David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Analogical Natural Language Processing aims to challenge the current hegemony of the rulebased paradigm in NLP. Traditional NLP decomposes languages into atomic units, whereas example-based NLP centres around the re-use of language fragments. The book consists of six chapters : a short introduction, chapters on background material, analogical machine translation, stochastic and analogy-based NLP, some experiments in analogical cloning and a conclusion. We shall now look at the chapters more closely
|Keywords||No keywords specified (fix it)|
No categories specified
(categorize this paper)
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Theodore Bach (2012). Analogical Cognition: Applications in Epistemology and the Philosophy of Mind and Language. Philosophy Compass 7 (5):348-360.
Christopher Manning, Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines.
Mark Johnson (1988). Some Constraints on Embodied Analogical Understanding. In Analogical Reasoning. Dordrecht: Kluwer.
Guiraude Lame (2004). Using NLP Techniques to Identify Legal Ontology Components: Concepts and Relations. [REVIEW] Artificial Intelligence and Law 12 (4):379-396.
Varol Akman & Mehmet Surav (1997). The Use of Situation Theory in Context Modeling. Philosophical Explorations.
Sorry, there are not enough data points to plot this chart.
Added to index2009-01-28
Recent downloads (6 months)0
How can I increase my downloads?