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Lemmatization

Lemmatization is a process of determining a base or dictionary form (lemma) for a given surface form. Especially for languages with rich morphology it is important to be able to normalize words into their base forms to better support for example search engines and linguistic studies. Main difficulties in Lemmatization arise from encountering previously unseen words during inference time as well as disambiguating ambiguous surface forms which can be inflected variants of several different base forms depending on the context.

Source: Universal Lemmatizer: A Sequence to Sequence Model for Lemmatizing Universal Dependencies Treebanks

Papers

Showing 331340 of 351 papers

TitleStatusHype
An Automated Text Categorization Framework based on Hyperparameter OptimizationCode0
Unsupervised Lemmatization as Embeddings-Based Word ClusteringCode0
Integrated Sequence Tagging for Medieval Latin Using Deep Representation LearningCode0
Cross-lingual Named Entity Corpus for Slavic LanguagesCode0
IUCM at SemEval-2018 Task 11: Similar-Topic Texts as a Comprehension Knowledge SourceCode0
Cross-Lingual Lemmatization and Morphology Tagging with Two-Stage Multilingual BERT Fine-TuningCode0
Tagging and parsing of multidomain collectionsCode0
BRENT: Bidirectional Retrieval Enhanced Norwegian TransformerCode0
Morpheus: A Neural Network for Jointly Learning Contextual Lemmatization and Morphological TaggingCode0
ÚFAL MRPipe at MRP 2019: UDPipe Goes Semantic in the Meaning Representation Parsing Shared TaskCode0
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