With the advent of Web 2.0, there exist many online platforms that result in massive textual-
data production. With ever-increasing textual data at hand, it is of immense importance to …

After decades of massive digitisation, an unprecedented number of historical documents are
available in digital format, along with their machine-readable texts. While this represents a …

After decades of massive digitisation, an unprecedented amount of historical documents is
available in digital format, along with their machine-readable texts. While this represents a …

We present a corpus of Finnish news articles with a manually prepared named entity
annotation. The corpus consists of 953 articles (193,742 word tokens) with six named entity …

This paper presents an extended overview of the first edition of HIPE (Identifying Historical
People, Places and other Entities), a pioneering shared task dedicated to the evaluation of …

Named entity processing over historical texts is more and more being used due to the
massive documents and archives being stored in digital libraries. However, due to the poor …

We describe the annotation of a new dataset for German Named Entity Recognition (NER).
The need for this dataset is motivated by licensing issues and consistency issues of existing …

This paper presents an overview of the first edition of HIPE (Identifying Historical People,
Places and other Entities), a pioneering shared task dedicated to the evaluation of named …

Following decades of massive digitization, an unprecedented amount of historical document
facsimiles can now be retrieved and accessed via cultural heritage online portals. If this …

This book presents a unique opportunity for constructing a consistent image of collaborative
manual annotation for Natural Language Processing (NLP). NLP has witnessed two major …