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Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER
International Conference on Text, Speech and Dialogue, 2019Contextualized embeddings, which capture appropriate word meaning depending on context, have recently been proposed. We evaluate two methods for precomputing such embeddings, BERT and Flair, on four Czech text processing tasks: part-of-speech (POS ...
Milan Straka, J. Straková, Jan Hajic
semanticscholar +1 more source
Coupled POS Tagging on Heterogeneous Annotations
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2017The limited scale and genre coverage of labeled data greatly hinders the effectiveness of supervised models, especially when analyzing spoken languages, such as texts transcribed from speech and informal text including tweets and product comments in Internet.
Zhenghua Li +5 more
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On Empirical Evaluation of Deep Architectures for Indonesian POS Tagging Problem
International Conference on Computer, Control, Informatics and its Applications, 2018Models with deep architectures have been state-of-the-arts technologies in many natural language problems such as text classification, name entity recognition, language models, and Part-of-Speech (POS) tagging.
R. Yuwana, Endang Suryawati, H. Pardede
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Context-Based Bigram Model for POS Tagging in Hindi: A Heuristic Approach
Annals of Data Science, 2022S. Bharti +3 more
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POS-Tagging Enhanced Korean Text Summarization
2017Information explosion causes a serious scarcity of people’s time and a severe divergence of people’s attention. This paper addresses the issue of automatic summarization for Korean texts and presents a novel keyword-extraction-based Korean text summarization (KKTS) algorithm. We investigate the enhancement of POS-tagging to the KKTS algorithm according
Wuying Liu, Lin Wang 0020
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Fake News Detection Using Pos Tagging and Machine Learning
Journal of Applied Security Research, 2023Afreen Kansal
exaly
FlexTag: A Highly Flexible PoS Tagging Framework [PDF]
Proceedings of the Language Resources and Evaluation Conference, 2016 Zesch, Torsten, Horsmann, Tobias
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A Hierarchical Sequence-to-Sequence Model for Korean POS Tagging
ACM Transactions on Asian and Low-Resource Language Information Processing, 2021Guozhe Jin, Zhezhou Yu
exaly
A Novel Approach for Morphological Analysis and Inflections Based on POS Tagging
Lecture Notes in Electrical Engineering, 2021Kanu Goel
exaly
A Neural Joint Model with BERT for Burmese Syllable Segmentation, Word Segmentation, and POS Tagging
ACM Transactions on Asian and Low-Resource Language Information Processing, 2021Shengxiang Gao +2 more
exaly