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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 161170 of 351 papers

TitleStatusHype
From Text to Lexicon: Bridging the Gap between Word Embeddings and Lexical ResourcesCode0
Resource-Size matters: Improving Neural Named Entity Recognition with Optimized Large CorporaCode0
Character-level Supervision for Low-resource POS Tagging0
Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion Classification0
IUCM at SemEval-2018 Task 11: Similar-Topic Texts as a Comprehension Knowledge SourceCode0
Context Sensitive Neural Lemmatization with Lematus0
Fast Query Expansion on an Accounting Corpus using Sub-Word Embeddings0
Robustness of sentence length measures in written texts0
BioRo: The Biomedical Corpus for the Romanian Language0
SentiArabic: A Sentiment Analyzer for Standard Arabic0
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