On the Generation of Pragmatic Paraphrases for Dialogue Systems

L Pragst - 2023 - oparu.uni-ulm.de
Humans commonly use speech to convey their ideas and intentions to each other. And while
the meaning of individual words is mostly fixed, the intended meaning of a full sentence can …

Generate then refine: data augmentation for zero-shot intent detection

IF Lin, F Hasibi, S Verberne - arXiv preprint arXiv:2410.01953, 2024 - arxiv.org
In this short paper we propose a data augmentation method for intent detection in zero-
resource domains. Existing data augmentation methods rely on few labelled examples for …

Multilingual ESG News Impact Identification Using an Augmented Ensemble Approach

H Abburi, A Kumar, E Bowen… - Proceedings of the Joint …, 2024 - aclanthology.org
Determining the duration and length of a news event's impact on a company's performance
remains elusive for financial analysts. The complexity arises from the fact that the effects of …

An Exploration of Dialog Act Classification in Open-domain Conversational Agents and the Applicability of Text Data Augmentation

M Sultana - 2023 - era.library.ualberta.ca
Recognizing dialog acts of users is an essential component in building successful
conversational agents. In this work, we propose a dialog act (DA) classifier for two of our …

[PDF][PDF] Dataset Augmentation Using Back-Translation to Improve Early Stage Dialog Systems.

M Queudot, L Marceau, RM Belbahar, E Charton… - Canadian …, 2022 - assets.pubpub.org
As dialog systems are increasingly used, a major challenge for building new ones is the lack
of annotated training data. The necessary data collection and annotation efforts are …