What is vital about reading comprehension, and how it can help you?
Unlocking Data with NLU: How Reading Comprehension and Artificial Intelligence Assist, Augment People
Introduction
Reading comprehension is a critical skill for individuals and businesses alike, as it allows for the efficient and effective understanding of written material. With the increasing volume of information available in today’s fast-paced business environment, the ability to quickly and accurately comprehend written information is more important than ever. Natural Language Processing (NLP) is a field of artificial intelligence that is being used to assist in reading comprehension by allowing machines to understand and respond to human language in a way that mimics human communication.
Machine learning is also used to connect information in a high volume of documents, making it easier to find answers. Intelligent search, which uses NLP and machine learning, is a powerful tool that can help businesses and individuals to find the information they need quickly and easily within large volumes of documents. In this article, we will explore how reading comprehension using NLP and machine learning can assist in comprehending information within documents and connecting information in a high volume of documents and how intelligent search can be used to find answers in documents.
Transforming the Way We Comprehend: The Impact of Artificial Intelligence on Reading and People’s Live
What is reading comprehension?
Decoding, fluency, and vocabulary skills are crucial to reading comprehension and connecting ideas within and between sentences. Most importantly, reading comprehension is the ability to understand a written passage of text.
Comprehend (verb) – to understand something completely
In early-stage at school, we thought that the reading comprehension objective was to fully understand the text that we are reading and will be of great importance in our adult lives. This is very true.
Now that we are older, we have fantastic jobs, work in pleasant offices, or comfort in our own homes. Those lessons that we have learned at school are very much in use. Well, to the point, we can read and comprehend the written word; however, more often, we are overwhelmed by the volume of documents and data. From my experience, I can find the time to read 5-10 papers per day, any more than that, had to wait until I have more time or I am in a better mood.
What about if your company is getting 100, 1,000 or 10,000 plus documents per week? That would be a very tedious, time-consuming job for the human workforce and inevitably prone to errors. What is the better way to discover insights and relationships in the text? Let’s look at Artificial Intelligence and Machine Learning in the paragraphs below.
How can AI tools understand, and comprehend text, the written word in documents?
Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in a text. No machine-learning experience is required. There is a treasure trove of potential sitting in your unstructured data. Machine learning is outstanding at accurately identifying specific items of interest inside vast swathes of text and can learn the sentiment hidden inside language at an almost limitless scale.
Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data. The service identifies the text’s language; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; analyses text using tokenisation and parts of speech, and automatically organises a collection of text files by topic. You can also use AutoML capabilities in Comprehend to build a custom set of entities or text classification models tailored uniquely to your organisation’s needs.
For extracting complex medical information from unstructured text, you can use a dedicated bespoke solution Comprehend Medical. The service can identify medical information, such as medical conditions, medications, dosages, strengths, and frequencies, from various sources like doctor’s notes, clinical trial reports, and patient health records. Comprehend Medical Solution also identifies the relationship among the extracted medication and test, treatment and procedure information for more straightforward analysis. For example, the service determines a particular dosage, strength, and frequency related to a specific medication from unstructured clinical notes.
Empowering Efficiency: The Impact of AI-Assisted Reading Comprehension on People’s Daily Tasks
Benefits
Get better answers from your text – all sources.
Comprehend can discover the meaning and relationships in text from client support incidents, previous or archived cases, in-depth professional articles, feeds, news articles, documents, and other sources. For example, you can identify the feature that’s most often mentioned.
Organise documents by topics
Comprehend solutions can analyse a collection of documents and other text files and automatically organise them by relevant terms or topics. You can then use the topics to deliver personalised content to your customers or provide richer search and navigation. For example, suppose you have an extensive collection of legal or medical articles. In that case, you can automatically group them by subject matter to enable your site to suggest new articles to employees based on what they’ve read previously.
Train models on your data
You can easily extend Comprehend to identify specific terms, such as policy numbers or part codes. You can also develop Comprehend to classify documents and messages in a way that makes sense for your business, like customer support inquiries by request or cases. Adding this customisation requires no machine learning expertise. You provide your labels and a small set of examples for each, and Comprehend takes care of the rest.
Support for general and industry-specific text
Comprehend can discover insights from unstructured text like social media posts, emails, and web pages Powered by state-of-the-art machine learning models. Comprehend Medical also identifies medical information, such as medication and medical conditions, and determines their relationship to each other (e.g., medicine dosage and strength). For example, Comprehend Medical extracts “methicillin-resistant Staphylococcus aureus,” often inputted as “MRSA.” It provides context, such as whether a patient has tested positive or negative, to make the extracted term meaningful.
Revolutionising Reading Comprehension: How Artificial Intelligence is Augmenting People’s Daily Tasks
User stories
Fine-tunned accurate search
You can use Comprehend to provide a better search experience by enabling your search engine to index key phrases, entities, and sentiment. Allows you to focus the search on the context of the articles instead of primary keywords.
Knowledge management and discovery
You can use Comprehend to organise and categorise your documents by topic for easier discovery and then personalise content recommendations for readers by recommending other articles related to the same issue.
Perform Medical Cohort Analysis
In oncology, the proper selection criteria must be quickly discovered to recruit patients for clinical trials. Comprehend Medical understands and identifies complex medical information found in unstructured text to help make indexing and searching easier. You can use these insights to identify and recruit patients for the appropriate clinical trial in a fraction of the time and cost of manual selection processes.
Global customer success stories
LexisNexis Legal & Professional is a global provider of content and technology solutions for legal and business professionals, serving customers in more than 175 countries and offering over 2 billion searchable archives.
“We provide legal professionals with insightful research and analytics to help them make informed decisions. Therefore, we are always looking for better ways to discover insights from legal documents. Thanks to Comprehend’s automatic machine learning (ML), we can now build accurate custom entity recognition models without getting into the complexities associated with ML. The entities that we care about the most, such as judge and attorney, can be identified quickly from over 200 million documents at above 92% accuracy.”
Rick McFarland, Chief Data Officer – LexisNexis
Intelligent Search helps you to discover insights and drive decisions. Discover hidden information in your unstructured document data sets.
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Intelligent Cognitive Search – Working AI Product that leverages AI and NLP to read and understand the most complex legal, financial, and medical documents to discover insightful information. The end user asks questions to find answers – like ChatGPT only for your internal data organisation.
Document Comparison (Data Review) – Working AI Product. Enables legal professional to review thousands of contracts, and legal documents by comparing them against a master copy and by answering set lawyers’ questions. AI and NLP comprehend the questions, and answers are delivered in a single report. Our Document Comparing eliminates time-consuming tasks.
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