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Proceedings of the 13th International Conference on Computational Semantics - Student Papers, 23–27 May 2019, Gothenburg, Sweden
- 2019
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Proceedings (redaktörskap) (övrigt vetenskapligt/konstnärligt)abstract
- The 13th International Conference on Computational Semantics (IWCS 2019) was held at the University of Gothenburg, Sweden on the 23-27th May 2019. IWCS is the bi-yearly meeting of SIGSEM, the ACL special interest group on semantics; this year's edition was hosted by the Centre of Linguistic Theory and Studies in Probability (CLASP) at the Department of Philosophy, Linguistics and Theory of Science (FLoV). The aim of the IWCS conference is to bring together researchers interested in any aspects of the computation, annotation, extraction, and representation of meaning in natural language, whether this is from a lexical or structural semantic perspective. IWCS embraces both symbolic and machine learning approaches to computational semantics, and everything in between.
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- Axelsson Nord, Ebba, et al.
(författare)
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What do you mean? Eliciting enthymemes in text-based dialogue
- 2021
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Ingår i: The 25th Workshop of the Semantics and Pragmatics of Dialogue, September 20–22, 2021, Potsdam / The Internet.. - 2308-2275.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- We report a proof of concept text-based chat study which inserts spoof questions in a real time conversation in order to elicit participants reasoning. The results show that different questions are more or less effective at elicit- ing explicit enthymematic reasons, which is a technique that could be employed to augment conversational artificial intelligence systems to improve their reasoning abilities.
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- Bernardy, Jean-Philippe, 1978, et al.
(författare)
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Can the Transformer Learn Nested Recursion with Symbol Masking?
- 2021
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Ingår i: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, August 1 - 6, 2021, Online / Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli (Editors). - Stroudsburg, PA : The Association for Computational Linguistics. - 9781954085541
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Konferensbidrag (refereegranskat)abstract
- We investigate if, given a simple symbol masking strategy, self-attention models are capable of learning nested structures and generalise over their depth. We do so in the simplest setting possible, namely languages consisting of nested parentheses of several kinds. We use encoder-only models, which we train to predict randomly masked symbols, in a BERT-like fashion. We find that the accuracy is well above random baseline, with accuracy consistently above 50% both when increasing nesting depth and distances between training and testing. However, we find that the predictions made correspond to a simple parenthesis counting strategy, rather than a push-down automaton. This suggests that self-attention models are not suitable for tasks which require generalisation to more complex instances of recursive structures than those found in the training set.
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- Carrion del Fresno, Andrea, et al.
(författare)
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Dialogue strategies for... cómo se dice entrenamiento de vocabulario?
- 2022
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Ingår i: Eleni Gregoromichelaki, Julian Hough & John D. Kelleher (eds.): Proceedings of the 26th Workshop On the Semantics and Pragmatics of Dialogue. - 2308-2275.
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Konferensbidrag (refereegranskat)abstract
- We carry out a small-scale empirical study of a dialogue strategy (conversational pattern) found in second language learner dialogues where a language-assisting teacher is present, allowing learners to pick up new words and train on them while maintaining a conversation. We also provide a formal model of the observed conversational pattern including several frequently occurring variants, as well as a demonstration implementation which is able to reproduce the most common variant of the pattern.
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- Dobnik, Simon, 1977, et al.
(författare)
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In Search of Meaning and Its Representations for Computational Linguistics
- 2022
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Ingår i: Proceedings of the 2022 CLASP Conference on (Dis)embodiment, Gothenburg and online 15–16 September 2022 / Simon Dobnik, Julian Grove and Asad Sayeed (eds.). - : Association for Computational Linguistics. - 2002-9764. - 9781955917674
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Konferensbidrag (refereegranskat)abstract
- In this paper we examine different meaning representations that are commonly used in different natural language applications today and discuss their limits, both in terms of the aspects of the natural language meaning they are modelling and in terms of the aspects of the application for which they are used.
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