In terms of emotional perception, the financial assistant robot "zhixiaobao" goes further

Human communication Charm is , A few simple words can express all kinds of complexity 、 Subtle emotions . therefore , Let the machine pass on The following can understand emotions , One straight It is the goal of naturallanguageprocessing research .

lately , Ant wealth's financial assistant AI robot “ Zhixiaobao “ There has been a breakthrough in this regard .

rely on “ Granular emotion analysis ” Ability ,“ Zhixiaobao ” stay 2022 International semantic evaluation contest SemEval The subtask of “ Sentiment analysis ” I won the first place in the world .SemEval It's the most influential in the world 、 Largest scale 、 Semantic evaluation competition with the largest number of participants , It reflects the most advanced research direction in the current naturallanguageprocessing technology , This year is the 16th .

This is a “ Zhixiaobao ” Following last year's refresh SQuAD 2.0 Ranking List and WikiSQL After the list , stay technology The field has made The new achievement .

SQuAD 2.0 Ranking List and WikiSQL The list is also the top challenge in naturallanguageprocessing , The former reflects the performance that the machine reading comprehension ability exceeds that of human beings , For example, find the answer to a given question in an article ; Another embodiment is in the process of man-machine dialogue AI The recognition accuracy of human language .

so to speak , Refresh SQuAD 2.0 Ranking List and WikiSQL The list reflects Zhi Xiaobao's “ Intelligence quotient (IQ) “, And get SemEval 2022“ Sentiment analysis ” The first place in the track , Then performance 了 Zhixiaobao's “ EQ ”.

obviously , To better communicate with users , Robots except “ evolution ” Intelligence quotient (IQ) , Still have to “ evolution ” EQ .

SemEval 2022 The competition includes parsing 、 Multimodal understanding 、 Information extraction, etc Twelve subtasks ,“ Zhixiaobao ” Participating in information extraction “ Sentiment analysis ” part , The main Examine fine-grained affective analysis . for instance , When Zhixiaobao meets To emotional investors , Coarse grained naturallanguageprocessing can only be generalized “ My guest, don't be angry ” Such an answer . With fine-grained emotion analysis , Zhixiaobao can identify emotions and attribute them , While giving comfort , I can also do some analysis , Provide more targeted responses .

The evaluation of this competition should cover English 、 Norwegian 、 Catalan 、 Basque and Spanish , Across news commentary articles 、 E-commerce reviews and other content sources .“ Zhixiaobao ” A multi language pre training model of tens of millions of levels has been built , Supplemented by data enhancement 、 Noise removal and other means , Improve the model's ability to understand multiple languages and sources , Finally, I won the first place .

“ Fine grained emotional analysis makes zhixiaobao Have higher EQ , Better empathy and appeasement when accompanying investors , Become a hotter intelligent financial assistant .” Luxin, technical director of zhixiaobao Think , Fit wealth The management industry needs to continuously invest in and develop scientific and technological capabilities , Explore cutting-edge scientific and technological fields , It is expected to bring further service experience innovation to investors , Provide reliable 、 Personalized and professional financial services .

When Next , Zhixiaobao is not so “ smart ”, Predictably enough , Machines' understanding of human emotions will become more and more delicate .

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