Text line segmentation is one of the key steps in historical document understanding. It is
challenging due to the variety of fonts, contents, writing styles and the quality of documents …

Event detection is a crucial task for natural language processing and it involves the
identification of instances of specified types of events in text and their classification into …

Visual Information Extraction (VIE) task aims to extract key information from multifarious
document images (eg, invoices and purchase receipts). Most previous methods treat the VIE …

Automating organizational processes typically involves document processing techniques for
a large document set. For that purpose, the Intelligent Document Processing (IDP) paradigm …

Digital libraries have a key role in cultural heritage as they provide access to our culture and
history by indexing books and historical documents (newspapers and letters). Digital …

In this paper, we propose an evaluation of several state-of-the-art open-source natural
language processing (NLP) libraries for named entity recognition (NER) on handwritten …

In this paper, we address the detection of named entities in multilingual historical collections.
We argue that, besides the multiple challenges that depend on the quality of digitization (eg …

Named entities (NEs) are fundamental in the extraction of information from text. The
recognition and classification of these entities into predefined categories is called Named …

Abstract Information extraction from handwritten documents involves traditionally three
distinct steps: Document Layout Analysis, Handwritten Text Recognition, and Named Entity …

Semantic analysis of handwritten document images offers a wide range of practical
application scenarios. A sequential combination of handwritten text recognition (HTR) and a …