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Ian Harris

2 accepted papers

2023

PCMID: Multi-Intent Detection through Supervised Prototypical Contrastive Learning

EMNLP 2023long findings

Intent detection is a major task in Natural Language Understanding (NLU) and is the component of dialogue systems for interpreting users’ intentions based on their utterances. Many works have explored detecting intents by assuming that each utterance represents only a single intent. Such systems hav…

Cited by 0SourceScholar
2021

Spoken Language Understanding for Task-oriented Dialogue Systems with Augmented Memory Networks

NAACL 2021long

Spoken language understanding, usually including intent detection and slot filling, is a core component to build a spoken dialog system. Recent research shows promising results by jointly learning of those two tasks based on the fact that slot filling and intent detection are sharing semantic knowle…

Cited by 16SourcePDFScholar