SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–275 of 351 papers

TitleStatusHype
Towards error annotation in a learner corpus of Portuguese—0
Towards Semantic Validation of a Derivational Lexicon—0
Towards the Creation of a Diachronic Corpus for Italian: A Case Study on the GDLI Quotations—0
Transformer-based Part-of-Speech Tagging and Lemmatization for Latin—0
TreeAnnotator: Versatile Visual Annotation of Hierarchical Text Relations—0
Turku Enhanced Parser Pipeline: From Raw Text to Enhanced Graphs in the IWPT 2020 Shared Task—0
Turku Neural Parser Pipeline: An End-to-End System for the CoNLL 2018 Shared Task—0
Two-Step Machine Translation with Lattices—0
Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion Classification—0
UBC\_UOS-TYPED: Regression for typed-similarity—0
Ubiquitous Usage of a Broad Coverage French Corpus: Processing the Est Republicain corpus—0
UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task—0
UDPipe at EvaLatin 2020: Contextualized Embeddings and Treebank Embeddings—0
UDPipe at SIGMORPHON 2019: Contextualized Embeddings, Regularization with Morphological Categories, Corpora Merging—0
UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing—0
UdS-(retrain|distributional|surface): Improving POS Tagging for OOV Words in German CMC and Web Data—0
Universal Lemmatizer: A Sequence to Sequence Model for Lemmatizing Universal Dependencies Treebanks—0
Universal Morphologies for the Caucasus region—0
USF at SemEval-2019 Task 6: Offensive Language Detection Using LSTM With Word Embeddings—0
Using longest common subsequence and character models to predict word forms—0
Using Resource-Rich Languages to Improve Morphological Analysis of Under-Resourced Languages—0
Utilizing Subword Entities in Character-Level Sequence-to-Sequence Lemmatization Models—0
UZH in BioNLP 2013—0
UZH@SMM4H: System Descriptions—0
Vacaspati: A Diverse Corpus of Bangla Literature—0
Show:102550
← PrevPage 11 of 15Next →

No leaderboard results yet.