本文選題：人名消歧　切入點(diǎn)：機(jī)構(gòu)名識別　出處：《哈爾濱工業(yè)大學(xué)》2012年碩士論文

【摘要】：隨著移動互聯(lián)網(wǎng)時(shí)代的到來，網(wǎng)絡(luò)使用的便捷性不斷提高，終端數(shù)量不斷增加，使得信息發(fā)布的速度加快，信息量飛速增長搜索與特定人物相關(guān)的信息是用戶在互聯(lián)網(wǎng)上進(jìn)行搜索的主要目的之一，而重名現(xiàn)象的普遍性導(dǎo)致互聯(lián)網(wǎng)文本中人名歧義現(xiàn)象嚴(yán)重通用搜索引擎返回的結(jié)果并不能針對歧義現(xiàn)象有效地組織信息，造成了用戶耗費(fèi)大量的時(shí)間從許多同名人物中篩選自己感興趣的人物信息，且有遺漏重要信息的信息的風(fēng)險(xiǎn)因此，如何有效的消除這些歧義，把信息以有組織的形式呈現(xiàn)給用戶，就成為一個(gè)非常重要的問題為此，本文進(jìn)行了以下四個(gè)方面的工作： 第一，本文探討了人工標(biāo)注人名歧義語料的過程，并提出了基于自適應(yīng)共振理論的兩階段消歧策略模仿這一過程：在第一階段，構(gòu)建代表人物的類別并對文檔進(jìn)行分類，在第二階段通過層次凝聚的方法合并相似的類別系統(tǒng)通過類人行為，自動構(gòu)建目標(biāo)概念集合并實(shí)現(xiàn)歧義消解本文設(shè)計(jì)實(shí)驗(yàn)并驗(yàn)證了兩階段消歧策略的有效性，在兩種人名識別結(jié)果上，本文的兩階段方法的性能比傳統(tǒng)方法提高了0.92%和5.00% 第二，本文實(shí)現(xiàn)了人機(jī)互助的系統(tǒng)，，輔助建立識別規(guī)則和多種知識詞典資源并利用這些資源和規(guī)則建立了機(jī)構(gòu)名識別系統(tǒng)，通過與其他兩種命名實(shí)體識別工具ISLEX和LTP的比較，證明了規(guī)則方法在人名消歧任務(wù)的識別要求中，具有較高的性能和效率，可以有效適用于人名消歧系統(tǒng)的實(shí)際應(yīng)用 第三，本文對搜狗全網(wǎng)新聞?wù)Z料進(jìn)行了標(biāo)注，得到了可用于互聯(lián)網(wǎng)人名消歧研究的真實(shí)網(wǎng)絡(luò)語料資源；分析了人物屬性的對于互聯(lián)網(wǎng)語料的重要性和各屬性的特點(diǎn)；針對網(wǎng)絡(luò)上的非結(jié)構(gòu)化信息，設(shè)計(jì)并實(shí)現(xiàn)人物屬性抽取系統(tǒng)；最后，通過在真實(shí)網(wǎng)絡(luò)語料上的實(shí)驗(yàn)，對人物屬性特征的有效性進(jìn)行了驗(yàn)證 第四，本文分析了人名消歧系統(tǒng)的任務(wù)和功能，設(shè)計(jì)并實(shí)現(xiàn)了基于知識資源人名消歧模塊，完成了頁面爬取頁面分析基于知識資源人名消歧數(shù)據(jù)存儲等模塊，實(shí)現(xiàn)了直觀的消歧結(jié)果排序算法，建立了新聞檢索結(jié)果消歧系統(tǒng)
[Abstract]:With the advent of the mobile Internet era, the convenience of network use has been improved, and the number of terminals has been increasing, which makes the speed of information release accelerated. The rapid growth of information is one of the main purposes for users to search the Internet for information related to a particular person. However, the universality of the phenomenon of double names leads to the serious phenomenon of name ambiguity in Internet texts. The results returned by the common search engine can not organize information effectively against the phenomenon of ambiguity. It causes users to spend a lot of time to filter the information of people of interest from many people of the same name, and there is the risk of omitting important information. Therefore, how to effectively eliminate these ambiguities, Presenting information to users in organized form becomes a very important issue. For this reason, this paper has carried out the following four aspects of work:. First, this paper discusses the process of manually tagging the ambiguous corpus of human names, and proposes a two-stage disambiguation strategy based on adaptive resonance theory to imitate this process: in the first stage, the categories of representative persons are constructed and the documents are classified. In the second stage, the similar category system is merged by hierarchical aggregation, and the target concept set is automatically constructed by humanoid behavior. In this paper, experiments are designed and the effectiveness of the two-stage disambiguation strategy is verified. The performance of the two-stage method in this paper is better than that of the traditional method by 0.92% and 5.00%. Secondly, this paper implements a man-machine mutual aid system, which helps to establish recognition rules and a variety of knowledge dictionary resources, and uses these resources and rules to establish an institution name recognition system. The system is compared with two other named entity recognition tools, ISLEX and LTP. It is proved that the rule method has higher performance and efficiency in the task of name disambiguation, and it can be effectively applied to the practical application of the disambiguation system. Thirdly, this paper annotates the whole news corpus of Sogou, obtains the real network corpus resources that can be used in the research of Internet name disambiguation, analyzes the importance of the character attribute to the Internet corpus and the characteristics of each attribute. In view of the unstructured information on the network, the character attribute extraction system is designed and implemented. Finally, the validity of the character attribute feature is verified by the experiment on the real network corpus. Fourth, this paper analyzes the tasks and functions of the disambiguation system, designs and implements the disambiguation module based on knowledge resource, and completes the module of page crawling page analysis based on the data storage of human name disambiguation based on knowledge resources. An intuitive sorting algorithm of disambiguation results is implemented, and a news retrieval result disambiguation system is established.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：TP391.3

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