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Computer Science > Computation and Language

arXiv:2304.13292 (cs)
[Submitted on 26 Apr 2023]

Title:Zero-Shot Slot and Intent Detection in Low-Resource Languages

Authors:Sang Yun Kwon, Gagan Bhatia, El Moatez Billah Nagoudi, Alcides Alcoba Inciarte, Muhammad Abdul-Mageed
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Abstract:Intent detection and slot filling are critical tasks in spoken and natural language understanding for task-oriented dialog systems. In this work we describe our participation in the slot and intent detection for low-resource language varieties (SID4LR; Aepli et al. (2023)). We investigate the slot and intent detection (SID) tasks using a wide range of models and settings. Given the recent success of multitask-prompted finetuning of large language models, we also test the generalization capability of the recent encoder-decoder model mT0 (Muennighoff et al., 2022) on new tasks (i.e., SID) in languages they have never intentionally seen. We show that our best model outperforms the baseline by a large margin (up to +30 F1 points) in both SID tasks
Comments: VarDial @ EACL
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2304.13292 [cs.CL]
  (or arXiv:2304.13292v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2304.13292

Submission history

From: Gagan Bhatia [view email]
[v1] Wed, 26 Apr 2023 05:10:12 UTC (6,740 KB)
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