Gallery — Two-column

In the last few years the resolution of NLP tasks with architectures composed of neural models has taken vogue. There are many advantages to using these approaches especially because there is no need to do features engineering. In this paper, we make a survey of a Deep Learning architecture that propose a resolutive approach to some classical tasks of the NLP. The Deep Learning architecture is based on a cutting-edge model that exploits both word-level and character-level representations through the combination of bidirectional LSTM, CNN and CRF. This architecture has provided cutting-edge performance in several sequential labeling activities for the English language. The architecture that will be treated uses the same approach for the Italian language. The same guideline is extended to perform a multi-task learning involving PoS labeling and sentiment analysis. The results show that the system performs well and achieves good results in all activities. In some cases it exceeds the best systems previously developed for Italian.

This paper provides a sample of a LATEX document for the NIME conference series. It conforms, somewhat loosely, to the formatting guidelines for ACM SIG Proceedings. It is an alternate style which produces a tighter-looking paper and was designed in response to concerns expressed, by authors, over page-budgets. It complements the document Author’s (Alternate) Guide to Preparing ACM SIG Proceedings Using LATEX2ε and BibTEX. This source file has been written with the intention of being compiled under LATEX2ε and BibTeX.

This is a skeleton file demonstrating the use of IEEEtran.cls (requires IEEEtran.cls version 1.8b or later) with an IEEE Computer Society conference paper. For other IEEE conferences, please see the IEEE conference paper template, and to find additional IEEE templates please use the tags below. IEEEtran.cls version: 1.8b

This demo file is intended to serve as a ``starter file'' for IEEE conference papers produced under LaTeX using IEEEtran.cls version 1.8b and later. This is one of a number of templates using the IEEE style that are available on Overleaf to help you get started - use the tags below to find more. IEEEtran.cls version: 1.8b

Template for the the final project of the course.

For an electron moving in a circular path in a magnetic field, if we know the magnetic field strength, accelerating voltage, and radius of the electron's trajectory, then we can make an estimation of the electron's charge to mass ratio. We calculated an average charge to mass ratio of \(2.08 \times 10^{11} \pm 1.81 \times 10^8\) Coulombs per kilogram.

本次Lab设计一个家庭（宿舍、实验室）网络。说明用户需求（功能及服务），采用的技术（802.11/802.3）及主要设备的型号、传输介质及其特性，给出网络结构的描述（可用Visio工具绘图），所需费用；提出一些与技术与应用相关的问题。ISP提供的接口：有线电视、移动、联通、电信 用户计算机数：台式机、笔记本、智能手机使用方式及性能：固定、移动；带宽需求典型设备：AP路由器、交换机、专用服务器网络安装与测试费用：设备购置、使用费、维护费。

A two column article template (slightly opinionated with a bit of preamble creep).

Report without cover page Created by Zengjie Xia on 30/01/2018. Copyright © 2018 Zengjie Xia. All rights reserved.