Large language models (LLMs) are taking the world by storm, bringing forth unparalleled advancements in natural language processing (NLP) tasks.
However, as these models grow in size and complexity, so do the demands on computational resources and energy consumption.
Enter LoRA: Low-Rank Adaptation of Large Language Models, a groundbreaking method that enables faster, more efficient adaptation of LLMs without sacrificing performance.
In this in-depth article, we’ll explore the inner workings
Introduction to Abuse Detection
Abuse detection refers to the practice of identifying harmful or abusive language and behaviors, such as hate speech, racism, and sexism, on social media platforms. With the rise of social media, it has become easier to express ourselves publicly, but also easier for individuals to use online platforms as a means to spread hate and discrimination. Social media companies have recognized the need to identify and remove such content to prevent damage to individuals
Active Learning is a powerful approach to machine learning that allows computers to learn from relatively smaller training datasets. It is based on the principle that when a learning algorithm is given enough examples to learn from, it can perform accurate predictions. However, when the dataset is small, the accuracy may suffer, and the algorithm may fail to generalize on new data.
What is Active Learning?
Active Learning is a machine learning technique that addresses this problem by choosing
Arabic sentiment analysis is a fascinating field that has grown in importance as the Arabic language has become more prevalent in the digital world. The process involves using computational analysis to identify and categorize opinions expressed in Arabic text, with the goal of determining whether the overall sentiment of the text is positive, negative, or neutral. This can be incredibly useful in a wide range of contexts, from market research to political analysis.
How Arabic Sentiment Analysi
What is Argument Mining?
Argument Mining is a type of language analysis that looks for patterns in text that indicate an argument. The goal is to identify the structure of an argument, including its premises, conclusions, and supporting evidence. Essentially, Argument Mining is trying to find and understand the key points that someone is making in a piece of text. It can be used in a variety of contexts, including social media, political speeches, news articles, and academic papers.
Why is Ar
Clickbait Detection: Identifying and Avoiding False Advertising
Have you ever clicked on a link, only to find that the content on the other side didn't match the sensational headline that drew you in? If so, you may have been the victim of clickbait. Clickbait is a form of false advertising that uses misleading or attention-grabbing headlines or thumbnail images to entice users into clicking on a link.
Clickbait has become a pervasive issue in the world of online media, with many websites and
Common Sense Reasoning: How Our World Knowledge Helps Us Make Inferences
What is Common Sense Reasoning?
Common sense can be defined as the basic level of practical knowledge and perception that we all possess about the world around us. It is the knowledge that we use in our everyday lives to make sense of the situations we find ourselves in.
Common Sense Reasoning (CSR) is a branch of artificial intelligence (AI) that focuses on creating machines that can reason in the same way that humans
Data mining is a fascinating process that involves discovering patterns and useful information from large sets of data. It is an essential technique used in industries such as finance, retail, healthcare, and telecommunications to make informed decisions and improve business operations.
What is Data Mining?
Data mining is a process of extracting insights and knowledge from vast amounts of data. It involves using various methods, including statistical techniques, machine learning, and artifici
Data-to-Text Generation: A Comprehensive Overview
Introduction:
Data-to-Text Generation is a challenging task in natural language understanding and generation that involves the conversion of structured data into fluently described text. In this form of NLG, the system takes input data, such as a table, and produces unambiguous and logically coherent text that adequately describes the data as output. Data-to-Text Generation is widely used in various fields, from assisting visually impaired peo
If you've ever used a chatbot or conversed with a virtual assistant like Siri or Alexa, then you've likely experienced dialogue generation firsthand. Dialogue generation refers to the process of "understanding" human language inputs and producing appropriate outputs using natural language processing systems. These systems are designed to simulate human conversation and provide helpful responses to users in a conversational manner.
The Purpose of Dialogue Generation
The primary purpose of dial
Overview of Document-level Relation Extraction
Document-level Relation Extraction (RE) is a type of natural language processing task that involves identifying the relationships between entities mentioned in a text, which goes beyond individual sentences.
RE involves identifying the subject and object entities, as well as the type of relationship between them. For example, in the sentence "John founded Apple," the subject entity is "John," the object entity is "Apple," and the relationship betw
Event extraction is the process of identifying and categorizing events in a text or corpus. It involves determining the extent of the events mentioned, including their time, location, participants, and other important details. This information can be used by researchers, businesses, and other organizations to gain insights into trends and patterns in communication and behavior.
Why is Event Extraction Important?
Event extraction is important because it allows researchers and analysts to gain
Hate Speech Detection - An Overview
Hate Speech Detection is the process of identifying any content that displays or promotes hate towards an individual or group of people. This can be in the form of text, audio, video or any type of communication. Such content typically involves making offensive remarks based on a person's ethnicity, gender, religion, sexual orientation or age, among others.
The Importance of Hate Speech Detection
Hate Speech Detection is crucial in today's society to ensur
In today's world, we are constantly bombarded by news of tragedy and chaos. It's easy to feel discouraged and hopeless when all we hear about is negativity. However, hope speech detection seeks to provide a positive alternative to this narrative.
What is Hope Speech Detection?
Hope speech detection is a process that seeks to identify speech that is associated with hope, positivity, and inspiration. By focusing on positive language, hope speech detection can help individuals to find hope and i
Hypernym Discovery: Uncovering the Relationships Between Words
Hypernym discovery is the process of identifying words that describe broader categories of a particular term. Hypernyms are words that have a more general meaning than the given word, or hyponym. For example, the hyponym "dog" has hypernyms such as "canine," "mammal," or "animal." The importance of identifying hypernyms is vast, and it has applications in various industries, such as natural language processing, information retrieval
Information extraction is the process of automatically identifying and extracting specific pieces of data from unstructured or semi-structured data sources. These data sources can include anything from text files and web pages to social media posts and emails. The extracted data can then be used for a variety of purposes, including data analysis, information retrieval, and machine learning.
What is Information Extraction?
Information extraction, also known as IE, is a subfield of natural lang
Knowledge-graph-to-text (KG-to-text) generation is a computer science field that involves generating high-quality texts from input graphs. The goal of this process is to create texts that are consistent with the input graphs and can be easily understood by humans. KG-to-text generation is a complex process that involves several steps, including graph analysis, text representation, and text generation.
What is a Knowledge Graph
A knowledge graph is a type of graph database that is used to repr
Introduction to Language Modeling
Language modeling is the ability of a machine learning algorithm to predict the next word or character in a text document. It is an essential component of many natural language processing tasks, such as text generation, machine translation, question answering, and speech recognition.
Types of Language Models
The two common types of language models are N-gram and neural language models. N-gram language models utilize probability theory to predict the next wor
