Candidate Generation

This paper describes a syllable-based computational model for the Korean morphology. In this model, morpholovical analysis is considered as a process of candidate Generation and candidate selection. In order to …...

String transformation, which maps a source string s into its desirable form t∗, is related to various applications including stemming, lemmatization, and spelling correction. The essential and important step for …...

This paper proposes a new method for ap- proximate string search, specifically candidate generation in spelling error correction, which is a task as follows. Given a misspelled word, the system …...

AbstractRecent research on entity linking (EL) has introduced a plethora of promising techniques, ranging from deep neural networks to joint inference. But despite numerous papers there is surprisingly little understanding …...

AbstractCross-lingual entity linking (XEL) is the task of finding referents in a target-language knowledge base (KB) for mentions extracted from source-language texts. The first step of (X)EL is candidate generation, …...

AbstractCandidate generation is a crucial module in entity linking. It also plays a key role in multiple NLP tasks that have been proven to beneficially leverage knowledge bases. Nevertheless, it …...

AbstractLearning representations of entity mentions is a core component of modern entity linking systems for both candidate generation and making linking predictions. In this paper, we present and empirically analyze …...