資訊：大學研究人員開發(fā)出檢測諷刺語態(tài)的AI平臺

University researchers develop AI platform to detect sarcasm

大學研究人員開發(fā)出檢測諷刺語態(tài)的AI平臺


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.

荷蘭研究人員開發(fā)了一個能夠識別諷刺語態(tài)的AI平臺。該項目在渥太華舉行的美國聲學協(xié)會和加拿大聲學協(xié)會會議上亮相。研究人員利用《老友記》和《生活大爆炸》等美國情景喜劇中的視頻剪輯和文本，使用多模態(tài)諷刺檢測數(shù)據(jù)集 (MUStARD) 訓練神經(jīng)網(wǎng)絡(luò)，該數(shù)據(jù)集此前由來自美國和新加坡的另一個研究團隊注釋。

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.

經(jīng)過這些數(shù)據(jù)的訓練后，AI模型在大約75%的情況下成功檢測到交流中的諷刺。據(jù)報道，使用合成數(shù)據(jù)進一步提高了這種準確性，盡管這些發(fā)現(xiàn)尚未發(fā)表。用于訓練的場景有《生活大爆炸》和《老友記》中諷刺互動的片段。

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.

格羅寧根大學的研究團隊旨在提高AI的諷刺檢測能力。通過結(jié)合面部表情等視覺線索，他們的目標是提高人工智能更準確地檢測諷刺的能力。該項目可以讓人工智能助理理解人類言語中的負面或敵意語氣，從而顯著改善他們的互動。

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.

諷刺通常植根于幽默，旨在嘲笑或諷刺某些事物。當說話者諷刺時，他們所說的內(nèi)容與實際意思不同，這就是為什么大型語言機器很難檢測某人講話中的細微差別。

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.

該項目與類似的研究計劃相一致，例如美國國防部DARPA的研究計劃，該計劃開發(fā)了一種用于檢測文本中諷刺內(nèi)容的人工智能模型。這些項目的成功是一項重大成就，因為它強調(diào)了理解人類交流中諷刺的重要性，這可以促進更細致、更引人注目的人工智能系統(tǒng)的開發(fā)。