一种基于序列标注的概念短语抽取方法     

李雪思  张智雄  刘欢 《图书情报工作》2022,66(11):121-128

［目的/意义］ 科技文献中的概念是对文献中知识高度凝练的表达,通常以定义句的形式出现在科技文献中。自动从概念定义句中抽取概念,能够进一步挖掘科技文献中蕴含的重要知识。［方法/过程］ 通过分析概念定义句的结构、句式等模式特征,提出以WCL数据集为基础的语料构建方案,并采用BERT+BiLSTM+CRF模型学习概念定义句的模式,从而实现概念短语抽取。［结果/结论］ 结合以往对概念定义句模式特征的研究,创新性地提出一种基于序列标注学习概念定义句的组成模式,从而实现概念短语抽取。通过BERT+BiLSTM+CRF模型,有效学习了概念定义句中的上下文语义、句式结构、组成项分布等模式特征,实现了句子中概念短语的抽取。  相似文献   

句子音高级别定位和音高层标注——《英语语调模式及声学实现》中“音高水平”引发的思考     

黄丽娜 《韩山师范学院学报》2011,(5):78-84

《英语语调模式及声学实现》一文中“pitch level”被翻译成“音高水平”,这种表达法在学习者语调分析中容易产生歧义;另外,体现“音高水平”具体内涵的“高域”、“中域”和“低域”等概念界限模糊,且在学习者口语音高标注及分析中可操作性不高。笔者首先针对这些问题进行分析;然后从句子音高级别定位人手,以实例说明音高层标注...  相似文献   

Unsupervised word sense disambiguation for Korean through the acyclic weighted digraph using corpus and dictionary     

Yeohoon Yoon  Choong-Nyoung Seon  Songwook Lee  Jungyun Seo 《Information processing & management》2006

Word sense disambiguation (WSD) is meant to assign the most appropriate sense to a polysemous word according to its context. We present a method for automatic WSD using only two resources: a raw text corpus and a machine-readable dictionary (MRD). The system learns the similarity matrix between word pairs from the unlabeled corpus, and it uses the vector representations of sense definitions from MRD, which are derived based on the similarity matrix. In order to disambiguate all occurrences of polysemous words in a sentence, the system separately constructs the acyclic weighted digraph (AWD) for every occurrence of polysemous words in a sentence. The AWD is structured based on consideration of the senses of context words which occur with a target word in a sentence. After building the AWD per each polysemous word, we can search the optimal path of the AWD using the Viterbi algorithm. We assign the most appropriate sense to the target word in sentences with the sense on the optimal path in the AWD. By experiments, our system shows 76.4% accuracy for the semantically ambiguous Korean words.  相似文献   

一类优美图     

张红霞 《南阳师范学院学报》2011,10(9):20-23

对P2r,2m的优美性进行探讨.采用函数构造法证明了r=13时P2r,2m是优美的.  相似文献   

AdaSL: An Unsupervised Domain Adaptation framework for Arabic multi-dialectal Sequence Labeling     

《Information processing & management》2022,59(4):102964

Dialectal Arabic (DA) refers to varieties of everyday spoken languages in the Arab world. These dialects differ according to the country and region of the speaker, and their textual content is constantly growing with the rise of social media networks and web blogs. Although research on Natural Language Processing (NLP) on standard Arabic, namely Modern Standard Arabic (MSA), has witnessed remarkable progress, research efforts on DA are rather limited. This is due to numerous challenges, such as the scarcity of labeled data as well as the nature and structure of DA. While some recent works have reached decent results on several DA sentence classification tasks, other complex tasks, such as sequence labeling, still suffer from weak performances when it comes to DA varieties with either a limited amount of labeled data or unlabeled data only. Besides, it has been shown that zero-shot transfer learning from models trained on MSA does not perform well on DA. In this paper, we introduce AdaSL, a new unsupervised domain adaptation framework for Arabic multi-dialectal sequence labeling, leveraging unlabeled DA data, labeled MSA data, and existing multilingual and Arabic Pre-trained Language Models (PLMs). The proposed framework relies on four key components: (1) domain adaptive fine-tuning of multilingual/MSA language models on unlabeled DA data, (2) sub-word embedding pooling, (3) iterative self-training on unlabeled DA data, and (4) iterative DA and MSA distribution alignment. We evaluate our framework on multi-dialectal Named Entity Recognition (NER) and Part-of-Speech (POS) tagging tasks.The overall results show that the zero-shot transfer learning, using our proposed framework, boosts the performance of the multilingual PLMs by 40.87% in macro-F1 score for the NER task, while it boosts the accuracy by 6.95% for the POS tagging task. For the Arabic PLMs, our proposed framework increases performance by 16.18% macro-F1 for the NER task and 2.22% accuracy for the POS tagging task, and thus, achieving new state-of-the-art zero-shot transfer learning performance for Arabic multi-dialectal sequence labeling.  相似文献   

基于粒子群算法城市救援设施地址选择     

陆秋琴  和涛 《科技管理研究》2011,31(7)

采用GIS的思想将城市的救援点转化为二维平面图形,然后采用规划论的方法建立模型,最后采用改进的粒子群算法对其进行求解得出最终的结果.  相似文献   

笛卡尔乘积图 K1，m K1，m Kn，n＋1 Pn＋1 Km，n Ct的平衡指标集     

陈碧英 《南平师专学报》2014,(2):43-49

研究了二部图与一些图的笛卡尔乘积图的平衡指标集,得到 K1,m□K1,m ,K2,m□K2,m ,Kn,n＋1□Pn＋1,Km,n□Ct的平衡指标集的准确值。  相似文献   

工程图样中重影点标注常见错误探讨     

李昂 《甘肃高师学报》2010,15(5):36-37

重影点不仅是工程制图中的一个重要概念,而且也是作图求解某些问题的重要理论依据.近年来出版的教材在作图求解的例图中,存在对重影点标注不规范的现象;甚至有些教材中另外加注的规定还淡化了重影点的概念.该文详细论述了重影点的概念、标注原则,以及如何标注空间点、线、面对某一投影面投影;同时又进一步详细分析了有些教材中在作图求解的例图中出现的重影点标注的错误,并给出了如何正确的标注.  相似文献   

图F_(n,4)与龙图D_n(m)的奇优美性     

谢建民  毛耀忠  刘海涛 《甘肃高师学报》2013,(5):1-2

给出了图Fn,4和龙图Dn(m)的定义,并用构造的方法给出了Fn,4与Dn(m)(当m≡0(mod 2)且n≡0(mod 4))的奇优美标号,从而证明了Fn,4与Dn(m)(当m≡0(mod 2)且n≡0(mod 4))都是奇优美图.  相似文献   

信息技术在企业供应链中的应用   总被引：5，自引：0，他引：5  

顾穗珊 《情报科学》2001,19(12):1292-1294

本文介绍了新型管理模式供应链管理的含义及作用，探讨了供应链中的信息与传统物流信息的差异和供应链信息的特点，并介绍和论述信息技术BAR CORD、EDI、EOS、POS、GPS、GIS对供应链管理的支撑作用。  相似文献