51,098 research outputs found
Bootstrapping Multilingual Intent Models via Machine Translation for Dialog Automation
With the resurgence of chat-based dialog systems in consumer and enterprise
applications, there has been much success in developing data-driven and
rule-based natural language models to understand human intent. Since these
models require large amounts of data and in-domain knowledge, expanding an
equivalent service into new markets is disrupted by language barriers that
inhibit dialog automation.
This paper presents a user study to evaluate the utility of out-of-the-box
machine translation technology to (1) rapidly bootstrap multilingual spoken
dialog systems and (2) enable existing human analysts to understand foreign
language utterances. We additionally evaluate the utility of machine
translation in human assisted environments, where a portion of the traffic is
processed by analysts. In English->Spanish experiments, we observe a high
potential for dialog automation, as well as the potential for human analysts to
process foreign language utterances with high accuracy.Comment: 6 pages, 3 figures, accepted for publication at the 2018 European
Association for Machine Translation Conference (EAMT 2018
In-Context Learning User Simulators for Task-Oriented Dialog Systems
This paper presents a novel application of large language models in user
simulation for task-oriented dialog systems, specifically focusing on an
in-context learning approach. By harnessing the power of these models, the
proposed approach generates diverse utterances based on user goals and limited
dialog examples. Unlike traditional simulators, this method eliminates the need
for labor-intensive rule definition or extensive annotated data, making it more
efficient and accessible. Additionally, an error analysis of the interaction
between the user simulator and dialog system uncovers common mistakes,
providing valuable insights into areas that require improvement. Our
implementation is available at
https://github.com/telepathylabsai/prompt-based-user-simulator
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