Since the popularization of the Internet, the overwhelming, complex, and uncertain authenticity of information has been troubling users. Although tools such as search engines, directories, and manually edited communities can provide some assistance, the accuracy and convenience of these tools are still insufficient, urgently requiring a shift towards intelligent, precise, professional, and personalized user-centered intelligent information services. Natural language processing technology is currently regarded as a revolutionary concept and a brand-new application that can significantly improve the quality and satisfaction of services, creating more development space for related industries and the information service sector.
It has two obvious characteristics:
(1) For system input, the developed natural language processing system must be able to handle large-scale real texts, rather than just a few entries and typical sentences as previous research systems did. Only in this way can the developed system have real practical value.
(2) For system output, given that it is extremely difficult to truly understand natural language, the system is not required to have deep understanding of natural language texts but must be able to extract useful information from them. For example, automatically extracting keywords, filtering, retrieving, automatically extracting important information, and generating automatic summaries from natural language texts.
At the same time, due to the emphasis on “large-scale” and “real texts,” the following two foundational aspects have also received attention and enhancement.
(1) The development of large-scale real corpora. A large-scale corpus of real texts processed to varying depths is the basis for studying the statistical properties of natural language. Without them, statistical methods can only be like water without a source.
(2) The compilation of large-scale, information-rich dictionaries. Computer-usable dictionaries containing tens of thousands, hundreds of thousands, or even millions of words, rich in information (such as collocation information), are obviously crucial for natural language processing.
Internet intelligence is a brand new research direction that has emerged in recent years, resulting from the integration of artificial intelligence and advanced information technology in the new Internet environment. Among them, natural language technology is of great significance for semantic networks, internet data mining, and more. The amount of data on the Internet is growing at a geometric rate, and the increasingly prominent uncertainty characteristics of internet data, such as fuzziness, roughness, randomness, and possibility, pose challenges. Current technologies struggle to effectively discover knowledge and make decisions when dealing with uncertain data and information, while natural language processing and understanding technologies have inherent advantages in this regard.
This advantage manifests mainly in two ways: first, directly: during information queries, users can go straight to the point without having to select from multiple menus. Second, flexibly: users do not have to strictly follow certain keywords for inquiries; as long as the user’s description is semantically consistent with what they want to query. Thus, intelligent information services using natural language technology will also open up many new fields for electronic services.
Source: IT168, Baidu Encyclopedia
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