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05/31/2023
Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind
Dialogue participants may have varying levels of knowledge about the top...
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05/19/2023
Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis
We propose using automatically generated natural language definitions of...
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05/19/2023
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability
In Natural Language Generation (NLG) tasks, for any input, multiple comm...
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10/23/2022
Towards Pragmatic Production Strategies for Natural Language Generation Tasks
This position paper proposes a conceptual framework for the design of Na...
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10/15/2022
Construction Repetition Reduces Information Rate in Dialogue
Speakers repeat constructions frequently in dialogue. Due to their pecul...
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04/12/2022
Do Not Fire the Linguist: Grammatical Profiles Help Language Models Detect Semantic Change
Morphological and syntactic changes in word usage (as captured, e.g., by...
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09/21/2021
Grammatical Profiling for Semantic Change Detection
Semantics, morphology and syntax are strongly interdependent. However, t...
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11/09/2020
Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts
Dialogue participants often refer to entities or situations repeatedly w...
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04/30/2020
UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection
We apply contextualised word embeddings to lexical semantic change detec...
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04/29/2020
Analysing Lexical Semantic Change with Contextualised Word Representations
This paper presents the first unsupervised approach to lexical semantic ...
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08/24/2018
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information
How do neural language models keep track of number agreement between sub...
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08/13/2017