Performance Analysis of Large Language Models in the Domain of Legal Argument Mining

Its “Amex Bot” chatbot uses artificial intelligence to analyze and react to consumer inquiries and enhances the customer experience. We all hear “this call may be recorded for training purposes,” but rarely do we wonder what that entails. Turns out, these recordings may be used for training purposes, if a customer is aggrieved, but most of the time, they go into the database for an NLP system to learn from and improve in the future. Automated systems direct customer calls to a service representative or online chatbots, which respond to customer requests with helpful information.

First, the capability of interacting with an AI using human language—the way we would naturally speak or write—isn’t new. Smart assistants and been around for years (more on this below). And while applications like ChatGPT are built for interaction and text generation, their very nature as an LLM-based app imposes some serious limitations in their ability to ensure accurate, sourced information.

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Artificial language is anything created consciously and deliberately, with a specific purpose. Natural language processing allows businesses to easily monitor social media. A similar study saw researchers developing natural language processing tools to link medical terms to simple definitions. These examples show that natural language processing has a number of real-world applications. Natural language processing (NLP) is a form of artificial intelligence that help computer programs understand, interpret, analyze and manipulate human language as it is spoken. SuperCook has a simple form with straightforward use of natural language for their recipe search.

• We primarily concentrate on the argument component classification task on the legal corpus from the European Court of Human Rights.
• This application is increasingly important as the amount of unstructured data produced continues to grow.
• This was so prevalent that many questioned if it would ever be possible to accurately translate text.

As with other applications of NLP, this allows the company to gain a better understanding of their customers. Automation also means that the search process can help JPMorgan Chase identify relevant customer information that human searchers may have missed. With the help of Python programming language, natural language processing is helping organisations to quickly process contracts.

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In addition, here’s a natural language form example being used within a Facebook chatbot. This is one of the many ways to use conversational marketing and natural language to engage customers and website visitors. The Conversational Forms addon from WPForms uses interactive forms to engage visitors and improve the overall user experience, resulting in increased conversion rates.

But communication is much more than words—there’s context, body language, intonation, and more that help us understand the intent of the words when we communicate with each other. That’s what makes natural language processing, the ability for a machine to understand human speech, such an incredible feat and one that has huge potential to impact so much in our modern existence. Today, there is a wide array of applications natural language processing is responsible for. It uses NLP for sentiment analysis to understand customer feedback from reviews, social media, and surveys. This helps to identify pain points in customer experience, inform decisions on where to focus improvement efforts, and track changes in customer sentiment over time.

Your customers want better results when they look for help in self-service channels, such as site search and help centers. NLP can prevent self-service customers from becoming dissatisfied and taking their business elsewhere by interpreting the meaning of search queries and delivering more relevant autocomplete suggestions and results. In this scenario, advanced NLP software can recognize the urgency in your customer’s tone. It can infer from their wording that they’re short on time and fast-track the customer’s ticket so it has a higher priority. NLP software can also identify agents who may need more training and help managers gain better insights into where skills can be advanced. Natural language processing (NLP) is a subset of artificial intelligence, computer science, and linguistics focused on making human communication, such as speech and text, comprehensible to computers.

It can be seen in a number of common, every day tools such as Alexa or Siri. We will also see how it is already impacting and improving a number of industries from financial services, healthcare, self-driving cars, and many more. Natural language processing (NLP) is an increasingly becoming important technology.

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