BlendX: Complex Multi-Intent Detection with Blended Patterns

arXiv:2403.18277 · cs.CL · Submitted 2024-03-27 · Read on arXiv

cs.CL

Submitted: 2024-03-27

Updated: 2024-03-27

Comments: Accepted to LREC-COLING2024

Journal ref: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 2428-2439, Torino, Italy. ELRA and ICCL

Code: https://github.com/HYU-NLP/BlendX

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Multi-Intent Detection — 12× in this paper
Association for Computational Linguistics — 4× in this paper
Accuracy — 3× in this paper · explained in 1 episode
Embeddings — 3× in this paper · explained in 2 episodes
Cosine Similarity — 2× in this paper · explained in 3 episodes
Distillation — 2× in this paper · explained in 2 episodes
Empirical Methods in Natural Language Processing — 2× in this paper
In-Context Learning — 2× in this paper · explained in 4 episodes
Self-Distillation — 2× in this paper · explained in 7 episodes
Ablation — 1× in this paper · explained in 1 episode
Ablation study — 1× in this paper · explained in 1 episode
Adaptability — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Benchmarking — 1× in this paper · explained in 3 episodes
Contrastive Learning — 1× in this paper · explained in 5 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 2 episodes
Redundancy — 1× in this paper · explained in 2 episodes
Transformer — 1× in this paper · explained in 2 episodes

Sources

A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialog

Terminology

Sources

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