An Introduction to Google Docs
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												  Google Docs Accessibility (Pdf)Google Docs Accessibility (A11y) Building Accessible Google Docs • Heading Styles • Images • Table of Contents • Captioning • Columns and Lists • Tables A11y • Tab Stops • Color Contrast • Paragraph Spacing • Headers and Footers • Meaningful Link Text • Accessibility Checker What is Assistive Technology? Assistive Technology (AT) are “products, equipment, and systems that enhance learning, working, and daily living for persons with disabilities.” Magnification Speech Screen Readers Software Recognition Trackball Mouse Keyboard Zoom Text Braille Computer Keyboard Captions/Subtitles Captioned Telephone Video Relay Services Captioning Videos Per federal and state law, and CSU policy, instructional media (e.g., videos, captured lectures, recorded presentations) must have captions. This includes instructional media used in classrooms, posted on websites or shared in Canvas. • All students who are enrolled in a course must be able to access the content in the course. • Faculty: Funding is available to help faculty generate captions and transcripts for instructional media. Materials should be submitted at least six weeks in advance of their use in instruction. • Staff: For CSUN staff who do not provide classroom material, there is a cost through chargeback. For information on the chargeback, email [email protected]. csun.edu/captioning What are Screen Readers Screen readers are a form of assistive technology (AT) software that enables access to a computer, and all the things a computer does, by attempting to identify and interpret what is being displayed on the computer screen using text-to-speech. Screen readers can only access and process live text (fully editable or selectable text). • Provides access to someone who is visually impaired, mobility or has a learning disability to access text on the screen.
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												  Profiles Research Networking Software Installation GuideProfiles Research Networking Software Installation Guide Documentation Version : July 25, 2014 Software Version : ProfilesRNS_2.1.0 Table of Contents Introduction ..................................................................................................................... 2 Hardware and Operating System Requirements ............................................................. 3 Download Options ........................................................................................................... 4 Installing the Database .................................................................................................... 5 Loading Person Data....................................................................................................... 8 Loading Person Data: Part 1 – Importing SSIS Packages into SQL Server msdb Database ..................................................................................................................... 8 Loading Person Data: Part 2 – Importing Demographic Data .................................... 10 Loading Person Data: Part 3 – Geocoding ................................................................ 15 Loading Person Data: Part 4 – Obtaining Publications .............................................. 16 Loading Person Data: Part 5 – Convert data to RDF ................................................. 19 Scheduling Database Jobs ............................................................................................ 21 Installing the Code........................................................................................................
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												  A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering1 A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering Ahmad Abdellatif, Khaled Badran, Diego Elias Costa, and Emad Shihab, Senior Member, IEEE Abstract—Chatbots are envisioned to dramatically change the future of Software Engineering, allowing practitioners to chat and inquire about their software projects and interact with different services using natural language. At the heart of every chatbot is a Natural Language Understanding (NLU) component that enables the chatbot to understand natural language input. Recently, many NLU platforms were provided to serve as an off-the-shelf NLU component for chatbots, however, selecting the best NLU for Software Engineering chatbots remains an open challenge. Therefore, in this paper, we evaluate four of the most commonly used NLUs, namely IBM Watson, Google Dialogflow, Rasa, and Microsoft LUIS to shed light on which NLU should be used in Software Engineering based chatbots. Specifically, we examine the NLUs’ performance in classifying intents, confidence scores stability, and extracting entities. To evaluate the NLUs, we use two datasets that reflect two common tasks performed by Software Engineering practitioners, 1) the task of chatting with the chatbot to ask questions about software repositories 2) the task of asking development questions on Q&A forums (e.g., Stack Overflow). According to our findings, IBM Watson is the best performing NLU when considering the three aspects (intents classification, confidence scores, and entity extraction). However, the results from each individual aspect show that, in intents classification, IBM Watson performs the best with an F1-measure>84%, but in confidence scores, Rasa comes on top with a median confidence score higher than 0.91.
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												  Connected Cl As SroomData in the Cloud he ability to move from one representation monthly temperatures for cities in the United of data to another is one of the key char- States, South America, and Russia. Tacteristics of expert mathematicians and A quick inspection of the graph makes it evi- scientists. Cloud computing will offer more dent that on average it is always colder in Verk- opportunities to create and display multiple hoyansk than in Washington (and much colder representations of data, making this skill in the winter) and that the seasons in the south- even more important in the future. ern hemisphere are reversed. These patterns would have been much more difficult to discern Multiple Representations in a table of numbers alone. We can represent data in a variety of forms— Even young students can explore multiple rep- graphs, charts, tables of numbers, equations. resentations of the same data with software such Mathematicians, scientists, and engineers often as The Graph Club (Tom Snyder Productions). look for patterns in data. Different representations This application allows students to view two of the same data sometimes make it easier to see linked representations of data simultaneously. As a pattern. For example, the pattern in the table children drag icons to form a picture graph or of numbers below is not immediately evident. enter numbers in a simple table, a corresponding bar graph or pie chart takes shape (see Figure 2). Changing the size of a sector in the circle graph or the height of a bar in a bar chart Table 1. changes the pictogram or vice versa.
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												  Voice.AI Gateway One-Click Dialogflow Integration GuideIntegration Guide AudioCodes Intuitive Human Communications for Chatbot Services Voice.AI Gateway Google One-Click DialogFlow Integration Integration Guide Contents Table of Contents 1 Introduction ......................................................................................................... 7 1.1 Purpose .................................................................................................................. 7 2 Messages Sent by Voice.AI Gateway ................................................................ 9 2.1 Welcome Message ................................................................................................. 9 3 Messages Sent by Agent .................................................................................. 11 3.1 Basic Activity Syntax ............................................................................................ 11 3.2 hangup activity ..................................................................................................... 11 3.3 Bot Framework Specific Details ............................................................................ 12 3.3.1 Google Dialogflow ....................................................................................................12 Voice Bot Solutions 3 Voice.AI Gateway One-Click Dialogflow List of Tables Table 2-1: Description of Initial Message Sent by Voice.AI Gateway ...................................................... 9 Table 3-1: Properties of JSON Object Activities.....................................................................................11
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												  Introduction to Google Drive - Wheaton Public Library Introduction to Google Drive What Is Google Drive?Introduction to Google Drive - Wheaton Public Library Introduction to Google Drive What is Google Drive? Google Drive provides a location to store your files. It is not tied to any one device or machine. Rather it is accessible from anywhere, including your home computer, mobile device, or a public machine at a school or library. This type of storage is also called Cloud Storage. Features of Google Drive ● 15 gigabytes of free storage. Additional storage is available for a fee. ● Upload and/or Download capabilities ● Free desktop publishing software that is available through your Google Drive account. ○ Google Docs ~ Microsoft Word ○ Google Sheets ~ Microsoft Excel ○ Google Slides ~ Microsoft PowerPoint ● File sharing - allows other Drive users to view and/or edit files, simultaneously if need be. How Do I Access Google Drive? ● If you have a Gmail account, first go to Google.com, click the Gmail link on the top, right corner of the page, and then log-in with your username and password. ● Click the Waffle icon on the top right corner of the page ● Click the Drive icon Can I Use Google Drive without a Gmail Account? ● You can associate any email address with a Google account ● Go to https://accounts.google.com/signupwithoutgmail  ● Fill out the form using your preferred address (yahoo, comcast, etc.) ● Enter the rest of the form information as requested ● Agree to Google’s terms Screen Layout - Left Menu ● My Drive - displays the contents of your Google Drive, anything that you have  created or uploaded ● Shared with me - Files that you did not personally create, but that you have access  to, are stored here.
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												  Google DriveGOOGLE DRIVE HILLSBORO R-3 SCHOOL DISTRICT TECHNOLOGY DEPARTMENT Table of Contents What is Google Drive? .................................................................................................................................. 2 How to Access Google Drive ......................................................................................................................... 2 Google Drive Window ................................................................................................................................... 2 Google Drive – Viewing Files ......................................................................................................................... 3 Preview Window ........................................................................................................................................... 3 Open in Editing Software .............................................................................................................................. 4 Downloading File .......................................................................................................................................... 4 Printing .......................................................................................................................................................... 5 Share File from the Preview Window ........................................................................................................... 6 To Add Star ...........................................................................................................................................
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												  The Ultimate Guide to Google Sheets Everything You Need to Build Powerful Spreadsheet Workflows in Google SheetsThe Ultimate Guide to Google Sheets Everything you need to build powerful spreadsheet workflows in Google Sheets. Zapier © 2016 Zapier Inc. Tweet This Book! Please help Zapier by spreading the word about this book on Twitter! The suggested tweet for this book is: Learn everything you need to become a spreadsheet expert with @zapier’s Ultimate Guide to Google Sheets: http://zpr.io/uBw4 It’s easy enough to list your expenses in a spreadsheet, use =sum(A1:A20) to see how much you spent, and add a graph to compare your expenses. It’s also easy to use a spreadsheet to deeply analyze your numbers, assist in research, and automate your work—but it seems a lot more tricky. Google Sheets, the free spreadsheet companion app to Google Docs, is a great tool to start out with spreadsheets. It’s free, easy to use, comes packed with hundreds of functions and the core tools you need, and lets you share spreadsheets and collaborate on them with others. But where do you start if you’ve never used a spreadsheet—or if you’re a spreadsheet professional, where do you dig in to create advanced workflows and build macros to automate your work? Here’s the guide for you. We’ll take you from beginner to expert, show you how to get started with spreadsheets, create advanced spreadsheet-powered dashboard, use spreadsheets for more than numbers, build powerful macros to automate your work, and more. You’ll also find tutorials on Google Sheets’ unique features that are only possible in an online spreadsheet, like built-in forms and survey tools and add-ons that can pull in research from the web or send emails right from your spreadsheet.
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												  Case 6:20-Cv-00573-ADA Document 1 Filed 06/29/20 Page 1 of 36Case 6:20-cv-00573-ADA Document 1 Filed 06/29/20 Page 1 of 36 IN THE UNITED STATES DISTRICT COURT FOR THE WESTERN DISTRICT OF TEXAS WACO DIVISION WSOU INVESTMENTS, LLC d/b/a § BRAZOS LICENSING AND § DEVELOPMENT, § CIVIL ACTION NO. 6:20-cv-573 § Plaintiff, § JURY TRIAL DEMANDED § v. § § GOOGLE LLC, § § Defendant. § § ORIGINAL COMPLAINT FOR PATENT INFRINGEMENT Plaintiff WSOU Investments, LLC d/b/a Brazos Licensing and Development (“Brazos” or “Plaintiff”), by and through its attorneys, files this Complaint for Patent Infringement against Google LLC (“Google”) and alleges: NATURE OF THE ACTION 1. This is a civil action for patent infringement arising under the Patent Laws of the United States, 35 U.S.C. §§ 1, et seq., including §§ 271, 281, 284, and 285. THE PARTIES 2. Brazos is a limited liability corporation organized and existing under the laws of Delaware, with its principal place of business at 605 Austin Avenue, Suite 6, Waco, Texas 76701. 3. On information and belief, Google is a Delaware corporation with a physical address at 500 West 2nd Street, Austin, Texas 78701. JURISDICTION AND VENUE 4. This is an action for patent infringement which arises under the Patent Laws of the United States, in particular, 35 U.S.C. §§ 271, 281, 284, and 285. 1 Case 6:20-cv-00573-ADA Document 1 Filed 06/29/20 Page 2 of 36 5. This Court has jurisdiction over the subject matter of this action under 28 U.S.C. §§ 1331 and 1338(a). 6. This Court has specific and general personal jurisdiction over the defendant pursuant to due process and/or the Texas Long Arm Statute, because the defendant has committed acts giving rise to this action within Texas and within this judicial district.
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												  Recovering Semantics of Tables on the WebRecovering Semantics of Tables on the Web Petros Venetis Alon Halevy Jayant Madhavan Marius Pas¸ca Stanford University Google Inc. Google Inc. Google Inc. [email protected] [email protected] [email protected] [email protected] Warren Shen Fei Wu Gengxin Miao Chung Wu Google Inc. Google Inc. UC Santa Barbara Google Inc. [email protected] [email protected] [email protected] [email protected] ABSTRACT away. Furthermore, unlike text documents, where small changes The Web offers a corpus of over 100 million tables [6], but the in the document structure or wording do not correspond to vastly meaning of each table is rarely explicit from the table itself. Header different content, variations in table layout or terminology change rows exist in few cases and even when they do, the attribute names the semantics significantly. In addition to table search, knowing are typically useless. We describe a system that attempts to recover the semantics of tables is also necessary for higher-level operations the semantics of tables by enriching the table with additional anno- such as combining tables via join or union. tations. Our annotations facilitate operations such as searching for In principle, we would like to associate semantics with each table tables and finding related tables. in the corpus, and use the semantics to guide retrieval, ranking and To recover semantics of tables, we leverage a database of class table combination. However, given the scale, breadth and hetero- labels and relationships automatically extracted from the Web. The geneity of the tables on the Web, we cannot rely on hand-coded database of classes and relationships has very wide coverage, but domain knowledge.
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												  A Simple Generic Attack on Text CaptchasA Simple Generic Attack on Text Captchas Haichang Gao1*, Jeff Yan2*, Fang Cao1, Zhengya Zhang1, Lei Lei1, Mengyun Tang1, Ping Zhang1, Xin Zhou1, Xuqin Wang1 and Jiawei Li1 1. Institute of Software Engineering, Xidian University, Xi’an, Shaanxi, 710071, P.R. China 2. Security Lancaster & School of Computing and Communications, Lancaster University, UK ∗Corresponding authors: [email protected], [email protected] Abstract—Text-based Captchas have been widely deployed attacked many early Captchas deployed on the Internet [19]. across the Internet to defend against undesirable or malicious Yan and El Ahmad broke most visual schemes provided at bot programs. Many attacks have been proposed; these fine prior Captchaservice.org in 2006 [24], published a segmentation art advanced the scientific understanding of Captcha robustness, attack on Captchas deployed by Microsoft and Yahoo! [25] but most of them have a limited applicability. In this paper, in 2008, and broke the Megaupload scheme with a method we report a simple, low-cost but powerful attack that effectively of identifying and merging character components in 2010 [1]. breaks a wide range of text Captchas with distinct design features, including those deployed by Google, Microsoft, Yahoo!, Amazon In 2011, Bursztein et al. showed that 13 Captchas on pop- and other Internet giants. For all the schemes, our attack achieved ular websites were vulnerable to automated attacks, but they a success rate ranging from 5% to 77%, and achieved an achieved zero success on harder schemes such as reCAPTCHA average speed of solving a puzzle in less than 15 seconds on and Google’s own scheme [5].
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												  Quick Guide for Google Docs SpreadsheetsSESSION 5: HANDOUT 9 (EXPLORE) Quick Guide for Google Docs Spreadsheets If a member of your group does not already have a Google account, one person will need to create one. The account is free, and many school districts are encouraging the use of free online software to reduce costs. If your district or school uses other spreadsheet software, you will want to use that software with students. For now, you will create a basic spreadsheet using Google Docs that can be saved online and then accessed at the other centers. In Session 6, you will explore using Google Docs in more depth. Note: Google Docs is soon changing to Google Drive. Exact instructions for accessing and using the soft- ware may change as a result. Creating a Google Account 1. Go to http://www.google.com. 2. Select “Sign In” in the upper right corner. A new screen will open. 3. Select “Sign Up” in the upper right corner. A new screen will open. 4. Enter the requested information and follow the directions provided. Creating a Google Docs Spreadsheet 1. Log in to the Google account. 2. Access Google Docs. If you do not see a Documents option, look under “More.” 3. On the main Google Docs window, click the “Create” button. Select “Spreadsheet” from the drop-down menu. 4. A window will appear that looks similar to the one below. 5. The spreadsheet is made up of a series of rows (1–10 in the image) and columns (A–G in the image). The box at the intersection of a row and a column is called a cell.