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Crossing the conversational chasm: A primer on natural language processing for multilingual task-oriented dialogue systems
In task-oriented dialogue (ToD), a user holds a conversation with an artificial agent with the
aim of completing a concrete task. Although this technology represents one of the central …
aim of completing a concrete task. Although this technology represents one of the central …
Learn to adapt for generalized zero-shot text classification
Generalized zero-shot text classification aims to classify textual instances from both
previously seen classes and incrementally emerging unseen classes. Most existing methods …
previously seen classes and incrementally emerging unseen classes. Most existing methods …
Cross-lingual dialogue dataset creation via outline-based generation
Multilingual task-oriented dialogue (ToD) facilitates access to services and information for
many (communities of) speakers. Nevertheless, its potential is not fully realized, as current …
many (communities of) speakers. Nevertheless, its potential is not fully realized, as current …
[PDF][PDF] Crossing the conversational chasm: A primer on multilingual task-oriented dialogue systems
Despite the fact that natural language conversations with machines represent one of the
central objectives of AI, and despite the massive increase of research and development …
central objectives of AI, and despite the massive increase of research and development …
Short text classification of chinese with label information assisting
As a common language form in oral communication, short text is hard to be used in the
applications such as intent understanding, text classification and so on due to its limited …
applications such as intent understanding, text classification and so on due to its limited …
Method and system for intent classification
C Costello - US Patent 10,832,003, 2020 - Google Patents
US10832003B2 - Method and system for intent classification - Google Patents US10832003B2
- Method and system for intent classification - Google Patents Method and system for intent …
- Method and system for intent classification - Google Patents Method and system for intent …
BoostingBERT: Integrating multi-class boosting into BERT for NLP tasks
As a pre-trained Transformer model, BERT (Bidirectional Encoder Representations from
Transformers) has achieved ground-breaking performance on multiple NLP tasks. On the …
Transformers) has achieved ground-breaking performance on multiple NLP tasks. On the …
A hybrid neural network RBERT-C based on pre-trained RoBERTa and CNN for user intent classification
User intent classification plays a critical role in identifying the interests of users in question-
answering and spoken dialog systems. The question texts of these systems are usually short …
answering and spoken dialog systems. The question texts of these systems are usually short …
A Hybrid Neural Network BERT‐Cap Based on Pre‐Trained Language Model and Capsule Network for User Intent Classification
User intent classification is a vital component of a question‐answering system or a task‐
based dialogue system. In order to understand the goals of users' questions or discourses …
based dialogue system. In order to understand the goals of users' questions or discourses …