A survey of joint intent detection and slot filling models in natural language understanding
Intent classification, to identify the speaker's intention, and slot filling, to label each token
with a semantic type, are critical tasks in natural language understanding. Traditionally the …
with a semantic type, are critical tasks in natural language understanding. Traditionally the …
Multi-task learning in natural language processing: An overview
Deep learning approaches have achieved great success in the field of Natural Language
Processing (NLP). However, directly training deep neural models often suffer from overfitting …
Processing (NLP). However, directly training deep neural models often suffer from overfitting …
BMT-Net: Broad multitask transformer network for sentiment analysis
Sentiment analysis uses a series of automated cognitive methods to determine the author's
or speaker's attitudes toward an expressed object or text's overall emotional tendencies. In …
or speaker's attitudes toward an expressed object or text's overall emotional tendencies. In …
Addressing the item cold-start problem by attribute-driven active learning
In recommender systems, cold-start issues are situations where no previous events, eg,
ratings, are known for certain users or items. In this paper, we focus on the item cold-start …
ratings, are known for certain users or items. In this paper, we focus on the item cold-start …
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 …
Natural language understanding approaches based on joint task of intent detection and slot filling for IoT voice interaction
Abstract Internet of Things (IoT) based voice interaction system, as a new artificial
intelligence application, provides a new human–computer interaction mode. The more …
intelligence application, provides a new human–computer interaction mode. The more …
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 …
Exact-k recommendation via maximal clique optimization
This paper targets to a novel but practical recommendation problem named exact-K
recommendation. It is different from traditional top-K recommendation, as it focuses more on …
recommendation. It is different from traditional top-K recommendation, as it focuses more on …
[PDF][PDF] Crossing the conversational chasm: A primer on multilingual task-oriented dialogue systems
E Razumovskaia, G Glavaš… - arXiv preprint arXiv …, 2021 - evgeniiaraz.github.io
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 …
Representation learning-assisted click-through rate prediction
Click-through rate (CTR) prediction is a critical task in online advertising systems. Most
existing methods mainly model the feature-CTR relationship and suffer from the data …
existing methods mainly model the feature-CTR relationship and suffer from the data …