Adversarial machine learning techniques in text and audio data involve generating manipulated samples to mislead models. Text attacks often involve word replacements or additions to alter the meaning while maintaining human readability. Various strategies are used to create adversarial text examples

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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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Translation involves transferring written text from one language to another, while interpreting deals with oral communication. Etymologically, the term "translation" comes from Latin meaning "to carry over." It is a process of replacing an original text with another in a different language. Translat

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Text features are essential components of nonfiction texts that authors use to enhance reader comprehension. They include elements such as tables of contents, indexes, glossaries, and titles, each serving a unique purpose in aiding readers to navigate and understand the content. By utilizing these t

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Create captivating visuals with this diverse collection of sample text images. From customizable text layouts to percentage displays, this set offers a range of design elements to elevate your creative projects. Explore different styles, colors, and compositions to enhance your presentations, websit

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Structured text is a high-level text language used in PLC programming to implement complex procedures not easily expressed with graphical languages. It involves logical operations, ladder diagrams, and efficient control logic for industrial automation. Concepts such as sensor input, logic operation

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Explore the practice of annotating text to deepen comprehension for 8th-grade English Language Arts students. Understand the importance of citing textual evidence, identifying themes, and analyzing literary elements. Discover techniques such as marginal notes, questioning, and using the CLOSE Readin

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This instructional text guides learners through the purpose of functional skills in analyzing different types of text, such as skimming and scanning, and understanding the features of various text genres. It includes activities to practice skimming, scanning, and detailed reading, with a focus on de

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Explore the importance of alternate text in Microsoft documents for accessibility. Learn what alternate text is, why and when you should use it, and how to add it effectively. Discover the benefits of incorporating alternate text and the legal aspects related to accessibility under Section 508. Enha

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Open question answering over tables and text is a challenging area in natural language processing. Various paradigms such as text-based QA, table/KB-only QA, and combined text and table QA have been explored. Incompleteness in answering specific questions like identifying the runner-up song on Billb

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Text classification, also known as text categorization, involves assigning predefined categories to free-text documents. It plays a crucial role in organizing and extracting insights from vast amounts of unstructured data present in enterprise environments. With the exponential growth of unstructure

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When analyzing written texts, identifying the purpose and audience is crucial. The purpose reflects the reason behind the text, while the audience indicates who the text is intended for. By recognizing these aspects, one can better understand the content, language, and overall impact of the text. Va

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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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FCC is moving towards implementing the 988 National Suicide Hotline by July 16, 2022. The proposal includes requiring text providers to support text messaging to 988, defining text messages covered, and setting a nationwide implementation deadline. Technical considerations like text routing and boun

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Explore key details about the text-to-911 system, including capturing text conversations, handling abandoned calls, transferring text calls to queues, and managing text conversations effectively. Learn about system configurations, call release timings, and dispatcher capabilities in handling text me

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Test your knowledge on Text-to-911 system operations with this quiz. Learn about capturing text conversations, handling abandoned calls, transferring calls to queues, text conversation timelines, and more. Enhance your understanding of the protocols and procedures involved in managing text-based eme

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This study investigates the effectiveness of GUI-based assignments compared to text-based assignments in a CS1 course. The research explores how student motivation impacts their performance and retention in the course. It also delves into student preferences between GUI-based and text-based assignme

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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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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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Creating reading work samples involves steps like identifying a topic, analyzing passages, drafting tasks, formatting, administering, scoring, and revising tasks. Considerations include text complexity, high student interest, and grade-level appropriateness. Text complexity is assessed quantitativel

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NLP research on discourse coherence explores relations between events and propositions expressed in text, with a focus on combining individual relations into complex coherence structures. The PDTB approach annotates low-level relations in corpora to derive emergent high-level structural representati

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This study delves into the importance of improving text and sub-text level analysis of corpora, highlighting traditional approaches, current tools, challenges, and the necessity for effective database design. It emphasizes the need for user-friendly solutions to enhance research capabilities.

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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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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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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, 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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Text representation and mining play a crucial role in Business Intelligence and Analytics. Dealing with text data, understanding why text is difficult, and the importance of text preprocessing are key aspects covered in this session. Learn about the goals of text representation, the concept of Bag o

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Discover the power of JMP tools for text exploration with examples of data curation steps, quantifying text comments, and modeling ratings data. Learn about data requirements, overall processing steps, key definitions, and the bag of words approach in text analysis using Amazon gourmet food review d

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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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The emerging theme of Computational Sarcasm explores the nuances of understanding, generating, and detecting sarcasm in AI agents. This involves using incongruity within text, sentiment annotation complexity, and emotion engines to develop sarcasm-enabled chatbots. Various approaches such as rule-ba

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Explore the SpeedGrader tools provided by the Writing Across the Curriculum Program at San Jose State University. Discover how to customize settings, use annotation tools for in-text feedback, and provide culminating feedback through assignment comments, media comments, and rubrics. Real-world examp

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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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Today's lecture in the Computational Techniques for Linguists course covered the concept of bigrams using NLTK. Bigrams are pairs of words found in text, which are essential for tasks like random text generation. The lecture demonstrated how to work with bigrams, including examples from the NLTK boo

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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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This resource delves into the significance of text-dependent questions in improving students' reading comprehension skills by emphasizing the importance of evidence from the text, building knowledge through nonfiction, and developing critical thinking abilities. It highlights key advances in educati

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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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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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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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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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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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