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Dependency Syntax in the Automatic Detection of Irony and Stance ; Sintaxis de dependencias en la detección automática de ironía y posicionamiento
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A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers
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In: SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval ; https://hal.archives-ouvertes.fr/hal-03418387 ; SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2021, Virtual Event, Canada. pp.2328-2334, ⟨10.1145/3404835.3463255⟩ (2021)
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Abstract:
International audience ; 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 annotated resources of historical nature, information extraction performances fall behind those on contemporary texts. In this paper, we introduce the development of the NewsEye resource, a multilingual dataset for named entity recognition and linking enriched with stances towards named entities. The dataset is comprised of diachronic historical newspaper material published between 1850 and 1950 in French, German, Finnish, and Swedish. Such historical resource is essential in the context of developing and evaluating named entity processing systems. It evenly allows enhancing the performances of existing approaches on historical documents which enables adequate and efficient semantic indexing of historical documents on digital cultural heritage collections.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL]; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; datasets; diachronic historical newspapers; entity linking; multilingual; named entity recognition; stance detection
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URL: https://hal.archives-ouvertes.fr/hal-03418387
https://hal.archives-ouvertes.fr/hal-03418387/file/SIGIR2021_NER-resources.pdf
https://doi.org/10.1145/3404835.3463255
https://hal.archives-ouvertes.fr/hal-03418387/document
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Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
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Annotation Guidelines for Named Entity Recognition, Entity Linking and Stance Detection ...
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Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
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Annotation Guidelines for Named Entity Recognition, Entity Linking and Stance Detection ...
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HeadlineStanceChecker: Exploiting summarization to detect headline disinformation
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Dependency Syntax in the Automatic Detection of Irony and Stance
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Dialogical Signals of Stance Taking in Spontaneous Conversation
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#Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection
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Multilingual Stance Detection in Social Media Political Debates
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