本文關(guān)鍵詞：漢越雙語語料庫建設(shè)及事件圖抽取方法研究　出處：《昆明理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 越南語 事件抽取 事件元素抽取 共指關(guān)系抽取 事件圖

【摘要】：新聞中的事件抽取是信息抽取的重要研究任務(wù)之一,其主要目標(biāo)是抽取出文本中蘊(yùn)含的事件。尤其是越南語新聞的信息抽取,對處理好與越南的國際關(guān)系對區(qū)域經(jīng)濟(jì)發(fā)展、政治穩(wěn)定有重要作用。一般來說,一篇新聞是由新聞文本中的多個事件組成的。在人們從新聞獲取信息的過程中,人們除了獲取新聞描述的多個子事件之外,還需要獲取到這些事件之間的關(guān)聯(lián)關(guān)系。這些關(guān)聯(lián)關(guān)系同樣是新聞的重要信息。因此,如何借助事件抽取來獲得事件及事件間的關(guān)聯(lián)關(guān)系顯得至關(guān)重要。本文針對漢越雙語新聞事件抽取這一問題,圍繞漢越雙語新聞?wù)Z料構(gòu)建、漢越事件抽取、漢越雙語事件圖構(gòu)建等問題展開深入研究,完成了以下特色研究工作:(1)構(gòu)建了漢越雙語新聞?wù)Z料庫。針對漢越新聞分析及事件抽取的需求,定義了語料標(biāo)注的內(nèi)容,包括事件描述,事件要素,事件時間關(guān)系、事件共指關(guān)系及跨語言事件對齊關(guān)系等要素。收集了 508篇漢越雙語新聞,采用XML語言進(jìn)行了語料標(biāo)注。為接下來的漢越雙語事件抽取及漢越雙語事件圖構(gòu)建提供重要支撐。(2)實(shí)現(xiàn)了基于機(jī)器學(xué)習(xí)和規(guī)則相結(jié)合的事件抽取方法。首先,選擇詞和詞性、上下文的詞及詞性、語義特征等特征,并將漢語事件識別結(jié)果作為指導(dǎo)特征融入越南語事件識別中,采用支持向量機(jī)訓(xùn)練事件識別模型,識別事件觸發(fā)詞。然后,根據(jù)漢語及越南語的語法句法規(guī)律,定義不同語法結(jié)構(gòu)的事件元素抽取規(guī)則,根據(jù)規(guī)則匹配抽取事件元素。最后,定義事件元素類型消解規(guī)則,通過規(guī)則匹配實(shí)現(xiàn)事件元素類型消解。對不符合事件元素類型消解規(guī)則的事件元素,通過與事件類型的詞義集進(jìn)行相似度計(jì)算來實(shí)現(xiàn)事件元素類型消解。實(shí)驗(yàn)結(jié)果表明提出的方法成功的提高了越南語事件抽取的效果。(3)提出了基于事件及事件間關(guān)聯(lián)關(guān)系的雙語事件圖構(gòu)建方法。首先,利用支持向量機(jī)模型抽取事件之間的共指關(guān)系及時間關(guān)系。然后,以事件為節(jié)點(diǎn),以事件間的關(guān)聯(lián)關(guān)系作為邊,構(gòu)建融合事件共指關(guān)系及時間關(guān)系的漢越雙語事件圖。最后,借鑒PageRank算法思想求解有向圖中節(jié)點(diǎn)的權(quán)重,實(shí)現(xiàn)對漢越雙語事件排序。實(shí)現(xiàn)雙語事件圖構(gòu)建表征漢越新聞。(4)利用上述研究成果,設(shè)計(jì)了漢越雙語新聞事件圖抽取原型系統(tǒng)。實(shí)現(xiàn)漢越雙語事件圖抽取。
[Abstract]:Event extraction in news is one of the important research tasks of information extraction. Its main goal is to extract the events contained in the text, especially the information extraction of Vietnamese news. It plays an important role in regional economic development and political stability in dealing with the international relations with Vietnam. Generally speaking, a news article is composed of many events in a news text, and in the process of people getting information from news. In addition to obtaining multiple sub-events of news description, people also need to obtain the relationships between these events. These relationships are also important information of news. It is very important to obtain the relationship between events and events by means of event extraction. This paper focuses on the construction of Chinese-Vietnamese bilingual news corpus and the extraction of Sino-Vietnamese events in view of the problem of Chinese-Vietnamese bilingual news event extraction. The construction of Chinese-Vietnamese bilingual event map has been deeply studied, and the following research work has been completed: 1) the Chinese-Vietnamese bilingual news corpus has been constructed to meet the needs of Chinese-Vietnamese news analysis and event extraction. The contents of corpus tagging are defined, including event description, event elements, event time relationship, event co-referential relation and cross-language event alignment relationship. 508 Chinese-Vietnamese bilingual news articles are collected. XML language is used to annotate the corpus, which provides important support for the next Chinese-Vietnamese bilingual event extraction and Chinese-Vietnamese bilingual event map construction. An event extraction method based on the combination of machine learning and rules is implemented. First of all. The features of words and parts of speech, words and parts of speech of context, semantic features are selected, and the results of Chinese event recognition are integrated into Vietnamese event recognition. Support vector machine (SVM) is used to train event recognition model. Then, according to the syntax rules of Chinese and Vietnamese, the extraction rules of event elements with different syntactic structures are defined, and the event elements are extracted according to the matching rules. Define event element type resolution rules and implement event element type resolution by rule matching. For event elements that do not conform to event element type resolution rules. The result of experiment shows that the proposed method can improve the effect of Vietnamese event extraction successfully by calculating the similarity with the semantic set of the event type to achieve the resolution of the event element type. A bilingual event graph construction method based on event and event correlation relationship is proposed. First of all. The support vector machine (SVM) model is used to extract the co-referential relation and time relationship between events, and then, the event is taken as the node and the correlation relationship between events is taken as the edge. Construct the Chinese-Vietnamese bilingual event graph combining event coreference relation and time relationship. Finally, use the idea of PageRank algorithm to solve the weight of nodes in directed graph. To achieve the ranking of Sino-Vietnamese bilingual events. To achieve bilingual event map construction representation of Sino-Vietnamese news. 4) to use the above research results. A prototype system of Chinese-Vietnamese bilingual news event map extraction is designed, and the Chinese and Vietnamese bilingual event map extraction system is implemented.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP391.1

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