A Dual-Pointer guided transition system for end-to-end structured sentiment analysis with global graph reasoning     

《Information processing & management》2022,59(4):102992

Structured sentiment analysis is a newly proposed task, which aims to summarize the overall sentiment and opinion status on given texts, i.e., the opinion expression, the sentiment polarity of the opinion, the holder of the opinion, and the target the opinion towards. In this work, we investigate a transition-based model for end-to-end structured sentiment analysis task. We design a transition architecture which supports the recognition of all the possible opinion quadruples in one shot. Based on the transition backbone, we then propose a Dual-Pointer module for more accurate term boundary detection. Besides, we further introduce a global graph reasoning mechanism, which helps to learn the global-level interactions between the overlapped quadruples. The high-order features are navigated into the transition system to enhance the final predictions. Extensive experimental results on five benchmarks demonstrate both the prominent efficacy and efficiency of our system. Our model outperforms all baselines in terms of all metrics, especially achieving a 10.5% point gain over the current best-performing system only detecting the holder-target-opinion triplets. Further analyses reveal that our framework is also effective in solving the overlapping structure and long-range dependency issues.  相似文献   

Quantifying the structural and temporal characteristics of negative links in signed citation networks     

《Information processing & management》2022,59(4):102996

Although the citation relationships among papers can help in tracking and understanding the development of knowledge, few studies have noted that the content and sentiments of citations of a paper differ. Here, we use sentiment-labeled citation data to construct a directed signed citation network, in which an author may agree with or criticize the cited paper and these represent different ways of inheriting knowledge. The dataset we use consists of 9,038 papers in the field of Computational Linguistics, including 25,275 citations, with 20.8% positive citations, 8.6% negative citations and 70.6% neutral citations. We systematically quantify the structural patterns of negative citations, impact assortativity of involved papers, occurrence time distribution and consequences of receiving negative attention. Remarkably, we find that papers with different impacts have a similar probability of receiving negative citations, and highly cited papers tend to give negative citations to low-impact papers around but avoid giving negative citations to high-impact papers. Our research also reveals the random occurrence rules and colocation patterns of negative citation distribution. In addition, we show that, in the short term, around 60% of multiple negative citations is positively related to the impact of the cited paper while more than 80% are negatively related to the impact in the long run. Our findings explain the pattern by which negative citations occur and deepen the understanding of negative citations.  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   

基于互联网传播文本的地区环境形象评价方法     

段长宇  胡裕民  赵志杰  李晓亮 《科技管理研究》2022,(19)

利用文本分类、情感分析等自然语言处理手段,开发基于互联网文本信息的地区环境形象评价方法。为满足生态环境大数据的分析需求,划分了环境形象类别,分别从文体来源、情感极性和环境要素这三种角度评价地区环境形象。人工标注环境文本语料,对比支持向量机、朴素贝叶斯和卷积神经网络三种算法,最终构建了以卷积神经网络为核心算法的地区环境形象评价模型。方法的分类效果较好,三种分类的F1值均满足分析需求,环境要素的F1值在0.8~0.9之间,情感分析的F1值在0.8以上,文体来源的F1值在0.9左右。该方法应用在长三角城市,可实时处理地区热点环境舆情,分析地区环境形象,提供精准直观的环境形象评估结果,为区域环境管理提供基础信息支持。  相似文献   

5G环境下高校图书馆自媒体平台多标签文本分类方法研究          下载免费PDF全文

程雅倩  黄玮  金晓祥  贾佳 《情报科学》2022,39(2):155-161

【目的/意义】由于自媒体平台中的多标签文本具有高维性和不平衡性,导致文本分类效果较差,因此通过 研究5G环境下高校图书馆自媒体平台多标签文本分类方法对解决该问题具有重要意义。【方法/过程】本文首先通 过对采集的5G环境下高校图书馆自媒体平台多标签文本进行预处理,包括无意义数据去除、文本分词以及去停用 词等;然后采用改进主成分分析方法进行多标签文本降维处理,利用向量空间模型实现文本平衡化处理;最后以处 理后的文本为基础,采用Adaboost和SVM两种算法构建文本分类器,实现多标签文本分类。【结果/结论】实验结果 表明,本文拟定的自媒体平台标签文本分类方法可以使汉明损失降低,F1值提高,多标签文本分类效果好,且耗时 较低,具有可靠性。【创新/局限】由于本研究中的数据集数量不够多,所以在测试和验证方面,得出的结果具有一定 局限性。因此在未来研究中期望利用更为丰富的数据库,对所设计的方法做出进一步的改进与创新。  相似文献   

食品学科研究生培养:多维协同式过程培养,多元一体化毕业考核     

刘建华  刘玮琳 《科教文汇》2022,(1)

经过几十年的探索和发展,食品学科研究生培养积累了经验、取得了成果,但也存在培养过程不严格、考核制度不完善等问题。当前,食品学科应注重科学研究、国际化和师资队伍建设,实施实验记录全监管、鼓励发表科研成果、提高毕业论文要求,从多维协同式培养狠抓学习过程、多元一体化考核提高毕业门槛两大方向,构建食品学科专业人才培养的新模式。  相似文献   

基于术语抽取技术的新闻新词发现方法研究     

张苏  梁颖红  牛丽 《苏州市职业大学学报》2014,(3):14-16

新闻新词的识别在中英文翻译、手机应用推送等方面有着重要作用.通过对网络新闻新词的使用情况、新闻新词的来源和特点的分析,提出一种基于混合策略的高精度长术语抽取技术新闻新词发现的方案.在通过预处理的网络新闻语料中,计算基于词汇NC-value值的互信息以确定词汇内部结构的结合性,通过新闻新词规则处理进行新闻新词发现。  相似文献   

简单零件编程与加工课程的教学改革     

李朔 《包头职业技术学院学报》2014,(2):58-60

对原有的数控编程、数控编程实习、数控机床操作实训课程进行整合,开发出一门"教学做"一体化的"简单零件编程与加工"专业核心课程。主要从教学内容、教学方法与手段、考核评价方式等方面进行改革,并取得的良好的教学效果。  相似文献   

国际比赛背景下短道速滑网络竞赛一体化系统规划研究     

张克峰  单保海  王金炜 《冰雪运动》2014,(6):5-8

国际滑联2013版短道速度滑冰竞赛规则发布后,国际比赛成绩处理系统全面实现了网络化成绩管理。而国内短道成绩处理系统仍然停留在单机版状态,在执行最新规则要求、成绩处理及网络发布等多项功能,据国际滑联成绩处理系统的差距较大。为此,通过对国际成绩处理系统进行系统分析,结合我国竞赛系统实际情况,设计及规划基于信息化平台的短道速滑成绩管理系统,使我国短道速滑竞赛组织达到能够承接国际比赛的需求,对提高我国短道速滑裁判员的竞赛组织、执裁能力及与国际大赛接轨具有重要意义。  相似文献   

执行功能与决策的关系研究述评     

董晓飞  齐冰 《保定学院学报》2014,(4):108-113

决策是指对已有方案进行评估和选择的过程。该领域的研究主要集中在模糊决策、风险决策以及决策启发式三个方面。执行功能在不同类型的决策中有不同程度的参与。梳理执行功能与模糊决策、风险决策、决策启发式的关系研究,指出今后研究中要注意执行功能的个体差异、决策的主观意图以及其他影响因素的作用。  相似文献