【摘 要】
：
The paper proposes a sentence alignment method based on maximum entropy model using anchor sentences to align ancient and modern Chinese sentences in histor
【机 构】
：
Key Laboratory of Advanced Design and Intelligent Computing(Dalian University),Ministry of Education
【出 处】
：
第十五届全国计算语言学学术会议(CCL2016)暨第四届基于自然标注大数据的自然语言处理国际学术研讨会(NLP-NABD
论文部分内容阅读
The paper proposes a sentence alignment method based on maximum entropy model using anchor sentences to align ancient and modern Chinese sentences in historical classics.The method selects the sentence pairs with the same phrases at the beginning or the end of the sentence or with the same time phrases as anchor sentence pairs,which are employed to divide the paragraph into several sections.Then,the sentences in each section are aligned using dynamic programming algorithm according to the entropy calculated by maximum entropy model.The maximum entropy model employs improved Chinese co-occurrence character feature,length feature and sentence alignment mode feature.The Chinese co-occurrence characters feature is improved by giving different weights to characters in different position based on the contribution to align sentences.In the experiment performed on ShiJi,the precision and recall of the proposed method reaches 95.9%and 95.6%respectively,which outperforms other sentence alignment methods significantly.
其他文献
随着深度学习和多模态融合的深入研究,问答系统从传统的纯文本方式扩展到结合图片的视觉问答,成为计算机视觉与自然语言理解的交叉研究热点.Hyeonwoo等最新提出的动态参数预测模型(DPPnet)能够简单、有效地实现问句和图片信息的融合.但是该模型在进行网络参数动态Hash分配时位置随机,缺乏图像内容空间分布的考虑.针对此不足,本文提出一种新的空间离散余弦Hash动态参数网络.算法采用全卷积方式提取保
For the difficulty of marking Vietnamese dependency tree,this paper proposed the method which combined MST algorithm and improved Nivre algorithm to build V
As a fundamental step in biomedical information extraction tasks,biomedical named entity recognition remains challenging.In recent years,the neural network
Chinese semantic dependency graph is extended from semantic dependency tree,which uses directed acyclic graphs to capture richer latent semantics of sentenc
Definition extraction is the task to identify definitional sentences automatically from unstructured text.The task can be used in the aspects of ontology ge
The primary task of language translation is to faithfully pass the meaning(s)of the source text to the target language.Unfortunately,meanings often get lost
研究基于矩阵分解的词嵌入方法，提出统一的描述模型，并应用于中英跨语言词嵌入问题.以双语对齐语料为知识源，提出跨语言关联词计算方法和两种点关联测度的计算方法：跨语言共
问题分类旨在对问题的类型进行自动分类，该任务是问答系统研究的一项基本任务。本文提出了一种基于问题和答案共同表示学习的问题分类方法。该方法的特色在于，利用问题及其
本文标注《世说新语》的篇章结构,据此研究其连接词的显隐、语义及用法.研究发现：1)隐式关系(3346,81.9％)多于显式关系(786,18.1％),17类关系仅有3类(假设,选择,让步)显多隐
We introduce a monolingual query method with additional webpage data to improve the translation quality for more and more official use requirement of statis