This paper introduces the single-entity-centered setting for transfer across two relational domains. In this setting, target domain data contains information about only a single entity. We present the SR2LR algorithm that finds an effective mapping of the source model to the target domain in this setting and demonstsrate its effectiveness in three relational domains. Our experiments additionall...

Topic models, an unsupervised technique for inferring translation domains improve machine translation quality. However, previous work uses only the source language and completely ignores the target language, which can disambiguate domains. We propose new polylingual tree-based topic models to extract domain knowledge that considers both source and target languages and derive three different inf...

This paper is concerned with the problem of domain adaptation with multiple sources from a causal point of view. In particular, we use causal models to represent the relationship between the features X and class label Y , and consider possible situations where different modules of the causal model change with the domain. In each situation, we investigate what knowledge is appropriate to transfe...

The goal of this paper is to use a largescale corpus, i.e. the Gigaword Corpus via the interface of Chinese Sketch Engine, to determine underlying reasons between source and target domain pairings for conceptual metaphors, called Mapping Principles. In particular, we will employ a frequency-based collocational approach to examine metaphors that use the source domain of BUILDING in Mandarin Chin...

Domain adaptation (DA) is the process in which labeled training samples available from one domain is used to improve the performance of statistical tasks performed on test samples drawn from a different domain. The domain from which the training samples are obtained is termed as the source domain, and the counterpart consisting of the test samples is termed as the target domain. Few unlabeled t...

For the semantics of probabilistic features in programming mainly two approaches are used for building models. One is the Giry monad of Borel probability measures over metric spaces, and the other is Jones’ probabilistic powerdomain monad [6] over dcpos (directed complete partial orders). This paper places itself in the second domain theoretical tradition. The probabilistic powerdomain monad is...

Background: The C2 domain is a Ca2 sensor that drives the first step in the activation of conventional PKC isozymes. Results:Hydrophobic interactions drive membrane association and electrostatic interactions drive membrane retention of the C2 domain. Conclusion: The amplitude and location of conventional PKC signaling is controlled by residues in the C2 domain. Significance: Point mutations in ...

Background. Domain adaptation focuses on the situation where we have data generated from multiple domains, which are assumed to be different, but similar, in a certain sense. In this work we focus on the case where there are two domains, known as the source and the target domain. The source domain is assumed to have a large amount of labeled data while labeled data in the target domain is scarc...

Conceptual metaphors provide in linguistic form the information that is mapped between two knowledge domains. The examination of conceptual metaphors has always involved a comparison of target and source mappings. However, defining what should be included in any one domain is a difficult issue. This paper claims that patterns in conceptual metaphor mappings can be found by first identifying the...