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Found 22 papers, 1 papers with code
Comparing Annotated Datasets for Named Entity Recognition in English Literature
To better understand the different NER benchmark datasets for the domain of English literature and their impact on the evaluation of NER tools, we analyse two existing annotated datasets and create two additional gold standard datasets.
A Multilingual Benchmark to Capture Olfactory Situations over Time
We present a benchmark in six European languages containing manually annotated information about olfactory situations and events following a FrameNet-like approach.
Tracking Textual Similarities in Neo-Latin Drama Networks
This paper describes the first experiments towards tracking the complex and international network of text reuse within the Early Modern (XV-XVII centuries) community of Neo-Latin humanists.
The Wind in Our Sails: Developing a Reusable and Maintainable Dutch Maritime History Knowledge Graph
Digital sources are more prevalent than ever but effectively using them can be challenging.
Marriage is a Peach and a Chalice: Modelling Cultural Symbolism on the SemanticWeb
In this work, we fill the gap in the Semantic Web in the context of Cultural Symbolism.
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019
Although linked open data (LOD) is one knowledge graph, it is the closest realisation (and probably the only one) to a public FAIR Knowledge Graph (KG) of everything.
Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels
Environmental factors determine the smells we perceive, but societal factors factors shape the importance, sentiment and biases we give to them.
Towards Entity Spaces
Entities are a central element of knowledge bases and are important input to many knowledge-centric tasks including text analysis.
Mining Wages in Nineteenth-Century Job Advertisements. The Application of Language Resources and Language Technology to study Economic and Social Inequality
For the analysis of historical wage development, no structured data is available.
Ontologies in CLARIAH: Towards Interoperability in History, Language and Media
We summarise the lessons learnt from using such ontologies and tools in these domains from a generalisation and reusability perspective.
Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition
This shared task focuses on identifying unusual, previously-unseen entities in the context of emerging discussions.
Evaluating Entity Linking: An Analysis of Current Benchmark Datasets and a Roadmap for Doing a Better Job
Entity linking has become a popular task in both natural language processing and semantic web communities.
Context-enhanced Adaptive Entity Linking
More and more knowledge bases are publicly available as linked data.
MEANTIME, the NewsReader Multilingual Event and Time Corpus
The {``}First CLIN Dutch Shared Task{''} at CLIN26 was based on the Dutch section, while the EVALITA 2016 FactA (Event Factuality Annotation) shared task, based on the Italian section, is currently being organized.
Analysis of Named Entity Recognition and Linking for Tweets
Applying natural language processing for mining and intelligent information access to tweets (a form of microblog) is a challenging, emerging research area.
Hope and Fear: How Opinions Influence Factuality
Both sentiment and event factuality are fundamental information levels for our understanding of events mentioned in news texts.
Benchmarking the Extraction and Disambiguation of Named Entities on the Semantic Web
Detecting and classifying named entities has traditionally been taken on by the natural language processing community, whilst linking of entities to external resources, such as those in DBpedia, has been tackled by the Semantic Web community.
Discovering and Visualising Stories in News
Daily news streams often revolve around topics that span over a longer period of time such as the global financial crisis or the healthcare debate in the US.
