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Avishek Mondal

2 accepted papers

2022

Multi-Label Intent Detection via Contrastive Task Specialization of Sentence Encoders

EMNLP 2022main

Deploying task-oriented dialog ToD systems for new domains and tasks requires natural language understanding models that are 1) resource-efficient and work under low-data regimes; 2) adaptable, efficient, and quick-to-train; 3) expressive and can handle complex ToD scenarios with multiple user inten…

2021

Multilingual and Cross-Lingual Intent Detection from Spoken Data

EMNLP 2021main

We present a systematic study on multilingual and cross-lingual intent detection (ID) from spoken data. The study leverages a new resource put forth in this work, termed MInDS-14, a first training and evaluation resource for the ID task with spoken data. It covers 14 intents extracted from a commerc…

Cited by 33SourcePDFScholar