Opening Data with NLU: How Reading Comprehension and Artificial Intelligence Assist, Augment People | Article

Reading comprehension is a critical skill for individuals and businesses, as it allows for an efficient and practical 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 critical than ever. Natural Language Processing (NLP) is a field of artificial intelligence that assists 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 to help businesses and individuals 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 Lives’

‘Automated extraction of data from international legal treaties’

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The high volume of information in documents: The only possible way is to comprehend it with AI and summarise the core insights

Reading comprehension using natural language processing (NLP) and artificial intelligence (AI) can assist and augment people in their daily tasks by providing a much more efficient and accurate way of understanding and extracting information from a wide range of documents. With the ability to understand and interpret natural language, NLP algorithms can quickly and easily comprehend the meaning of text within a document, making it much easier for people to find the information they need.

Additionally, machine learning algorithms can connect information across large volumes of documents, making it possible to find answers to complex questions even when they are spread out across multiple sources. This can be particularly useful in industries such as law and finance, where large amounts of data must be analyzed and understood quickly and accurately.

Intelligent search can also make it much easier for people to find answers within documents. Using natural language processing and machine learning algorithms, intelligent search can understand the meaning of the text and provide relevant results even when the user’s query is not an exact match. This can save a lot of time and effort for people trying to find specific information within a large document and help them be more productive and efficient in their work.

Overall, reading comprehension using natural language processing and artificial intelligence can be a powerful tool for assisting and augmenting people in their daily tasks, making it easier and more efficient for them to understand and extract information from a wide range of documents. With the ability to comprehend natural language and connect information across multiple sources, these technologies can help people to make sense of large amounts of data and find answers to complex questions quickly and accurately.

 

Some interesting facts and statistics about comprehending information using Natural Language Understanding from documents to unlock data and assist people

1. According to a study by McKinsey, AI-based document processing can reduce the time spent on document review by up to 80%.
2. A report by Accenture states that AI-based document understanding can improve data entry accuracy by up to 90%.
3. Research by Deloitte suggests that organizations can see a potential 20-30% increase in productivity by using AI-assisted document comprehension.
4. Gartner predicts that by 2022, AI will be responsible for more than half of all document-related tasks which humans currently do.
5. A study by the University of Cambridge found that AI-assisted document comprehension can improve information retrieval speed by up to 50%.
6. A survey by PwC found that 72% of companies using AI-based document understanding reported improved data quality, while 63% reported improved process efficiency.

‘The AI Revolution in Reading Comprehension: How it Augments People and Unlocks Data’

‘Automated extraction from complex legal agreements’

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What is reading comprehension?

Decoding, fluency, and vocabulary 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 school, we thought that the reading comprehension objective was to fully understand the text we are reading, which 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 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, and any more than that, I have to wait until I have more time or I am in a better mood.

What about if your company gets 100, 1,000 or 10,000 plus documents per week? That would be a 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 and 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.

To extract complex medical information from unstructured text, you can use a dedicated bespoke solution called Comprehend Medical. The service can identify medical information from doctor’s notes, clinical trial reports, and patient health records, such as medical conditions, medications, dosages, strengths, and frequencies. Comprehend Medical Solution also identifies the relationship between the extracted medication and test, treatment, and procedure information for a 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’

‘AI-based document processing for multilingual legal contracts’

Benefits, Advantages and Added Value

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 issues 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 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’

‘AI-powered document comparison for cross-border legal cases’

 User stories

Fine-tunned accurate search

Comprehend can provide a better search experience by enabling your search engine to index key phrases, entities, and sentiments. It 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

The proper selection criteria must be quickly discovered in oncology 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.

‘Intelligent document processing for niche market law firms’

Global customer success stories

LexisNexis Legal & Professional is a global provider of content and technology solutions for legal and business professionals. It serves customers in more than 175 countries and offers 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 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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How to Get Started Leveraging AI?

New innovative AI technology can be overwhelming—we can help you here! Using our AI solutions to Extract, Comprehend, Analyse, Review, Compare, Explain, and Interpret information from the most complex, lengthy documents, we can take you on a new path, guide you, show you how it is done, and support you all the way.
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Lucja Czarnecka

The Blog Post, originally penned in English, underwent a magical metamorphosis into Arabic, Chinese, Danish, Dutch, Finnish, French, German, Hindi, Hungarian, Italian, Japanese, Polish, Portuguese, Spanish, Swedish, and Turkish language. If any subtle content lost its sparkle, let’s summon back the original English spark.