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Linked Open Tafsir - Rekonstruktion der Entstehungsdynamik(en) des Korans mithilfe der Netzwerkmodellierung früher islamischer Überlieferungen ...
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Linked Open Tafsir - Rekonstruktion der Entstehungsdynamik(en) des Korans mithilfe der Netzwerkmodellierung früher islamischer Überlieferungen ...
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EMBEDDIA tools output example corpus of Estonian, Croatian and Latvian news articles 1.0
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HIPE-2022 Shared Task Named Entity Datasets ...
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Abstract:
HIPE-2022 datasets used for the HIPE 2022 shared task on named entity recognition and classification (NERC) and entity linking (EL) in multilingual historical documents . HIPE-2022 datasets are based on six primary datasets assembled and prepared for the shared task. Primary datasets are composed of historical newspapers and classic commentaries covering ca. 200 years, feature several languages and different entity tag sets and annotation schemes. They originate from several European cultural heritage projects, from HIPE organizers’ previous research project, and from the previous HIPE-2020 campaign. Some are already published, others are released for the first time for HIPE-2022. The HIPE-2022 shared task assembles and prepares these primary datasets in HIPE-2022 release(s), which correspond to a single package composed of neatly structured and homogeneously formatted files. Primary datasets undergo the following preparation steps: conversion to the HIPE format (with correction of data inconsistencies and ... : New releases are planned. Check the HIPE-2022 website for updates. ...
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Keyword:
Digital Humanities; Evaluation; Historical Documents; Information Extraction; Named Entity Linking; Named Entity Recognition
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URL: https://dx.doi.org/10.5281/zenodo.6089967
https://zenodo.org/record/6089967
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Measuring Semantic Similarity of Documents by Using Named Entity Recognition Methods
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In: Masters (2022)
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An RG-FLAT-CRF Model for Named Entity Recognition of Chinese Electronic Clinical Records
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In: Electronics; Volume 11; Issue 8; Pages: 1282 (2022)
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| 10 |
Analysis of the Full-Size Russian Corpus of Internet Drug Reviews with Complex NER Labeling Using Deep Learning Neural Networks and Language Models
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In: Applied Sciences; Volume 12; Issue 1; Pages: 491 (2022)
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S-NER: A Concise and Efficient Span-Based Model for Named Entity Recognition
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In: Sensors; Volume 22; Issue 8; Pages: 2852 (2022)
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A Pipeline Approach to Context-Aware Handwritten Text Recognition
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In: Applied Sciences; Volume 12; Issue 4; Pages: 1870 (2022)
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Research on Named Entity Recognition Methods in Chinese Forest Disease Texts
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In: Applied Sciences; Volume 12; Issue 8; Pages: 3885 (2022)
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Learning the Morphological and Syntactic Grammars for Named Entity Recognition
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In: Information; Volume 13; Issue 2; Pages: 49 (2022)
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| 15 |
Comparison of Text Mining Models for Food and Dietary Constituent Named-Entity Recognition
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In: Machine Learning and Knowledge Extraction; Volume 4; Issue 1; Pages: 254-275 (2022)
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| 16 |
A Novel Method of Generating Geospatial Intelligence from Social Media Posts of Political Leaders
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In: Information; Volume 13; Issue 3; Pages: 120 (2022)
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MetaboListem and TABoLiSTM: Two Deep Learning Algorithms for Metabolite Named Entity Recognition
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In: Metabolites; Volume 12; Issue 4; Pages: 276 (2022)
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| 18 |
An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19
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In: Information; Volume 13; Issue 3; Pages: 137 (2022)
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StaResGRU-CNN with CMedLMs: a stacked residual GRU-CNN with pre-trained biomedical language models for predictive intelligence
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Effect of depth order on iterative nested named entity recognition models
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In: Conference on Artificial Intelligence in Medecine (AIME 2021) ; https://hal.archives-ouvertes.fr/hal-03277643 ; Conference on Artificial Intelligence in Medecine (AIME 2021), Jun 2021, Porto, Portugal (2021)
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