Computational History 2017
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Linguistic and Behaviour Interaction Analysis within Cognitive Infocommunications ; 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)
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