Multitask learning for multilingual intent detection and slot filling in dialogue systems
Dialogue systems are becoming an ubiquitous presence in our everyday lives having a
huge impact on business and society. Spoken language understanding (SLU) is the critical …
huge impact on business and society. Spoken language understanding (SLU) is the critical …
Multilingual code-switching for zero-shot cross-lingual intent prediction and slot filling
Predicting user intent and detecting the corresponding slots from text are two key problems
in Natural Language Understanding (NLU). In the context of zero-shot learning, this task is …
in Natural Language Understanding (NLU). In the context of zero-shot learning, this task is …
Joint agricultural intent detection and slot filling based on enhanced heterogeneous attention mechanism
X Hao, L Wang, H Zhu, X Guo - Computers and Electronics in Agriculture, 2023 - Elsevier
Agricultural diseases and pests are important factors restricting global food production. The
knowledge-based question-answering (Q&A) system opens a new avenue for pest and …
knowledge-based question-answering (Q&A) system opens a new avenue for pest and …
Multilingual name entity recognition and intent classification employing deep learning architectures
Abstract Named Entity Recognition and Intent Classification are among the most important
subfields of the field of Natural Language Processing. Recent research has lead to the …
subfields of the field of Natural Language Processing. Recent research has lead to the …
Incorporating BERT with probability-aware gate for spoken language understanding
Spoken language understanding (SLU) is an essential part of a task-oriented dialogue
system, which mainly includes intent detection and slot filling. Some existing approaches …
system, which mainly includes intent detection and slot filling. Some existing approaches …
Universal discourse representation structure parsing
We consider the task of crosslingual semantic parsing in the style of Discourse
Representation Theory (DRT) where knowledge from annotated corpora in a resource-rich …
Representation Theory (DRT) where knowledge from annotated corpora in a resource-rich …
Joint intent detection and slot filling with syntactic and semantic features using multichannel CNN-BiLSTM
Understanding spoken language is crucial for conversational agents, with intent detection
and slot filling being the primary tasks in natural language understanding (NLU). Enhancing …
and slot filling being the primary tasks in natural language understanding (NLU). Enhancing …
Knowledge-aware response selection with semantics underlying multi-turn open-domain conversations
M Nakatsuji, Y Ozeki, S Tateishi, Y Kano, QP Zhang - World Wide Web, 2023 - Springer
Response selection is a critical issue in the AI community, with important applications on the
Web. The accuracy of the selected responses, however, tends to be insufficient due to the …
Web. The accuracy of the selected responses, however, tends to be insufficient due to the …
Data augmentation and learned layer aggregation for improved multilingual language understanding in dialogue
E Razumovskaia, I Vulić… - Findings of the Association …, 2022 - aclanthology.org
Scaling dialogue systems to a multitude of domains, tasks and languages relies on costly
and time-consuming data annotation for different domain-task-language configurations. The …
and time-consuming data annotation for different domain-task-language configurations. The …
CAE: mechanism to diminish the class imbalanced in SLU slot filling task
NM Phuong, T Le, NL Minh - International Conference on Computational …, 2022 - Springer
Abstract Spoken Language Understanding (SLU) task is a wide application task in Natural
Language Processing. In the success of the pre-trained BERT model, NLU is addressed by …
Language Processing. In the success of the pre-trained BERT model, NLU is addressed by …