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

Showing 271280 of 351 papers

TitleStatusHype
Enhancing Sumerian Lemmatization by Unsupervised Named-Entity Recognition0
Persian Sentiment Analyzer: A Framework based on a Novel Feature Selection Method0
Non-Standard Words as Features for Text Categorization0
AI-KU: Using Co-Occurrence Modeling for Semantic Similarity0
Illinois-LH: A Denotational and Distributional Approach to Semantics0
Towards Semantic Validation of a Derivational Lexicon0
The CMU Machine Translation Systems at WMT 20140
DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments0
Tolerant BLEU: a Submission to the WMT14 Metrics Task0
Open-Source Tools for Morphology, Lemmatization, POS Tagging and Named Entity Recognition0
Show:102550
← PrevPage 28 of 36Next →

No leaderboard results yet.