The classification of the intent is made per utterance. We analyze the case where possible intents are disjoint. In other words, each incoming message belongs to only one class. However, some intents might be very similar and belong to a common category, or in other words to a group of intents.
scholar.google.com › citations
Nov 22, 2019 · In this work, we investigate several machine learning methods to tackle the problem of intent classification for dialogue utterances.
Intent classification tries to answer the question why the customer contacted the organization and what the customer wants to achieve. The interaction can ...
People also ask
What is intent classification?
What is the difference between intent and utterance?
In this work we investigate several machine learning methods to tackle the problem of intent classification for dialogue utterances.
In this work we investigate several machine learning methods to tackle the problem of intent classification for dialogue utterances. We start with Bag-of-Words.
In this work, we investigate several machine learning methods to tackle the problem of intent classification for dialogue utterances.
Oct 25, 2023 · Intent-related tasks are typically formulated either as a classification task, where the utterances are classified into predefined categories or ...
To relax the difference, a data-driven untying of autoencoders (AEs) is proposed. The experimental result of the utterance intent classification showed an ...
For example, in MultiWOZ intent classification, we pass the full dialogue sequence as input but don't classify the utterances coming from the system side.
Oct 4, 2024 · ICL has been successful in utterance-level tasks like intent classification (Yu et al., 2021). As for the Retrieval part, most re- search on in- ...