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GiCCS: A German in-Context Conversational Similarity Benchmark
The Semantic textual similarity (STS) task is commonly used to evaluate the semantic representations that language models (LMs) learn …
Shima Asaadi, Zahra Kolagar, Alina Liebel, Alessandra Zarcone
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Not So Fast, Classifier – Accuracy and Entropy Reduction in Incremental Intent Classification
Incremental intent classification requires the assignment of intent labels to partial utterances. However, partial utterances do not …
Lianna Hrycyk, Alessandra Zarcone, Luzian Hahn
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Not So Fast, Classifier – Accuracy and Entropy Reduction in Incremental Intent Classification
A bathtub by any other name: the reduction of German compounds in predictive contexts
The Uniform Information Density hypothesis (UID) predicts that lexical choice between long and short word forms depends on the …
Alessandra Zarcone, Vera Demberg
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A bathtub by any other name: the reduction of German compounds in predictive contexts
New Domain, Major Effort? How Much Data is Necessary to Adapt a Temporal Tagger to the Voice Assistant Domain
Reliable tagging of Temporal Expressions (TEs, e.g., Book a table at L’Osteria for Sunday evening) is a central requirement for Voice …
Touhidul Alam, Alessandra Zarcone, Sebastian Padó
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New Domain, Major Effort? How Much Data is Necessary to Adapt a Temporal Tagger to the Voice Assistant Domain
PÂTÉ: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain
The recognition and automatic annotation of temporal expressions (e.g. “Add an event for tomorrow evening at eight to my calendar”) is …
Alessandra Zarcone, Touhidul Alam, Zahra Kolagar
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PÂTÉ: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain
Inducing Script Structure from Crowdsourced Event Descriptions via Semi-Supervised Clustering
We present a semi-supervised clustering approach to induce script structure from crowdsourced descriptions of event sequences by …
Lilian D. A. Wanzare, Alessandra Zarcone, Stefan Thater, Manfred Pinkal
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Inducing Script Structure from Crowdsourced Event Descriptions via Semi-Supervised Clustering
DeScript: A Crowdsourced Corpus for the Acquisition of High-Quality Script Knowledge
Scripts are standardized event sequences describing typical everyday activities, which play an important role in the computational …
Lilian D. A. Wanzare, Alessandra Zarcone, Stefan Thater, Manfred Pinkal
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DeScript: A Crowdsourced Corpus for the Acquisition of High-Quality Script Knowledge
Same same but different: Type and typicality in a distributional model of complement coercion
We aim to model the results from a self-paced reading experiment, which tested the effect of semantic type clash and typicality on the …
Alessandra Zarcone, Sebastian Padó, Alessandro Lenci
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Same same but different: Type and typicality in a distributional model of complement coercion
Fitting, not clashing! A distributional semantic model of logical metonymy
Logical metonymy interpretation (e.g. begin the book → writing) has received wide attention in linguistics. Experimental results have …
Alessandra Zarcone, Alessandro Lenci, Sebastian Padó, Jason Utt
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The curious case of metonymic verbs: A distributional characterization
Logical metonymy combines an event-selecting verb with an entity-denoting noun (e.g., The writer began the novel), triggering a covert …
Jason Utt, Alessandro Lenci, Sebastian Padó, Alessandra Zarcone
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