In this paper, we present a learning-based approach for enabling domain-awareness for a generic natural language interface. Our approach automatically acquires domain knowledge fr...
We present an algorithm for generating referring expressions in open domains. Existing algorithms work at the semantic level and assume the availability of a classification for at...
Preliminary work on the development of measures appropriate for the safety domain is reported. Measures are expressed in the style of the Practical Software and Systems Measuremen...
John Murdoch, Graham Clark, Antony Powell, Paul Ca...
Pfam contains multiple alignments and hidden Markov model based profiles (HMM-profiles) of complete protein domains. The definition of domain boundaries, family members and alignm...
Erik L. L. Sonnhammer, Sean R. Eddy, Ewan Birney, ...
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...