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12 Result(s)
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Hanlei Zhang
Computer Science
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Experiment Platform for Dialogue Intent Recognition Based on Deep Learning
This chapter propose the first open intent recognition plat form TEXTOIR, which integrates two complete modules: open intent detection and open intent discovery. It provides toolkits for each module with commo...
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Dialogue System
With the rapid development of Internet technology and the increasing popularity of intelligent robots and intelligent hardware devices, traditional keyword-based search engine information retrieval is no longe...
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Intent Classification Based on Single Model
Intent classification is an important preprocessing step in natural language processing tasks, used to categorize input text into specific intents, in order to assign them to corresponding subsystems or proces...
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Unknown Intention Detection Method Based on Dynamic Constraint Boundary
Open intent classification is a challenging task in dialogue systems. On the one hand, ensuring the classification quality of known intents is crucial. On the other hand, identifying open (unknown) intent duri...
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Chapter
Discovering New Intents with Deep Aligned Clustering
Discovering new intents is a crucial task in dialogue systems. Most existing methods are limited in transferring the prior knowledge from known intents to new intents. These methods also have difficulties in p...
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Summary
This book focuses on the study of conversation intent understanding in Artificial Intelligence. The research objective is to enhance machine understanding of human intents in the real world. With the increasin...
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A Dual RNN Semantic Analysis Framework for Intent Classification and Slot
The research on spoken language understanding (SLU) system has progressed extremely fast during the past decades. Intent detection and slot filling are two main tasks for building a SLU system. Multiple deep l...
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Unknown Intent Detection Based on Large-Margin Cosine Loss
Identifying the unknown (novel) user intents that have never appeared in the training set is a challenging task in the dialogue system. This chapter presents a two-stage method for detecting unknown intents. T...
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Discovering New Intents Via Constrained Deep Adaptive Clustering with Cluster Refinement
Identifying new user intents is an essential task in the dialogue system. However, it is hard to get satisfying clustering results since the definition of intents is strongly guided by prior knowledge. Existin...
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Unknown Intent Detection Method Based on Model Post-Processing
With the maturity and popularity of dialogue systems, detecting user’s unknown intent in dialogue systems has become an important task. It is also one of the most challenging tasks, as it is difficult to obtai...
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Chapter
Intent Recognition
In practical scenarios of the human-machine dialogue system, intent detection is an important and challenging problem. The human-machine dialogue system firstly converts the user’s query into a structured sema...
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Book
