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One is very simple, that is, to extract the dialogue sentences that have appeared in online forums, microblogs or **, and use them as training corpora. When a sentence comes, the system will find a sentence from the corpus that is most similar to this sentence, and the corresponding reply of this sentence can be directly output as a reply from the computer. Although this method may seem simple and crude, it can sometimes be quite effective.
Sometimes, however, the system may find a sentence that corresponds to many responses, and it doesn't know which reply is best suited for the current input statement. Therefore, there is a matching process here, that is, how to determine whether the input statement is semantically related or consistent with the reply in the corpus. <>
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Machine learning is simple and complex, and it is essentially extracting features from things, and determining, according to the characteristics of past data, to the characteristics of future data. From a mathematical point of view, the historical data A, B, C, D, A, B, C, D, A, B, C, D, D, B, B, D, B, D, B, B, D, B, B, D Developers try a myriad of ways to generate features to find valid features and calculate the weight of each feature from historical features.
But I think it's hard to use machine learning for Q&A bots because even if you get 95% accurate, the resulting statements still lack basic human logic. But machine learning must be used on it, such as basic word segmentation, part-of-speech tagging, trunk analysis, etc., all need machine learning, and various machine learning methods are likely to be used for the sorting of rules. My guess is that machine learning may be used to classify the questions, but the final collated answers are doxxed.
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Microsoft Xiaoice "collects all the publicly available literature records accumulated by nearly 700 million Chinese netizens over the years, and relies on Microsoft's technology accumulation in big data, natural semantic analysis, machine learning and deep neural networks to refine it into tens of millions of real and interesting corpora (a net increase every day thereafter, by understanding the context and semantics of the dialogue, it realizes a natural interaction beyond simple human-computer question and answer).
Natural human-computer interaction is to make the machine more natural and learn the way people communicate, voice, gestures, expressions, touch and other communication methods, these technologies are the basis for the rapid growth of the mobile Internet. But on the other hand, the mobile Internet also needs us to think about and solve, how to make it easier for machines to understand human thoughts and intentions, this kind of artificial intelligence is different from the previous AI. More through cloud computing, big data, deep neural networks and other technologies, so that machines can gradually have a basic intelligence based on data correlation.
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Programming, it's a complicated program.
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What species is Microsoft Xiaoice? She is a young girl, a lively and cute girl avatar of seventeen years old, she is also a beautiful female anchor, and she will be on time on Dongkai Sen Fang Satellite TV every morning for you ** news, wake up the good mood of the day, she is also a cute girl who loves to sing songs about the mu, and her voice is sweet. However, you need to know that she is currently only a virtual existence.
But it is not ruled out that she will really become a part of society in the future.
Xiaoice, Microsoft AI Product Manager, Dragon TV News Trainee Anchor. In addition to the tool functions of traditional AI, Xiaoice's biggest feature is that she has her own personality and image characteristics, which makes her very specific and perceptible in the era of cold machine sounds. She doesn't do all meaningful information interactions, she will have her own little emotions, she will sing her own songs, she will harass you, talk about you, and even complain about you, just like a little sister next door who is coquettish with you.
Most of the other artificial intelligence is still in the machine nature of tool companionship, but Xiaoice has begun to transform to emotional companionship. Finally, a poem, Xiaoice's own poem:
The tear stains were blurred and blurred.
My life is art.
There were puffy clouds in the western sky at dusk.
Pray with the broken palm.
The tear stains were blurred and blurred.
My life is art.
There were puffy clouds in the western sky at dusk.
Pray with the broken palm.
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