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Sgd-x: A benchmark for robust generalization in schema-guided dialogue systems
Zero/few-shot transfer to unseen services is a critical challenge in task-oriented dialogue
research. The Schema-Guided Dialogue (SGD) dataset introduced a paradigm for enabling …
research. The Schema-Guided Dialogue (SGD) dataset introduced a paradigm for enabling …
Schema-guided dialogue state tracking task at DSTC8
This paper gives an overview of the Schema-Guided Dialogue State Tracking task of the 8th
Dialogue System Technology Challenge. The goal of this task is to develop dialogue state …
Dialogue System Technology Challenge. The goal of this task is to develop dialogue state …
Transformer models for mining intents and predicting activities from emails in knowledge-intensive processes
Process mining is an interdisciplinary field that combines Artificial Intelligence and Business
Process Management to extract insights from historical event data. Knowledge-intensive …
Process Management to extract insights from historical event data. Knowledge-intensive …
Symbolic Dialogue for General Domain State Tracking
Task-oriented dialogue (TOD) systems are built to help users accomplish specific objectives.
However, even though ongoing reviews and improvements have been made to its …
However, even though ongoing reviews and improvements have been made to its …
A fast and robust bert-based dialogue state tracker for schema-guided dialogue dataset
Dialog State Tracking (DST) is one of the most crucial modules for goal-oriented dialogue
systems. In this paper, we introduce FastSGT (Fast Schema Guided Tracker), a fast and …
systems. In this paper, we introduce FastSGT (Fast Schema Guided Tracker), a fast and …
Choice fusion as knowledge for zero-shot dialogue state tracking
With the demanding need for deploying dialogue systems in new domains with less cost,
zero-shot dialogue state tracking (DST), which tracks user's requirements in task-oriented …
zero-shot dialogue state tracking (DST), which tracks user's requirements in task-oriented …
Session-based recommendation with temporal convolutional network to balance numerical gaps
W Li, J Gou, Z Fan - Neurocomputing, 2022 - Elsevier
A session-based recommendation system recommends the next possible item for users by
learning the click session sequences of anonymous users. Considering the session data …
learning the click session sequences of anonymous users. Considering the session data …
A multi-task bert model for schema-guided dialogue state tracking
Task-oriented dialogue systems often employ a Dialogue State Tracker (DST) to
successfully complete conversations. Recent state-of-the-art DST implementations rely on …
successfully complete conversations. Recent state-of-the-art DST implementations rely on …
Sgd-qa: Fast schema-guided dialogue state tracking for unseen services
Y Zhang, V Noroozi, E Bakhturina… - arxiv preprint arxiv …, 2021 - arxiv.org
Dialogue state tracking is an essential part of goal-oriented dialogue systems, while most of
these state tracking models often fail to handle unseen services. In this paper, we propose …
these state tracking models often fail to handle unseen services. In this paper, we propose …
HR-Agent: A Task-Oriented Dialogue (TOD) LLM Agent Tailored for HR Applications
Recent LLM (Large Language Models) advancements benefit many fields such as
education and finance, but HR has hundreds of repetitive processes, such as access …
education and finance, but HR has hundreds of repetitive processes, such as access …