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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 8190 of 351 papers

TitleStatusHype
Attention-free encoder decoder for morphological processing0
A data-driven approach to verbal multiword expression detection. PARSEME Shared Task system description paper0
CUNI--Malta system at SIGMORPHON 2019 Shared Task on Morphological Analysis and Lemmatization in context: Operation-based word formation0
CURE: Collection for Urdu Information Retrieval Evaluation and Ranking0
Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER0
Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Task0
Automated Identification of Disaster News For Crisis Management Using Machine Learning0
Data-Driven Morphological Analysis for Uralic Languages0
Automatically Acquired Lexical Knowledge Improves Japanese Joint Morphological and Dependency Analysis0
Compounds and distributional thesauri0
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