After decades of massive digitisation, an unprecedented number of historical documents are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 …

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 …

We propose a hypothesis only baseline for diagnosing Natural Language Inference (NLI).
Especially when an NLI dataset assumes inference is occurring based purely on the …

After decades of massive digitisation, an unprecedented amount of historical documents is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 …

The field of Spatial Humanities has advanced substantially in the past years. The
identification and extraction of toponyms and spatial information mentioned in historical text …

Purpose By mapping-out the capabilities, challenges and limitations of named-entity
recognition (NER), this article aims to synthesise the state of the art of NER in the context of …

Named Entity Recognition (NER), search, classification and tagging of names and name like
frequent informational elements in texts, has become a standard information extraction …

In this work, we explore whether the recently demonstrated zero-shot abilities of the T0
model extend to Named Entity Recognition for out-of-distribution languages and time …

This paper presents an overview of the LL (O) D and NLP methods, tools and data for
detecting and representing semantic change, with its main application in humanities …

As the number of digitized archival documents increases very rapidly, named entity
recognition (NER) in historical documents has become very important for information …