Data annotation - PowerPoint PPT Presentation


Transforming Scientific Data Standardization with Large Language Models (LLMs)

Large Language Models (LLMs) to standardize scientific data, including data format standardization, automatic extraction of metadata, data annotation, data quality assessment, data cleaning, and documentation.

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Revolutionizing Marine Mammal Detection using Geospatial Artificial Intelligence

Delve into the groundbreaking development of an operational system utilizing geospatial artificial intelligence to detect marine mammals in very high-resolution satellite imagery. Explore the global interest, monitoring platforms, proof of concept, limitations, future possibilities, and innovative a

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Integrating UDL and Social Annotation Through Hypothesis Workshop

Learn how to incorporate Universal Design for Learning (UDL) principles with social annotation using Hypothesis Workshop. Discover the benefits of social annotation, ways to align it with UDL, practical assignment examples, and engage in interactive sessions. Join the workshop to enhance student eng

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Bioinformatics

Bioinformatics involves analyzing biological sequences through sequence alignment to uncover functional, structural, and evolutionary insights. This process helps in tasks like annotation of sequences, modeling protein structures, and analyzing gene expression experiments. Basic steps include compar

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Ask On Data for Efficient Data Wrangling in Data Engineering

In today's data-driven world, organizations rely on robust data engineering pipelines to collect, process, and analyze vast amounts of data efficiently. At the heart of these pipelines lies data wrangling, a critical process that involves cleaning, transforming, and preparing raw data for analysis.

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Data Wrangling like Ask On Data Provides Accurate and Reliable Business Intelligence

In current data world, businesses thrive on their ability to harness and interpret vast amounts of data. This data, however, often comes in raw, unstructured forms, riddled with inconsistencies and errors. To transform this chaotic data into meaningful insights, organizations need robust data wrangl

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Tools for Better Remote Teaching and Learning with ZoomIt

Enhance your remote teaching with ZoomIt, a Microsoft-based screen zoom and annotation tool. Easily zoom in/out, annotate, markup, draw on screen, and capture notes in real-time. Access various options, set hotkeys, adjust zoom magnification, and utilize drawing modes efficiently to engage students

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Annotating Your Design Work: Importance and Techniques

Understanding the significance of annotation in design work, this content emphasizes the value of providing short comments to explain design decisions. Learn how annotating your designs can enhance clarity, communication, and overall appreciation of your creative ideas.

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Efficiently Grade Assignments with SpeedGrader in Canvas

Learn how to use SpeedGrader in Canvas to grade assignments quickly and effectively. Access SpeedGrader from your Dashboard or directly from assignments. Easily provide feedback, assign grades, and utilize annotation tools for detailed feedback.

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Understanding Anthropometrics and Ergonomics in Design

Explore the principles, applications, and design influence of anthropometrics and ergonomics. Learn how data shapes our environment and enhances product quality. Discover the significance of anthropometric data and ergonomics in design, and engage in hands-on tasks to apply these concepts practicall

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Understanding Data Governance and Data Analytics in Information Management

Data Governance and Data Analytics play crucial roles in transforming data into knowledge and insights for generating positive impacts on various operational systems. They help bring together disparate datasets to glean valuable insights and wisdom to drive informed decision-making. Managing data ma

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Mastering the Literature Review Process

Understanding the significance of literature review, this guide emphasizes the essential steps involved in conducting a successful literature review - from planning and research problem identification to critical analysis and contribution to existing literature. It explains the importance of develop

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Identifiers and Servers for Data Visualization and Exchange

Craig L. Zirbel at Bowling Green State University offers services through the BGSU RNA group for analyzing and annotating RNA 3D structures. They focus on Watson-Crick and non-Watson-Crick base pairs, base stacking, interactions, and motif searches. The group's ultimate goal is to predict 3D motifs

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Engaging Literature Analysis Activities for Effective Learning

Explore activities like daily edits, memoir writing, annotation, vocabulary exploration, and identifying author's purpose and tone to enhance literary understanding. Encourage critical thinking and text analysis through engaging tasks.

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AI-based Detection of Malaria: Overview and Challenges

This presentation delves into the utilization of AI for malaria detection, showcasing the background that led to the creation of TG-Malaria. Highlighting the current burden of malaria in Uganda and other developing nations, it addresses challenges in microscopy diagnosis due to a lack of trained tec

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Understanding Data Collection and Analysis for Businesses

Explore the impact and role of data utilization in organizations through the investigation of data collection methods, data quality, decision-making processes, reliability of collection methods, factors affecting data quality, and privacy considerations. Two scenarios are presented: data collection

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Corpus Creation for Sentiment Analysis in Code-Mixed Tulu Text

Sentiment Analysis using code-mixed data from social media platforms like YouTube is crucial for understanding user emotions. However, the lack of annotated code-mixed data for low-resource languages such as Tulu poses challenges. To address this gap, a trilingual code-mixed Tulu corpus with 7,171 Y

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Advancing Coreference Resolution: Transfer Model by Patrick Xia and Benjamin Van Durme

Coreference resolution models are crucial for identifying spans of text referring to the same entity. Explore the advancements in coreference resolution, including dataset differences, annotation types, and domain variations through the work of Patrick Xia and Benjamin Van Durme. Dive into the compl

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Comparison of Note-Taking Tools for Students

Explore various note-taking tools such as those for Mac, PC, iPad/iPhone, and more with their advantages and disadvantages as shared by students from different classes. Learn about features like stylus support, annotation capabilities, organization options, and device compatibility to make an inform

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Optimizing Cost Reduction Strategies in E-Discovery

Explore strategies for minimizing the expected costs of document review in E-Discovery processes, focusing on the joint considerations of responsiveness and privilege. Various ideas are presented, including population annotation, automated classification, multi-stage manual reviews, and task-based m

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Enhancing Biological Context Annotation for AOPs: A Comprehensive Approach

Manual creation and homogenization of biological context annotations for AOPs and key events help in interlinking different AOPs to understand possible connections between pathways. The process involves compiling AOPs for various organisms, including humans and model species, annotating key events w

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Understanding Bacterial Comparative Genomics: A Comprehensive Overview

Delve into the realm of bacterial comparative genomics with insights on terminologies, assembly methods, annotation processes, and two key approaches to microbial genomics. Explore the basics of genomics terminology, assembly-based and variant-based analyses, as well as annotation methods for protei

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Innovative Tools and Approaches in Language Annotation and Visualization at CLARIN 2020

Presentations at CLARIN 2020 Session focused on annotation and visualization tools, including a neural syntax annotator for Dutch and German, exploring and visualizing Wordnet data with GermaNet Rover, named entity recognition for distant reading in ELTeC, and the semi-automatic analysis of spontane

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Integrating CMDI for Metadata Editing and Kinship Data Annotation

Explore the integration of CMDI for metadata editing in resources, including open/closed vocabularies, Arbil interface for vocabulary management, ELAN for resource annotation, and KinOath for kinship data. Discover how CMDI improves data annotation and vocabularies management in linguistic research.

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ELAN as a Tool for Oral History Workshop Summary

ELAN, a tool developed over 15 years at the Max-Planck-Institute for Psycholinguistics, is utilized in various research contexts like language documentation, acquisition studies, gesture studies, and sign language studies. The workshop covers the introduction to ELAN, basic and advanced features, an

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Analyzing Argumentative Discourse Units in Online Interactions Workshop

This workshop delves into the analysis of argumentative discourse units in online interactions, emphasizing the segmentation, classification, and relation identification processes. It discusses challenges in annotation and proposes a two-tiered annotation scheme involving expert annotators and novic

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GPress: A Framework for Querying Genome Annotation Files in Compressed Form

Genome projects generate large GFF files which require significant storage space. GPress offers a solution by compressing GFF files while allowing quick searches and random access. The framework addresses challenges faced by current GFF utilities, providing a more efficient approach to managing and

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Overcoming Challenges in Dental Deep Learning: Presentation Insights

This presentation by Martha Büttner at the AI for Dentistry Symposium delves into current challenges in dental deep learning, highlighting issues like data sharing, annotation bottlenecks, and comparability gaps. The talk proposes a solution through Federated Learning, showcasing a project on Tooth

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Harmonizing DICOM SR and AIM for Enhanced Clinical Annotation Workflow

Mechanisms like DICOM SR and AIM offer ways to encode annotations in medical imaging, each with unique benefits. The goal is to establish bi-directional mapping for interoperability between DICOM SR-based systems and AIM workstations, particularly for tasks like tumor measurements and clinical repor

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Importance of Functional Annotation of Animal Genomes in NIH Research

Functional Annotation of Animal Genomes (FAANG) is crucial for associating sequence variation with quantitative phenotypes in domestic animals, serving as important models for human health, disease, and ecology. The NIH actively participates in various genome projects involving cattle, horses, and c

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Advances in Digital Humanities: CLARIN2020 Sessions Overview

Presentations at CLARIN2020 highlighted enhancements to research tools, reproducible annotation services, and the transition to more generalized repository systems. Discussions encompassed the optimization of Wittgenstein research tools, reproducibility in WebLicht workflows, and the implementation

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Automatic Extraction Model of Thesis Research Conclusion Sentences

Full-text academic literature contains rich data that can be analyzed using machine learning techniques. This research focuses on extracting thesis research conclusion sentences automatically to enhance summarization processes. The study involves data processing, annotation, and creating discriminan

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Insights into 3D Chromatin Conformation Analysis

Chromatin conformation analysis is crucial for understanding gene expression dynamics. Today's program covers topics such as 3D chromatin organization, Hi-C method, biases in Hi-C data analysis, and integrated analysis of data sources. Techniques like Chromosome Conformation Capture Technologies and

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Geospatial Video Search and Viewable Scene Modeling

Explore the innovative research on georeferenced video search and viewable scene modeling. Learn about automatic annotation, camera direction modeling, data acquisition, and indexing for enhanced video retrieval. The study focuses on capturing the field-of-view, meta-data acquisition, and synchroniz

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Cognitive Study of Subjectivity Extraction in Sentiment Annotation

A cognitive study on extracting subjectivity in sentiment annotation, exploring if humans perform subjective extraction similarly to machines for sentiment analysis. The study investigates sentiment oscillations and different methods adopted based on the nature of subjective documents.

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Analyzing Representation of Sex Scenes in Ghanaian Films

Exploring the portrayal of sexual intercourse in Ghanaian films against cultural values, this study introduces a multimodal annotation scheme for analysis. Addressing concerns raised by the public, it delves into the complexities of conveying sex in a culture that tends to discourage open discussion

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Understanding Java Persistence API (JPA) for Data Management in Java Applications

Java Persistence API (JPA) is a specification that provides a framework for managing relational data in Java applications. It simplifies ORM solutions, offers vendor independence, and supports test-driven development with annotation-driven mapping.

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Open Source Software Initiative Progress Update

The Open Source Software initiative progress update provides insights into the work accomplished during e-meetings, focusing on the development of a modular annotation tool shared by a focus group. The group's activities, such as drafting requirements, analyzing survey results, and setting up collab

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Dialogue Annotation Scheme for Weight Management Chat

Obesity is a prevalent issue with individuals seeking ways to change their health behaviors. The article explores a dialogue annotation scheme using the Trans-Theoretical Model of Health Behavior Change. It delves into stages like precontemplation, contemplation, preparation, action, and maintenance

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Weak Supervision for NLP: Overcoming Labelled Data Challenges

Addressing the challenge of acquiring labelled data for NLP models, weak supervision techniques offer solutions through alternative annotation methods and leveraging diverse data sources. This talk highlights the importance of overcoming the scarcity of labelled data in machine learning and NLP task

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