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Shapley Idioms: Analysing BERT Sentence Embeddings for General Idiom Token Identification
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In: Front Artif Intell (2022)
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Poisoning Knowledge Graph Embeddings via Relation Inference Patterns ...
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Poisoning Knowledge Graph Embeddings via Relation Inference Patterns ...
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Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods ...
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Style versus Content: A distinction without a (learnable) difference?
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In: International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03112354 ; International Conference on Computational Linguistics, Dec 2020, Virtual, Spain (2020)
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Language-Driven Region Pointer Advancement for Controllable Image Captioning ...
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English WordNet Taxonomic Random Walk Pseudo-Corpora
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In: Conference papers (2020)
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Language-Driven Region Pointer Advancement for Controllable Image Captioning
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In: Conference papers (2020)
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Local Alignment of Frame of Reference Assignment in English and Swedish Dialogue
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In: Conference papers (2020)
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Abstract:
In this paper we examine how people assign, interpret, negotiate and repair the frame of reference (FoR) in online text-based dialogues discussing spatial scenes in English and Swedish. We describe our corpus and data collection which involves a coordination experiment in which dyadic dialogue participants have to identify differences in their picture of a visual scene. As their perspectives of the scene are different, they must coordinate their FoRs in order to complete the task. Results show that participants do not align on a global FoR, but tend to align locally, for sub-portions (or particular conversational games) in the dialogue. This has implications for how dialogue systems should approach problems of FoR assignment – and what strategies for clarification they should implement.
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Keyword:
alignment; computational models; Computer Sciences; dialogue; frame of reference; Linguistics; spatial descriptions
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URL: https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1000&context=adaptcon https://arrow.tudublin.ie/adaptcon/1
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Synthetic, Yet Natural: Properties of WordNet Random Walk Corpora and the impact of rare words on embedding performance
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In: Conference papers (2019)
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Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings
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In: Articles (2019)
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TEST: A terminology extraction system for technology related terms
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In: Conference papers (2019)
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Modular Mechanistic Networks: On Bridging Mechanistic and Phenomenological Models with Deep Neural Networks in Natural Language Processing ...
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What is not where: the challenge of integrating spatial representations into deep learning architectures ...
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Is it worth it? Budget-related evaluation metrics for model selection ...
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Is it worth it? Budget-related evaluation metrics for model selection
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In: Conference papers (2018)
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Exploring the Functional and Geometric Bias of Spatial Relations Using Neural Language Models
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In: Conference papers (2018)
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Idiom Type Identification with Smoothed Lexical Features and a Maximum Margin Classifier ...
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