Revolutionary AI

Challenge what’s possible with our unique layout-aware Language Model (LAMBERT) and 2D Contextual Awareness technology

2D Contextual Awareness

Applica’s 2D Contextual Awareness leverages machine learning in the form of deep neural networks when applying algorithms from computational linguistics and computer vision. This unique technology mimics the way a human works with documents containing various layouts (e.g.: forms, tables, reports, etc.) and considers both textual and graphical aspects before finalizing results. Coverage of both channels of information enables precise semantic analysis and information extraction, which in turn reduces the workload for some business processes by 90% and decreases the error rate by 85%.

Layout-aware Language Model (LAMBERT)

The most effective NLP methods are based on neural language modeling, however all the language models that are currently used are one-dimensional, and they are blind to text structure. As a result, Applica’s layout-aware models beat all 1D models in challenges that deal with real business documents: a mix of semi-structured and unstructured text. For instance, when interpreting a table, it’s necessary to take into account its structure and the correct interpretation of a table involves understanding what is a column, row, cell, etc.

Let our curiosity solve your problems

Most AI requires supervised machine learning using large volumes of annotated documents. Thanks to our progressive neural language modeling techniques, Applica reduces supervised learning to a minimum.

Recent benchmarks

ICDAR Infographics VQA Challenge

[April 2021] Applica’s innovative TILT model crushed the competition in the ICDAR Infographics VQA Challenge.

ICDAR Key Information Extraction Competition

[March 2021] Applica continues to dominate the venerated Key Information Extraction Competition.

ICDAR Document Visual Question Answering Challenge

[February 2020] Applica beats all other AI solutions in the Document Visual Question Answering Challenge.

SemEval 2020

[February 2020] The Applica team won Best Paper at SemEval 2020.

Trusted by companies across the world

AI-based text comprehension

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