资讯：大学研究人员开发出检测讽刺语态的AI平台

University researchers develop AI platform to detect sarcasm

大学研究人员开发出检测讽刺语态的AI平台


Researchers from the Netherlands have developed an AI platform capable of recognising sarcasm. The project was presented at a meeting of the Acoustical Society of America and the Canadian Acoustical Association in Ottawa. Using video clips and text from American sitcoms such as ‘Friends’ and ‘The Big Bang Theory,’ the researchers trained a neural network with the Multimodal Sarcasm Detection Dataset (MUStARD), previously annotated by another research team from the US and Singapore.

荷兰研究人员开发了一个能够识别讽刺语态的AI平台。该项目在渥太华举行的美国声学协会和加拿大声学协会会议上亮相。研究人员利用《老友记》和《生活大爆炸》等美国情景喜剧中的视频剪辑和文本，使用多模态讽刺检测数据集 (MUStARD) 训练神经网络，该数据集此前由来自美国和新加坡的另一个研究团队注释。

After being trained on this data, the AI model successfully detected sarcasm in unlabeled exchanges about 75% of the time. Further improvements using synthetic data have reportedly enhanced this accuracy, though these findings are yet to be published. Notable scenes used for training included moments from ‘The Big Bang Theory’ and ‘Friends’ that exemplified sarcastic interactions.

经过这些数据的训练后，AI模型在大约75%的情况下成功检测到交流中的讽刺。据报道，使用合成数据进一步提高了这种准确性，尽管这些发现尚未发表。用于训练的场景有《生活大爆炸》和《老友记》中讽刺互动的片段。

The research team at the University of Groningen aims to advance their sarcasm detection capabilities. By incorporating visual cues such as facial expressions, they aim to refine the AI’s ability to detect sarcasm more accurately. The project could significantly improve AI assistants’ interactions by enabling them to understand negative or hostile tones in human speech.

格罗宁根大学的研究团队旨在提高AI的讽刺检测能力。通过结合面部表情等视觉线索，他们的目标是提高人工智能更准确地检测讽刺的能力。该项目可以让人工智能助理理解人类言语中的负面或敌意语气，从而显著改善他们的互动。

Sarcasm generally takes the form of an ironic remark, often rooted in humour, that is intended to mock or satirise something. When a speaker is being sarcastic, they say something different than what they actually mean, and that’s why it is hard for a large language machine to detect such nuances in someone’s speech.

讽刺通常植根于幽默，旨在嘲笑或讽刺某些事物。当说话者讽刺时，他们所说的内容与实际意思不同，这就是为什么大型语言机器很难检测某人讲话中的细微差别。

The project aligns with similar research initiatives, such as those by the US Department of Defense’s DARPA, which developed an AI model for detecting sarcasm in text. The success of these projects is a significant achievement since it underscores the importance of understanding sarcasm in human communication, which could enhance the development of more nuanced and compelling AI systems.

该项目与类似的研究计划相一致，例如美国国防部DARPA的研究计划，该计划开发了一种用于检测文本中讽刺内容的人工智能模型。这些项目的成功是一项重大成就，因为它强调了理解人类交流中讽刺的重要性，这可以促进更细致、更引人注目的人工智能系统的开发。