Add to ORKGProgress is being made in Natural Language Processing (NLP) but there is still a long way towards Natural Language Understanding. An important step towards this goal is the development of technologies and resources that deal with concepts rather than words. However, to be able to build the next generation of intelligent open domain Human Language Technology (HLT) application systems we need to solve two complementary and intermediate tasks: Word Sense Disambiguation (WSD) and automatic large-scale enrichment of Lexical Knowledge Bases
Understanding human language computationally remains a challenge at different levels, phonologically...
Understanding human language computationally remains a challenge at different levels, phonologically...
Word sense disambiguation algorithms, with few exceptions, have made use of only one lexical knowled...
Knowledge Technologies need to extract knowledge from existing texts, which calls for advanced Human...
ABSTRACT: Ambiguity and human language have been tangled since the rise of philological communicatio...
A pesar del progreso que se realiza en el Procesamiento del Lenguaje Natural (PLN) aún estamos lejos...
Knowledge Technologies need to extract knowledge from existing texts, which calls for advanced Human...
In natural languages, a word can take on different meanings in different contexts. Word sense disamb...
Word Sense Disambiguation (WSD) is the task of identifying the meaning of a word in a given context....
Word Sense Disambiguation (WSD) and Word Sense Induction (WSI) are two fundamental tasks in Natural ...
In natural languages, a word can take on different meanings in different contexts. Word sense disamb...
Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a comp...
Word Sense Disambiguation (WSD) is the task of identifying the intended sense of a word in a computa...
A pesar del progreso que se realiza en el Procesamiento del Lenguaje Natural (PLN) aún estamos lejos...
Human Language Technologies (HLT) need dictionaries, to tell them what words mean and how they behav...
Understanding human language computationally remains a challenge at different levels, phonologically...
Understanding human language computationally remains a challenge at different levels, phonologically...
Word sense disambiguation algorithms, with few exceptions, have made use of only one lexical knowled...
Knowledge Technologies need to extract knowledge from existing texts, which calls for advanced Human...
ABSTRACT: Ambiguity and human language have been tangled since the rise of philological communicatio...
A pesar del progreso que se realiza en el Procesamiento del Lenguaje Natural (PLN) aún estamos lejos...
Knowledge Technologies need to extract knowledge from existing texts, which calls for advanced Human...
In natural languages, a word can take on different meanings in different contexts. Word sense disamb...
Word Sense Disambiguation (WSD) is the task of identifying the meaning of a word in a given context....
Word Sense Disambiguation (WSD) and Word Sense Induction (WSI) are two fundamental tasks in Natural ...
In natural languages, a word can take on different meanings in different contexts. Word sense disamb...
Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a comp...
Word Sense Disambiguation (WSD) is the task of identifying the intended sense of a word in a computa...
A pesar del progreso que se realiza en el Procesamiento del Lenguaje Natural (PLN) aún estamos lejos...
Human Language Technologies (HLT) need dictionaries, to tell them what words mean and how they behav...
Understanding human language computationally remains a challenge at different levels, phonologically...
Understanding human language computationally remains a challenge at different levels, phonologically...
Word sense disambiguation algorithms, with few exceptions, have made use of only one lexical knowled...