[PDF][PDF] Open-source tools for morphology, lemmatization, POS tagging and named entity recognition
We present two recently released opensource taggers: NameTag is a free software for
named entity recognition (NER) which achieves state-of-the-art performance on Czech; …
named entity recognition (NER) which achieves state-of-the-art performance on Czech; …
Improving named entity recognition for morphologically rich languages using word embeddings
In this paper, we addressed the Named Entity Recognition (NER) problem for
morphologically rich languages by employing a semi-supervised learning approach based …
morphologically rich languages by employing a semi-supervised learning approach based …
Two-stage approach in Russian named entity recognition
V Mozharova, N Loukachevitch - 2016 International FRUCT …, 2016 - ieeexplore.ieee.org
In this article we consider a two-stage prediction approach for named entity recognition in
Russian. In the first stage, named entities are extracted by a machine learning method. After …
Russian. In the first stage, named entities are extracted by a machine learning method. After …
Segment representations in named entity recognition
In this paper we study the effects of various segment representations in the named entity
recognition (NER) task. The segment representation is responsible for mapping multi-word …
recognition (NER) task. The segment representation is responsible for mapping multi-word …
Czech text processing with contextual embeddings: Pos tagging, lemmatization, parsing and ner
Contextualized embeddings, which capture appropriate word meaning depending on
context, have recently been proposed. We evaluate two methods for precomputing such …
context, have recently been proposed. We evaluate two methods for precomputing such …
Combining knowledge and CRF-based approach to named entity recognition in Russian
VA Mozharova, NV Loukachevitch - … of Images, Social Networks and Texts …, 2017 - Springer
Current machine-learning approaches for information extraction often include features
based on large volumes of knowledge in form of gazetteers, word clusters, etc. In this paper …
based on large volumes of knowledge in form of gazetteers, word clusters, etc. In this paper …
Recognition of OCR invoice metadata block types
Automatically cataloging of thousands of paper-based structured documents is a crucial fund-
saving task for future document management systems. Current optical character recognition …
saving task for future document management systems. Current optical character recognition …
Automatically Finding Actors in Texts: A Performance Review of Multilingual Named Entity Recognition Tools
P Balluff, HG Boomgaarden… - … Methods and Measures, 2024 - Taylor & Francis
ABSTRACT Named Entity Recognition (NER) is a crucial task in natural language
processing and has a wide range of applications in communication science. However, there …
processing and has a wide range of applications in communication science. However, there …
Czech historical named entity corpus v 1.0
H Hubková, P Král, E Pettersson - Proceedings of the Twelfth …, 2020 - aclanthology.org
As the number of digitized archival documents increases very rapidly, named entity
recognition (NER) in historical documents has become very important for information …
recognition (NER) in historical documents has become very important for information …
Neural networks for featureless named entity recognition in Czech
We present a completely featureless, language agnostic named entity recognition system.
Following recent advances in artificial neural network research, the recognizer employs …
Following recent advances in artificial neural network research, the recognizer employs …