Analytics, AI/ML

10 Use Cases For Natural Language Generation (NLG) In The Government Sector

Cogent Infotech
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Dallas, TX

10 Use Cases For Natural Language Generation (NLG) In The Government Sector

Did you know that every day, government agencies and nation-states produce a huge amount of data? According to a study by IDC, the world will produce 175 zettabytes of data by 2025, which is a tremendous amount!

However, as the government will be responsible for managing, storing, and using a big chunk of this data, it has to make sure that the data is properly analyzed and shared. It can be challenging for government apparatuses to operate on the data, make sense of a lot of information and get it across to people. This is where Natural Language Generation (NLG) comes in, filling the gap between raw data and ideas that make sense.

NLG uses artificial intelligence (AI) and machine learning (ML) algorithms to turn raw data into stories that sound like they were written by a person. This changes how governments work and how they talk to their citizens.

In this piece, let's take a look at the exciting world of NLG and see how it is changing the way the government works in many different areas, from how it serves citizens to how it makes decisions.

Enhancing Government Operations: 10 Powerful Applications of Natural Language Generation (NLG)

1. Automated Report Generation

Making reports is an important job in the government field that demands significant resources and work hours. Traditional ways of making reports by hand are also labor-intensive and time-consuming. But since NLG was adopted, automatic report creation has changed everything.

A study done by McKinsey & Company shows that, on average, government workers spend 20% of their workweeks looking for and gathering information. This important time could be put to better use by making decisions and giving people the benefits they need.

NLG offers a solution by automating the process of making reports. This makes it possible for government agencies to get insights from complicated records and turn them into clear and concise tales quickly.

Also, NLG makes a big difference in how accurate and consistent automatic reports are. Fewer mistakes are made by humans when interpreting data and making reports by hand. This makes sure that the reports that are made give lawmakers and stakeholders accurate and reliable information.

This is very important in the government sector, where making decisions based on data is a key part of making good policies and sharing resources.

The U.S. Department of Labour is a good example of this because it used NLG to automate its jobless records. By using NLG technology, the time it took to make these reports went from several days to just a few minutes. This gave lawmakers real-time information about how unemployment was changing, which helped them make better choices and come up with better ways to meet the needs of people.

Through NLG, automated report creation also helps make the government more open and responsible. By making clear stories out of data, NLG helps government departments tell the public about their actions, progress, and results in a way that is more accessible and easy to understand. This makes government processes and decisions more clear to the people and increases their trust in them.

2. Policy and Legislation Drafting

Writing policies and laws is a complicated process that requires paying close attention to details and following the law. NLG has become a useful tool in the government sector for making this important job easier and more efficient.

The National Conference of State Legislatures did a study and found that each year, the average state assembly looks at thousands of bills. Writing these bills is time-consuming and requires comprehensive study, analysis, and relevant legal knowledge. NLG makes this process easier by automatically making policy and law draughts based on rules and models that have already been set up.

NLG programs can review a huge amount of legal knowledge, such as laws, rules, and past court decisions. By pulling out useful information from this data, NLG can make detailed draughts that meet law standards and policy goals. This saves government offices time and makes sure that the writing process is consistent and accurate.

Also, NLG makes it easier for people to work together and lowers delays in writing policies and laws. Through NLG-powered platforms, people with different interests, such as lawmakers, legal experts, and subject matter experts, can work together better. These platforms make it easy to work together in real-time, keep track of different versions, and easily combine different inputs. This speeds up processes and makes it easier to make decisions.

The European Commission is a good example of a group that has used NLG technology to improve the writing of laws. Using NLG algorithms, they have been able to make outlines and explanations of legislative ideas automatically. This has cut down a lot on the time it takes to write and print laws, making it easier for lawmakers to deal with new problems as they come up.

3. Open Data Narratives

The idea of "open data" is that some information should be free for anyone to access, use, and share. In the government sector, attempts to share open data are gaining steam. States are sharing huge amounts of data to make the government more open, responsible, and innovative. Natural Language Generation (NLG) is becoming a useful tool for making easy-to-understand stories from this data.

Open data is usually made up of large data sets with a lot of information. But most people may not be able to understand raw data on its own. NLG fills this gap by researching and making sense of open data to make stories that explain the numbers and give context, insights, and stories.

Using NLG, government organizations can turn hard-to-understand statistics into interesting stories that are easy to understand. For example, NLG algorithms can assess unemployment rates, economic factors, and population data to make reports and stories that show trends, patterns, and how government policies affect different parts of society. The public can then find out about these stories through government websites, social media, and other ways of getting information out.

NLG also lets government agencies use data to tell stories that work for different groups. For example, NLG algorithms can make stories in more than one language or change how hard they are depending on how much the audience knows. This makes sure that open data stories are available to a wide range of people, no matter where they come from or how much they know.

The New York City Open Data website is a great example of how NLG can be used to tell stories about open data. People can find plenty of information on the site about travel, schools, health, and public safety, among other things. NLG technology is used to turn this data into stories that describe important trends, problems, and changes in the city.

This makes the data easier to understand and more interesting to read. These stories give people the tools they need to study and understand the facts, which helps them understand the city's problems and opportunities better.

4. Citizen Service Chatbots

Serving the public, chatbots are virtual assistants that use a technology called Natural Language Generation (NLG) to connect with people and give them information, help, and support. These robots are made to talk like people and help people find their way around government services, answer questions, and get personalized help.

By adding NLG to computer systems, government agencies can make their services to people more useful and faster. Chatbots that use NLG can understand and process what people say, make responses that sound like they came from a real person, and give true and useful information. This lets people get the services they need without needing much manual intervention or having to wait for a long time.

NLG can help answer a wide range of questions and requests, which makes them great helpers. These robots can answer simple questions about government schemes, who is eligible, and how to apply. NLG lets robots change how they answer based on what the user wants. Every encounter is different and helps.

Robots that are run by NLG could help with things like paperwork, applications, and government services. These robots have step-by-step directions, feedback in real-time, and mechanical responses that can be changed. Some government jobs could be done better, save time, and make people happy if they were done by machines.

The Singapore government helps people by using the "Ask Jamie" robot, which is driven by NLG. Jamie is good at using NLG to understand and answer questions. The robot tells you about services, rules, and how the government works. This makes the government easier to run and makes service better.

5. Compliance Reporting

Compliance reporting is an important part of the government because it makes sure that rules, policies, and standards are being followed. Natural Language Generation (NLG) is an important part of automating and easing compliance reporting processes, which makes them more accurate, efficient, and clear.

NLG technology can skim through a huge corpus of data and make reports that are clear, accurate, and thorough. Government offices have to spend significant resources on compliance reports because they have to deal with complicated data sets and rules. By simplifying the process of making compliance reports with NLG, agencies can save time and reduce the chance that they will make a mistake.

NLG-powered systems can pull useful information from multiple data sources, examine the data, and turn raw data into stories that people can understand. These stories give detailed views, reviews, and accounts of compliance data so that stakeholders can understand the results and make smart decisions.

Also, NLG can make sure that all offices and agencies report on compliance in the same way and follow the same rules. NLG systems can make reports with the right style and structure by using models and rules already set up. This routine makes it easy to synergize, compare and assess, and it also makes things more forthcoming and responsible.

In the United States, one group that uses NLG to report on compliance is the Federal Financial Institutions Examination Council (FFIEC). The FFIEC uses NLG to automatically make reports about how well financial institutions are following the rules. NLG tools evaluate the data, pick out the most important results, and make reports with clear explanations and helpful insights. This technology has made compliance reports in banks much more accurate and efficient.

6. Risk Assessment and Fraud Detection

Fraud and risk assessment are important parts of government business control. Natural Language Generation (NLG) can make these processes much better by researching huge amounts of data, finding possible risks, and giving ideas that can be used to stop theft.

Using NLG technology, useful information from different sources can be pulled together and analyzed to find trends, outliers, and possible red flags. NLG systems can make reports that point out possible risks and make ideas for how to deal with them because they can handle data quickly and properly.

There are many different kinds of data that government offices deal with, such as cash transactions, records on people, and buying data. Systems that are run by NLG can review this data to find strange patterns and possible scams. The stories that are made can help government employees understand the risks that have been found and take the right steps to stop theft and protect public resources.

Also, NLG can improve risk assessment by making it easier to make risk assessment reports. Instead of directly researching and writing reports, NLG systems can turn complicated data into easy-to-understand stories. This saves the government both time and money.

NLG can also help find fraud by finding mistakes and oddities in financial deals, buying processes, and other places where fraud is likely to happen. By evaluating huge amounts of data, NLG systems can find deals or actions that seem strange and make reports that show possible scam risks.

7. Data-driven Decision Making

To make choices, the government needs correct and up-to-date information. NLG can turn complicated data into useful stories for government officials, which helps them make decisions based on data.

NLG technology can examine data and make reports with insights and other useful information. NLG tools help government workers find trends, patterns, and important points by turning raw data into stories.

Government offices keep track of data about the population, the economy, health, and other things. This info can be simplified by NLG. Officials in the government can use data stories to make choices that will help improve policies, projects, and services.

NLG could help with urban planning. NLG systems can tell stories about things like population growth, traffic trends, the environment, and the increase of infrastructure to help city leaders make better choices.

With NLG info, government officials can get reports on important problems right away. NLG can look at the number of infections, the size of hospitals, and the number of people who get vaccinated to help people make decisions about public health problems. This helps them come up with focused ideas, get the most out of their resources, and act quickly to new problems.

8. Emergency Response Communications

During a disaster, you should speak quickly and correctly to keep people safe and let them know what's going on. Natural Language Generation (NLG) may be able to send correct and up-to-date emergency alerts through text messages.

Using gadgets, social media, and government data, NLG technology can send notes, emails, and changes right away. These messages can be changed and sent out by SMS, email, social media, and website comments for natural disasters, public health problems, and security issues.

During a disaster, government organizations must share information about safety, escape paths, and reports on the situation. NLG can reduce complicated data into simple signs. The information in these messages is correct and up-to-date. This gives people accurate information they can use to make decisions and keep themselves and their communities safe.

NLG assists people in working together and making plans. NLG systems send reports and descriptions of events right away to rescue workers and people in charge of making decisions. These studies may bring together different pieces of knowledge, point out problems, and offer answers. This makes crisis assistance easier and better.

For example, NLG makes it easier to talk during floods and wildfires. Based on weather monitors, satellite pictures, and escape plans, NLG systems can quickly send road closing, evacuation, and safety alerts. There are many ways that these SMS can be sent to affected areas to help people get the information they need and stay safe.

9. Compliance and Regulatory Notifications

In the government area, it's important to follow rules and make sure that policies are followed. Natural Language Generation (NLG) can help a lot in this area by creating safety and regulatory reports. This makes it easy for government offices to let businesses, groups, and people know about changes and new standards.

Complex government information, like changes to laws, policies, or procedures, can be handled by NLG technology, which can then send out clear, short, and easy-to-understand alerts right away. These messages can be changed to fit the rules that apply to different companies, places, or parts of the world.

By using systems that are powered by NLG, government agencies can quickly send compliance messages to the right people, such as via email, online platforms, and public websites. This makes sure that businesses and people get information quickly about new rules, when they need to be followed, how to file, and any other duties they have.

Using NLG to handle compliance and regulatory reports not only speeds things up but also makes conversations more clear and more uniform. NLG-powered systems make sure that all the messages are the same, which removes the chance of mistakes or differences that can happen when this kind of information is written and sent out by hand.

10. Language Translation and Localization

It's important to be able to talk easily with people from different backgrounds if you work in the government. Natural Language Generation (NLG) technology can be a big help when it comes to translating and localizing languages. This means that government offices can provide services and information in more than one language so that everyone can use them.

Systems that use NLG can quickly change the language of papers, reports, and messages. This means that humans are no longer needed to translate, which can take a long time and cost significant money. Using NLG, government offices can quickly share information in many different languages with people who speak different languages.

Another case where NLG can help is localization. It means making changes to something so that it fits the customs and language of a certain place or group. NLG systems can change the language and content of copies of papers to fit the cultural norms and tastes of different groups.

By using NLG for language translation and localization, government agencies can break down boundaries and make sure they can communicate well with people who don't speak the official language well or who prefer to get information in their own language. This makes everyone feel welcome, makes it easier for people to use government services, and gets more people excited and active.

NLG can help translate a wide range of government documents, such as public comments, policies, rules, and information about services. This lets government offices reach more people and make sure that all voters can understand and get important information, no matter what language they speak.

Finally, NLG offers translation services for events, talks, and classes that happen in real-time. By adding NLG-powered language translation to their communication tools, government offices may be able to improve how they talk to each other.


In conclusion, using Natural Language Generation (NLG) in the government sector has many benefits and opens up interesting new ways to improve efficiency, improve services for people, and support data-driven decision-making. We have gone through the key use cases where NLG can have a big impact, such as automatic report writing, compliance reporting, risk assessment, and finding scams.

Government organizations can ease processes, cut down on manual work, and make sure information is correct and consistent by using NLG technology. NLG makes it possible for reports to be made instantly by turning raw data into tales and insights that are useful. This saves time and money and improves results at the same time.

As we look into the prospects of NLG in government, we encourage readers to check out our website for more pieces and tools on how NLG can change the way government works, get more people involved, and make decisions based on data.

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