Morphological Disambiguation
5 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Morphological Disambiguation
NEMO-Corpus
Most implemented papers
A Morphology-aware Network for Morphological Disambiguation
hbahadirsahin/text_categorization
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In this paper, we propose a system that uses deep learning techniques for morphological disambiguation.
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags
In this work, we propose a model which alleviates the need for such disambiguators by jointly learning NER and MD taggers in languages for which one can provide a list of candidate morphological analyses.
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags
In this work, we propose a model which alleviates the need for such disambiguators by jointly learning NER and MD taggers in languages for which one can provide a list of candidate morphological analyses.
Inforex --- a Collaborative Systemfor Text Corpora Annotation and Analysis Goes Open
In the paper we present the latest changes introduce to Inforex {---} a web-based system for qualitative and collaborative text corpora annotation and analysis.
A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages
Jivnesh/LCM
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EACL 2021
In this work, we focus on dependency parsing for morphological rich languages (MRLs) in a low-resource setting.
