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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 151175 of 351 papers

TitleStatusHype
Corpora and Processing Tools for Non-standard Contemporary and Diachronic Balkan Slavic0
Indexation libre et contr\^ol\'ee d'articles scientifiques. Pr\'esentation et r\'esultats du d\'efi fouille de textes DEFT2012 (Controlled and free indexing of scientific papers. Presentation and results of the DEFT2012 text-mining challenge) [in French]0
Improving the Morphological Analysis of Classical Sanskrit0
CoRoLa --- The Reference Corpus of Contemporary Romanian Language0
Improving Neural Translation Models with Linguistic Factors0
Coreference Resolution in FreeLing 4.00
ASOBEK at SemEval-2016 Task 1: Sentence Representation with Character N-gram Embeddings for Semantic Textual Similarity0
Iula2Standoff: a tool for creating standoff documents for the IULACT0
Analysing cross-lingual transfer in lemmatisation for Indian languages0
JAIST: Combining multiple features for Answer Selection in Community Question Answering0
JHUBC's Submission to LT4HALA EvaLatin 20200
Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging0
Impact of Feature Selection on Micro-Text Classification0
Context Sensitive Neural Lemmatization with Lematus0
Illinois-LH: A Denotational and Distributional Approach to Semantics0
Context Sensitive Lemmatization Using Two Successive Bidirectional Gated Recurrent Networks0
KLUE-CORE: A regression model of semantic textual similarity0
A Simple Joint Model for Improved Contextual Neural Lemmatization0
Korp --- the corpus infrastructure of Spr0
LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network0
LAMB: A Good Shepherd of Morphologically Rich Languages0
LatinCy: Synthetic Trained Pipelines for Latin NLP0
How low is too low? A monolingual take on lemmatisation in Indian languages0
Learning Representations for Text-level Discourse Parsing0
Context based lemmatizer for Polish language0
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