Word sense disambiguation: A survey
R Navigli - ACM computing surveys (CSUR), 2009 - dl.acm.org
Word sense disambiguation (WSD) is the ability to identify the meaning of words in context
in a computational manner. WSD is considered an AI-complete problem, that is, a task …
in a computational manner. WSD is considered an AI-complete problem, that is, a task …
Recent advances in the utility and use of the General Practice Research Database as an example of a UK Primary Care Data resource
T Williams, T van Staa, S Puri… - Therapeutic advances in …, 2012 - journals.sagepub.com
Since its inception in the mid-1980s, the General Practice Research Database (GPRD) has
undergone many changes but remains the largest validated and most utilised primary care …
undergone many changes but remains the largest validated and most utilised primary care …
[图书][B] Semantic similarity from natural language and ontology analysis
Artificial Intelligence federates numerous scientific fields in the aim of developing machines
able to assist human operators performing complex treatments---most of which demand high …
able to assist human operators performing complex treatments---most of which demand high …
The structure of voluntary disclosure narratives: Evidence from tone dispersion
KD Allee, MD DeAngelis - Journal of Accounting Research, 2015 - Wiley Online Library
We examine tone dispersion, or the degree to which tone words are spread evenly within a
narrative, to evaluate whether narrative structure provides insight into managers' voluntary …
narrative, to evaluate whether narrative structure provides insight into managers' voluntary …
Random walks for knowledge-based word sense disambiguation
Abstract Word Sense Disambiguation (WSD) systems automatically choose the intended
meaning of a word in context. In this article we present a WSD algorithm based on random …
meaning of a word in context. In this article we present a WSD algorithm based on random …
Mulan: Multilingual label propagation for word sense disambiguation
The knowledge acquisition bottleneck strongly affects the creation of multilingual sense-
annotated data, hence limiting the power of supervised systems when applied to multilingual …
annotated data, hence limiting the power of supervised systems when applied to multilingual …
A synset relation-enhanced framework with a try-again mechanism for word sense disambiguation
M Wang, Y Wang - Proceedings of the 2020 conference on …, 2020 - aclanthology.org
Contextual embeddings are proved to be overwhelmingly effective to the task of Word Sense
Disambiguation (WSD) compared with other sense representation techniques. However …
Disambiguation (WSD) compared with other sense representation techniques. However …
A game-theoretic approach to word sense disambiguation
This article presents a new model for word sense disambiguation formulated in terms of
evolutionary game theory, where each word to be disambiguated is represented as a node …
evolutionary game theory, where each word to be disambiguated is represented as a node …
A quick tour of word sense disambiguation, induction and related approaches
R Navigli - SOFSEM 2012: Theory and Practice of Computer …, 2012 - Springer
Abstract Word Sense Disambiguation (WSD) and Word Sense Induction (WSI) are two
fundamental tasks in Natural Language Processing (NLP), ie, those of, respectively …
fundamental tasks in Natural Language Processing (NLP), ie, those of, respectively …
Automatic detection and resolution of lexical ambiguity in process models
F Pittke, H Leopold, J Mendling - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
System-related engineering tasks are often conducted using process models. In this context,
it is essential that these models do not contain structural or terminological inconsistencies …
it is essential that these models do not contain structural or terminological inconsistencies …