2021 International Symposium on Electrical, Electronics and Information Engineering最新文献_第2页

Relation Extraction with Synthetic Explanations and Neural Network 基于综合解释和神经网络的关系提取

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459147

Rozan Chahardoli, Denilson Barbosa, Davood Rafiei

{"title":"Relation Extraction with Synthetic Explanations and Neural Network","authors":"Rozan Chahardoli, Denilson Barbosa, Davood Rafiei","doi":"10.1145/3459104.3459147","DOIUrl":"https://doi.org/10.1145/3459104.3459147","url":null,"abstract":"The state-of-the-art for Relation Extraction, defined as the detection of existing relations between a pair of entities in a sentence, relies on neural networks that require a large number of training examples to perform well. To address that cost, Distant Supervision has become the preferred choice for collecting labeled sentences. However, Distant Supervision has many limitations and often introduces noise into the training set. Recent work has shown an alternative way of training neural methods for relation extraction, namely to provide a small number of annotated sentences and explanations for why those sentences express the relation. Training classifiers with this approach results in accuracy comparable to Distant Supervision, but requires humans to annotate the sentences and provide the explanations. In this paper, we show a way to generate synthetic explanations from a small number of relational trigger words, for each relation, whose resulting explanations achieve comparable accuracy to human produced ones. We validate the method on five relation extraction tasks with different entity types (person-person, person-location, etc.). Furthermore, experiments on two public datasets demonstrate the effectiveness of our generated synthetic explanations, with 6% improvement in accuracy on relation extraction and 19% improvement in F1-score on generating labeled training sentences compared to the next best methods.","PeriodicalId":142284,"journal":{"name":"2021 International Symposium on Electrical, Electronics and Information Engineering","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131033710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Contextualised Word Embeddings Based on Transfer Learning to Dialogue Response Generation: a Proposal and Comparisons 基于迁移学习的语境化词嵌入对对话响应生成的建议与比较

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459169

Thomaz Calasans, Anna Helena Reali Costa, Eduardo R. Hruschka

{"title":"Contextualised Word Embeddings Based on Transfer Learning to Dialogue Response Generation: a Proposal and Comparisons","authors":"Thomaz Calasans, Anna Helena Reali Costa, Eduardo R. Hruschka","doi":"10.1145/3459104.3459169","DOIUrl":"https://doi.org/10.1145/3459104.3459169","url":null,"abstract":"Contextualised word embeddings have recently become essential elements of Natural Language Processing (NLP) systems since these embedding models encode not only words but also their contexts to generate context-specific representations. Pre-trained models such as BERT, GPT, and derived architectures are increasingly present on NLP task benchmarks. Several comparative analyses of such models have been performed, but so far no one compares the most recent architectures in a dialogue generation dataset by considering multiple metrics relevant to the task. In this paper, we not only propose an encoder-decoder system that uses transfer learning with pre-trained word embeddings, but we also systematically compare various pretrained contextualised word embedding architectures on the DSTC-7 dataset, using metrics based on mutual information, dialogue length, and variety of answers. We use the word embeddings as a first layer of the encoder, making it possible to encode the texts in a latent space. As a decoder, we use an LSTM layer and a byte pair encoding tokenisation, aligned with state-of-the-art dialogue systems recently published. The networks are trained during the same amount of epochs, with the same optimisers and learning rates. Considering the quality of the dialogue, our results show that there is no superior technique on all metrics. However, there are relevant differences concerning the computational costs to encode the data.","PeriodicalId":142284,"journal":{"name":"2021 International Symposium on Electrical, Electronics and Information Engineering","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133435130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

LSTM Neural Network-based Predictive Control for a Robotic Manipulator 基于LSTM神经网络的机械臂预测控制

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459127

Edgar Ademir Morales-Perez, H. Iba

引用次数: 0

Key Technologies of Designing and Implementing Thinking Machine 思维机设计与实现的关键技术

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459166

Zhu Ping

引用次数: 0

Paradigms in Scenario-Based Testing for Automated Driving 基于场景的自动驾驶测试范例

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459208

Tino Brade, Birte Kramer, Christian Neurohr

引用次数: 3

Improved Stacked Hourglass Network for Robust 6D Object Pose Estimation 改进的堆叠沙漏网络用于稳健的6D目标姿态估计

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459177

Kun Li, Hui Zhang, Lei Peng

引用次数: 0

Photoluminescent Spectrum Changes Associated With Remanent Polarization Degradation in Sub-100-nm-thick europium-doped Strontium Bismuth Tantalate Red-phosphor Thin Films 亚100纳米厚铕掺杂锶铋钽酸红磷薄膜的光致发光光谱变化与残余极化降解

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459157

K. Aizawa

引用次数: 0

Improvement of Adaptive Lasso in Binary Quantile Regression 二值分位数回归中自适应Lasso的改进

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459190

Sheng Fu

引用次数: 0

Applying CMX Tracking for Identifying the Indoor Positioning of Wireless Devices 应用CMX跟踪识别无线设备的室内定位

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459140

K. Namee, Nimit Srikamta, Somchoke Kittisitthipong, J. Polpinij

{"title":"Applying CMX Tracking for Identifying the Indoor Positioning of Wireless Devices","authors":"K. Namee, Nimit Srikamta, Somchoke Kittisitthipong, J. Polpinij","doi":"10.1145/3459104.3459140","DOIUrl":"https://doi.org/10.1145/3459104.3459140","url":null,"abstract":"Most of today's technology has begun to move towards wireless technology. Even the network technology itself. That has been used WiFi technology, or the full name is Wireless Fidelity to replace the traditional network connection that uses LAN cable. For more convenience to use, it is at this point that WiFi technology is required to use a signal to link data between a user's device and a device in the system. For this reason, most company has a need to provide wireless network service to users. Helps service customers know the location of the users within the building. Allowing customers to use the Free Internet service of customers to promote the location to customers. The researchers have therefore studied and saw the positioning technology of devices entering the access point distribution range. It uses the same positioning theory used in GPS so that service providers can monitor people who enter the building. Also, can be furthered to find the user in different areas to allocate resources in that area appropriately. The technology selected for this propose is CMX because there is a work that meets the needs of all clients and most importantly, all devices in this work, whether they are access points, switches and servers.","PeriodicalId":142284,"journal":{"name":"2021 International Symposium on Electrical, Electronics and Information Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121881284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Highlights on some Robots and Drones for Hazardous Environments 一些机器人和无人机在危险环境的亮点

2021 International Symposium on Electrical, Electronics and Information Engineering Pub Date : 2021-02-19 DOI: 10.1145/3459104.3459114

Andrea Borgese, L. Cantelli, D. Guastella, Giuseppe Sutera, G. Muscato

引用次数: 1