This paper introduces Latent Relational Analysis (LRA), a method for measuring relational similarity. LRA has potential applications in many areas, including...
National Research Council of Canada, 15 novembre 2013
Words are associated with emotions. For example, delightful and yummy indicate the emotion of joy, gloomy and cry are indicative of sadness, shout and boiling...
The Eighteenth Canadian Conference on Artificial Intelligence (AI'2005) [Proceedings], 2005
This paper addresses the task of finding acronym-definition pairs in text. Most of the previous work on the topic is about systems that involve manually...
Proceedings of the 1999 Genetic and Evolutionary Computation Conference (GECCO-99) Workshop Program, 1999
Evolvability is the capacity to evolve. This paper introduces a simple computational model of evolvability and demonstrates that, under certain conditions,...
Proceedings of the 2011 Conference on the Empirical Methods in Natural Language Processing, 1 août 2011
Metaphor is ubiquitous in text, even in highly technical text. Correct inference about textual entailment requires computers to distinguish the literal and...
A journal article is often accompanied by a list of keyphrases, composed of about five to fifteen important words and phrases that capture the article's main...
It has been argued that a central objective of nanotechnology is to make products inexpensively, and that self-replication is an effective approach to very...
An inductive learning algorithm takes a set of data as input and generates a hypothesis as output. A set of data is typically consistent with an infinite...
The First Joint Conference on Lexical and Computational Semantics. Volume 2: Proceedings of the 6th International Workshop on Semantic Evaluation (SemEval 2012), juillet 2012
Up to now, work on semantic relations has focused on relation classification: recognizing whether a given instance (a word pair such as virus:flu) belongs to a...
Proceedings of the Workshop on Learning in Context-Sensitive Domains, 1996
A large body of research in machine learning is concerned with supervised learning from examples. The examples are typically represented as vectors in a...
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