【摘 要】
：
The rapid development of new media results in a lot of redundant information,increasing the difficulty of quickly obtaining useful information and browsing simplified messages on portable devices.Thus
【机 构】
：
Beijing Institute of Technology School of Computer Science,Beijing,100081,China
【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 rapid development of new media results in a lot of redundant information,increasing the difficulty of quickly obtaining useful information and browsing simplified messages on portable devices.Thus emerges the automatic news abridgement technology.We propose a novel method of word alignment,aiming at news headlines,applying the combination method of statistics and rules to intelligent abridgement.And a new framework based on the combination of sentence abridgement and sentence selection to generate the abridgement result of news contents,abridging the original text to the word limit,in order to achieve the uttermost conservation of the original meaning.Meanwhile,for a fair and intelligent evaluation,this paper presents an evaluation method of automatic summarization specific to sentence abridgement techniques.Experimental results show that the proposed methods are feasible,and able to automatically generate coherent and representative summaries of given news with high density.
其他文献
In this paper,we propose a neural graph-based dependency parsing model which utilizes hierarchical LSTM networks on character level and word level to learn word representations,allowing our model to a
In order to explore a practical way of improving machine translation(MT)quality,the error types and distribution of MT results have to be analyzed first.This paper analyzed English-Chinese MT errors f
For the difficulty of marking Vietnamese dependency tree,this paper proposed the method which combined MST algorithm and improved Nivre algorithm to build Vietnamese dependency treebank.The method too
Traditional Mongolian Unicode Encoding has serious problems as several pairs of vowels with the same glyphs but different pronunciations are coded differently.We expose the severity of the problem by
Unlike previous Mongolian morphological segmentation methods based on large labeled training data or complicated rules concluded by linguists,we explore a novel semi-supervised method for a practical
As a fundamental step in biomedical information extraction tasks,biomedical named entity recognition remains challenging.In recent years,the neural network has been applied on the entity recognition t
Previous researches on event relation classification primarily rely on lexical and syntactic features.In this paper,we use a Shallow Convolutional Neural Network(SCNN)to extract event-level and cross-
Sentiment analysis on social media represented by Weibo is one of the hotspot research problems in NLP.A comprehensive and systematic fine-grained annotated corpus plays a significance role.In this pa
A great number of clinicians in mainland China are under increasing pressure to publish their research results on international journals,and they urgently need support for writing research articles in
The dialog manager is the most important component for a dialog system,in which the dialog state tracking is crucial to a real-world system.We claim that the intractability of dialog states comes from