Blog
Description Guided Zero-Shot Labeling for NLP Applications
In this article, we explore the challenges posed by complex entities, and demonstrate how the inclusion of label descriptions can be a game-changer.
AUG 28TH, 2023
Streamlining Lease Abstraction with AI
In this tutorial, we’ll delve into how to automate lease abstraction using a custom-trained AI model in conjunction with a Large Language Model (LLM).
juLy 18TH, 2023
Unlocking Legal Litigation Analysis with chatGPT
In this tutorial, we are going to extract relevant information from environmental litigation cases such as named entities, facts presented and summarization using the LLM GPT-3.5-Tubo.
juLy 18TH, 2023
Automating Entity Extraction from Safety Data Sheets (SDS) using LLMs
In this article, we will explore how to leverage the power of Large Language Models (LLMs) to automate entity extraction from SDS and improve the overall efficiency of SDS companies.
july 15TH, 2023
How to automate entity extraction from PDF using LLMs
In this tutorial, we are going to present a method to auto-label unstructured and semi-structured documents using Large Language Model’s (LLM) in-context learning capabilities.
june 21TH, 2023
Understanding Data Labels and Data Labeling: Definition, Types, and How it Works for Machine Learning
This article aims to shed light on the concept of data labels, their importance in machine learning, and how data labeling works. We will also delve into different types of machine learning labels, data labeling techniques, quality control measures, and the emerging trend of human-in-the-loop labeling.
june 21TH, 2023
Mastering Model Validation with Data Annotations: Understanding Date Format Validation, Display, DataType, and Required Fields
In this article, we will explore the various aspects of data annotation validation, with a specific focus on date format validation, display, datatype, and required fields.
june 19TH, 2023
A Comprehensive Guide to Data Labeling with Unsupervised Learning
In this article, we explore the world of unsupervised data labeling and its significance in the field of machine learning. We delve into various topics such as clustering algorithms, dimensionality reduction techniques, active learning, evaluation metrics, challenges, applications, hybrid approaches, ethics, and future research trends.
JUne 16TH, 2023
Exploring the Different Types of Text Annotation and Use Cases
This comprehensive guide explores different types of text annotation and their diverse use cases. From Named Entity Recognition and Sentiment Analysis to Text Categorization and Question-Answering Annotations, we examine how each type contributes to language understanding and enables applications in various fields.
june 11TH, 2023
Advancing Language Understanding: Multilingual Semantic Annotation Systems and Multilingual Annotation Systems
This article will explore in-depth the different types of data annotation and the critical role they play in machine learning, as well as the difference between data labeling and data annotation in data preparation for machine learning.
june 10TH, 2023
Unlocking the Potential of Machine Learning with Data Annotation: Types, Techniques, and Importance
This article explores the advancements, challenges, and diverse applications of multilingual semantic annotation systems and multilingual annotation systems.
JUne 9TH, 2023
Transforming Raw Data into Actionable Insights: The Significance of Data Annotation
In this article, we will discuss the main purpose of data labeling, its importance, and its use in different industries such as healthcare, finance, retail, and manufacturing.
JUNe 6TH, 2023
How to Analyze Company Risk Factors from SEC Reports with AI
In this tutorial, we delve into the key steps involved in training a custom AI model that identifies risk factors from SEC 10-K reports and integrating it into a workflow that analyses the results using chatGPT. We also highlight the importance of human-in-the-loop review for refining the model’s predictions.
June 8TH, 2023
Data Labeling: Fueling Machine Learning Algorithms for Success
In this article, we will explore the importance of data labeling, its examples, and its use in machine learning. We will also discuss the data labeling process, including the project’s requirements, the appropriate labeling technique, the team of experts, the labeling guidelines, and the continuous improvement of labeled data quality.
MAY 31, 2023
How to Automate Document Extraction from Insurance Documents Using custom AI and chatGPT
In today’s fast-paced insurance industry, processing a vast array of documents is a critical but often cumbersome task. Intelligent Document Extraction has emerged as a game-changing solution for insurance companies.
MAY 31, 2023
Intelligent Document Extraction for Logistics and Supply Chain
In this tutorial, we will show how to train a custom AI model on logistics documents, host it and integrate it in a workflow without any coding required or extensive AI knowledge. Let’s dive in!
MAY 31, 2023
The Future of Data Extraction from PDFs: Unveiling Intelligent Methods
In the digital age, extracting valuable data from PDFs efficiently is crucial for organizations across industries. Throughout this comprehensive article, we will delve into the transformative techniques and tools that have revolutionized this domain. Join me as we explore the future of data extraction
MAY 25, 2023
Introducing AI Builder: the A.I engine for building intelligent document applications
As AI models are becoming commoditized, high quality training data is becoming key to successful and applicable AI. chatGPT is the perfect example, feeding GPT-3 with a small amount of high quality human labeled dataset using RLHF, OpenAI …
MAY 20, 2023
How to Automate Data Extraction from Bank Statements using custom trained AI model
In this tutorial we are going to learn how to automate the data extraction process from bank statements using custom trained AI models and automated table extraction.
MAY 11, 2023
Mastering Entity Extraction for Business Success
Entity extraction, also known as named entity recognition (NER) or entity identification, is a sub-field of natural language processing (NLP) that involves identifying and classifying key information elements or “entities” within unstructured text. These entities may include people’s names, locations, organizations, dates, and more.
MAR 23, 2023
Data Labeling and Annotation
Data labeling and annotation are key components of machine learning and artificial intelligence. These processes add relevant information, tags, or labels to the raw data to help train machine learning models. Labeled data helps machine learning algorithms recognize patterns and make predictions based on new, unseen data.
MAY 04, 2023
Intelligent Document Processing IDP and Robotic Process Automation RPA: A Comparative Study on Automation of Business Processes
A comparative study of IDP and RPA, exploring their definitions, applications, benefits, and limitations.
APR 6, 2023
How Few-Shot Learning is Automating Document Labeling
In this article, we’ll take a closer look at how few-shot learning is transforming document labeling, specifically for Named Entity Recognition which is the most important task in document processing.
FEB 27, 2023
Entity-based Synthetic Data Generation with chatGPT
The development of text generation models has been greatly accelerated by the introduction of large pre-trained language models like GPT (Generative Pre-trained Transformer). These models are trained on massive amounts of text data using unsupervised learning techniques and can generate high-quality text that is often indistinguishable from human-written text.
FEB 27, 2023
What is Synthetic Data Generation?
In this article, we will introduce the concept of synthetic data, how we generate it, its types, techniques, and tools. In the next article, we will show a few examples of generating the data using named entities extracted from real text. This series will provide you the knowledge required to help in producing synthesized dataset for solving data-related issues..
JAN 23, 2023
How to Train the LILT Model on Invoices and Run Inference
In the realm of document understanding, deep learning models have played a significant role. These models are able to accurately interpret the content and structure of documents, making them valuable tools for tasks such as invoice processing, resume parsing, and contract analysis.
JAN 12, 2023
Revolutionize your Data Extraction Process with OCR and NLP
If you’ve ever wondered how you can automate data extraction from your goods receipts and shipment documents, then you’ve come to the right place.
In this article, we’ll explain how Natural Language Processing can quickly and easily extract data from semi-structured documents using OCR, labeling, and fine-tuning models.
July 18 , 2022
LayoutLM v3 vs LayoutLM v2 : Fine-tuning LayoutLM v3 for Invoice Processing
Step-by-step tutorial for fine-tuning Microsoft’s latest LayoutLM v3 on invoices, starting with annotations performed with UBIAI OCR and Text annotation tools then comparing its performance to the layoutLM V2.
Nov 29, 2021
Analyzing Scientific Articles with fine-tuned SciBERT NER Model and Neo4j
Step by step Tutorial on Analyzing datasets of scientific abstracts using the Neo4j Graph database and a fine-tuned SciBERT model.
Jan 14, 2022
Interpretable and Explainable NER with LIME
Training an NER model that predicts Skills, Experience, Diploma, and Diploma Majors from job descriptions and explaining its output using LIME algorithm.
Oct 12, 2021
Deploying Serverless spaCy Transformer Model with AWS Lambda
Step-by-step tutorial for deploying an NER spaCy Transformer Model to Huggingface and running predictions on AWS Lambda.
May 31, 2021
How to Annotate PDFs and Scanned Images for NLP Applications using UBIAI Text Annotation Tool
Increase efficiency, productivity, cost savings by using NLP/NER for info retrieval in unstructured/structured text/docs analysis (invoices,receipts,contracts)
Feb 13, 2022
UBIAI – A Data Labelling and Text Annotation Tool That’s Different. Here’s How
Build in-house,Outsource data labeling,OCR, Model assisted labeling,Fully-optimized UI,Easy-to-use,Microsoft Word,PDFs,Team collaboration,Auto-labeling .
May 17, 2021
Building a Knowledge Graph for Job Search using BERT Transformer
Tutorial on how to create a job recommendation from unstructured text, how to extract entities and relations from job descriptions using the BERT model, and how to create a knowledge graph.
Apr 1, 2021
How to Train a Joint Entities and Relation Extraction Classifier using BERT Transformer with spaCy 3
Train Joint Entities with BERT Transformer/spaCy3 to automate info retrieval (unstructured texts,contracts,financial documents,healthcare records)
Feb 28, 2021
How to Fine-Tune BERT Transformer with spaCy 3 for NER
Step-by-step tutorial for cloning and fine-tuning a huggingface library model on a dataset.
Jul 24, 2020
Building a job entity recognizer using Amazon Comprehend
Step by step tutorial on how to annotate job descriptions using UBIAI tool and trained a custom entity recognizer in Amazon Comprehend.
Sep 4, 2020
Introducing UBIAI easy to use text annotation for NLP applications
UBIAI – easy-to-use UI, multilingual (Arabic,Chinese,etc) auto-annotation,Entity recognition,chatbot training,entity sentiment analysis,text classification .
Jul 24, 2020
How to Automate Job Searches Using Named Entity Recognition
NER model for entity extraction from job descriptions, CVs, resumes, and cover letters for targeted recruitment and job search.
Jun 21, 2021
Fine-Tuning Transformer Model for Invoice Recognition
Step-by-step tutorial for cloning and fine-tuning a huggingface library model on a dataset.
Jan 14, 2022
Metadata Extraction from Rental Agreements Using AI
AI and its application in rental agreements, identifying, labeling, annotating, and extracting metadata from documents (rental agreements,contracts).
Nov 21, 2021
How to Build a Knowledge Graph with Neo4J and Transformers
build a knowledge graph from job descriptions using fine-tuned transformer-based Named Entity Recognition NER and spacy’s relation extraction models.
Dec 7, 2021
Building An NLP Project From Zero To Hero (Project Overview)
Gentle refresher on the core concepts of NLP,Project Overview ,Data Collection, Preprocessing, Labeling, Model Training, Deployment, Monitoring & Text Mining.
Dec 14, 2021
Build An NLP Project From Zero To Hero (Data Collection)
NER Model,extract info from tweets, Open Datasets,Public APIs,Web Scraping,Python Reddit API Wrapper,Public Open Dataset,Financial Tweets,Kaggle,Data Quality.
Dec 26, 2021
Build An NLP Project From Zero To Hero (Preprocessing)
DataAnalysis,Cleaning,Integration,Reduction,Transformation,Tokenization,Normalization,Denoising,Preprocessing,NER model,Data Observation,Text Quality Filtering,Spacy Pre-annotation.
Jan 11, 2022
Build An NLP Project From Zero To Hero (Data Labeling)
UBIAI : a friendly User Interface,Domain Knowledge Consensus,Data Quality Assessment,NER Annotation,Pre-Annotation,Metrics Interface,Model Assisted Labeling.
Jan 11, 2022
Build An NLP Project From Zero To Hero (5): Model Training
Selecting the model, Verifying the integrity of the input data, evaluating the model, training, and saving it.
Mar 31, 2022
Build An NLP Project From Zero To Hero (Model Integration)
Integrate a Spacy NLP model into a web application and use it to provide services to users over HTTP using the Twitter Developer API and Stock Market Tweets Analyzer.
Mar 31, 2022
Types of Text Data Annotation Techniques
Get the most accurate insights, transform your data, train your NLP models, extract important information, and deploy without developing any code.
June 7, 2022
Natural Language Processing and Optical Character Recognition
NLP roots,Challenges,Optical Character Recognition,OCR Stages,Segmentation,Entity Recognition,NER,Document Classification,Post-Processing,Dictionary & ML-based .
June 7, 2022
Use case of NLP in Supply Chain
Parsing with OCR Technology, Custom Fine Tuned Models ,Shipment doc automation & translation & Summarization ,Monitoring change ,Obtaining data on benchmarks.
June 7, 2022
Is Weak Labeling Capable of Replacing Human-Labeled Data?
Unsupervised vs. fully supervised data labeling : Step-by-step demonstration of NLP model performance trained on weakly labeled data versus hand-labeled data.
June 7, 2022
Fine-Tuning LayoutLM v2 For Invoice Recognition
Step-by-step tutorial for fine-tuning layoutLM V2, starting with data annotation with UBIAI OCR Text Annotation tool to model training and inference.
June 13, 2022
Auto-Label Data Using Transformer Models
Dictionary pre-annotation, NER, relation, and document classification Model training, spaCy and transformer training, model auto-labeling, custom trained models.
June 24, 2022
NLP, AI, Data Labeling & annotation in Manufacturing
UBIAI adventages on High-Quality AutoLabeling,Process Automation,Inventory Management,Operation Optimization in Manufacturing,Healthcare,Automotive,Advertising
jun 24 , 2022
Invoice & semi-structured documents Processing with OCR
OCR annotation tools to Convert text found in scanned documents into machine-readable text, Scanned documents, printed text, images, handwritten text.
july 7 , 2022
NLP, AI, Data Labeling & annotation in Insurance
Personalized Customer Experience,Claim Processing,Fraud Detection,Underwriting Process Automation,annotating property,customer demographic,claims,pricing data.
july 7 , 2022
OCR & NLP are Transforming Supply Chain Industry
Automating Data Extraction,Making Sense of Semi-structured Data(Invoice Processes, Purchase Order Maintenance),Empowering the Supply Chain,NLP OCR ML Challenges.
july 18 , 2022
NLP Applications and Importance in Contract Management
NLP and ML models’ applications and key benefits in business and Contract Lifecycle Management via data auto-labeling and team management solutions
August 9 , 2022
MEDICAL REPORT USING NER WITH SPACY TRANSFORMERS AND OCR WITH EASYOCR
Extract text from images files related to covid-19 and recognize medical entities from unstructured text using fine-tuning with spacy transformers, easyOCR NER.
August 9 , 2022
Multimodal Transformers for structured & unstructured data.
Fine-tune pre-trained model for data classification, Business understanding, Work environment preparation, Data understanding & Preparation, results Evaluation .
August 25 , 2022
Machine Learning Ops tools for Natural Language Processing
Best practices for Machine Learning lifecycle approaches (traditional pipeline, advanced MLOps) in NLP projects.
August 25 , 2022
Data Annotation (Text, Image, Audio, Video) in Supervised ML
Data Annotation in Supervised Machine Learning : Semantic, Instance, panoptic segmentation; Sentiment, Semantic, OCR annotation, Text categorization
September 19 , 2022
Annotate Text Using Google Apps Script and ML APIs
Active learning is a ML technique that reduces the amount of labeled data to train a model by labeling instances that are most likely to improve the model.
Sep 19, 2022
Annotate Text From Google Sheet Using Google Apps Script and Machine Learning APIs
Combine the power of Google Apps Script and Machine Learning APIs to annotate textual HR and recruitment data from Google Sheets.
October 9 , 2022
Speedup Data Labeling using Clustering: Tools and Techniques for enhanced Data Labeling.
Speed up, reduce annotation cost & time, Data flow, Email labeling, supervised & unsupervised learning, data labeling, and Classification vs Clustering.
October 26 , 2022
LayoutLM vs OCR-free Donut Model
Data extraction tutorial: using the OCR-free Donut model for document classification, document question answering, and synthetic data generation.
Nov 23, 2022
Types of sentiment analysis and their applications in Business
Sentiment analysis is a text classification technique that identifies and extracts data from the source material, allowing data analysts to gain a deeper understanding of the social perception surrounding their product or service while monitoring online chats …
Novembre 23 , 2022
Natural Language Processing use cases in Finance
Businesses are betting big on Natural Language Processing (NLP) to pick up their financial game in today’s digital age …
Novembre 23 , 2022
Natural Language Processing use cases in the insurance industry
Because of claims, insurance policies, and customer relationships, the insurance industry generates a large amount of unstructured text, making it difficult for insurers to leverage their datasets using traditional methods …
Novembre 23 , 2022
Top Open-source Optical Character Recognition programs
OCR is still a relatively new technology for business process automation, which is why most industries continue to rely on traditional systems …
Nov 23, 2022
6 Natural Language Processing Models you should know
Natural language processing, or NLP, is one of the most fascinating topics in artificial intelligence, and it has already spawned our everyday technological utilities …
December 22 , 2022
NLP Data extraction tools as a military weapon
Nowadays, Data has taken over the military and warfare sectors because whoever has accurate information at the right time has an advantage in operations and strategic moves…
December 13 , 2022
GPT-3 : Use Cases, Advantages, and Limitations
GPT-3 requires a small amount of input text to generate large volumes of relevant and sophisticated machine-generated text such as code, stories, poems, and…
December 01 , 2022
Customizable NLP Models
Strategic decision making is the key to all businesses’ success, but in order for a company to make accurate predictions and decisions at the right time, they must obtain accurate insights from…
January 04 , 2023
Active Learning
What is active learning? Active learning is a special case of machine learning in which a learning algorithm can interactively query a user (or some other information source) to label new data points with the desired outputs…
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