Named entity recognition and classification in historical documents: A survey
After decades of massive digitisation, an unprecedented number of historical documents are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 …
available in digital format, along with their machine-readable texts. While this represents a …
Named entity recognition and classification on historical documents: A survey
After decades of massive digitisation, an unprecedented amount of historical documents is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 …
available in digital format, along with their machine-readable texts. While this represents a …
It all starts with entities: A Salient entity topic model
C Wu, E Kanoulas, M de Rijke - Natural Language Engineering, 2020 - cambridge.org
Entities play an essential role in understanding textual documents, regardless of whether the
documents are short, such as tweets, or long, such as news articles. In short textual …
documents are short, such as tweets, or long, such as news articles. In short textual …
Content analysis of reported activities of the United Nations Road Safety Collaboration Members during the Decade of Action for Road Safety 2011–2020
SA Flannigan, M Khayesi - BMJ open, 2021 - bmjopen.bmj.com
Objective Several activities were planned for the Decade of Action (DOA) for Road Safety
2011–2020, covering key policies and interventions on road safety. Knowledge of the …
2011–2020, covering key policies and interventions on road safety. Knowledge of the …
The role of named entities in linking news articles during preservation
M Khan, A Ur Rahman, M Ullah, R Naseem - Proceedings of the 8th …, 2020 - Springer
In the recent, the World Wide Web has become a platform for online news publications.
Many sources started publishing digital versions of news articles online to vast users …
Many sources started publishing digital versions of news articles online to vast users …
Benchmarks and models for entity-oriented polarity detection
We address the problem of determining entity-oriented polarity in business news. This can
be viewed as classifying the polarity of the sentiment expressed toward a given mention of a …
be viewed as classifying the polarity of the sentiment expressed toward a given mention of a …
Grouping Business News Articles using Multiple Objectives Based Particle Swarm Optimization
A Navlani, VB Gupta - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
with the increase in internet use, a large amount of online business news text articles are
posting on web portals, social media platforms, and other information-sharing platforms. For …
posting on web portals, social media platforms, and other information-sharing platforms. For …
[PDF][PDF] Entity-centric document understanding
C Wu - pure.uva.nl
In the early 1990s, the World Wide Web was born. Content creators were few and the vast
majority of users simply acted as consumers of content [17]. With the development of …
majority of users simply acted as consumers of content [17]. With the development of …
The Role of Named Entities in Linking News Articles During Preservation
R Naseem - Proceedings of the 8th International Conference on …, 2019 - books.google.com
In the recent, the World Wide Web has become a platform for online news publications.
Many sources started publishing digital versions of news articles online to vast users …
Many sources started publishing digital versions of news articles online to vast users …
[PDF][PDF] Classification and clustering in media monitoring: from knowledge engineering to deep learning
L Pivovarova - 2018 - researchgate.net
This thesis addresses information extraction from financial news for decision support in the
business domain. News is an important source of information for business decision makers …
business domain. News is an important source of information for business decision makers …