In this paper, we present a novel entity coreference algorithm for Semantic Web instances. The key issues include how to locate context information and how to utilize the context ...
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
In this paper, we describe a novel methodology that integrates the design of the (i) user interface; (ii) interaction logger; and (iii) log analyzer. It is based on formalizing, v...
This paper demonstrates the generality of the hidden Markov model approach for exploratory sequence analysis by applying the methodology to study students' learning behaviors ...
In this paper we propose a novel method for automatic evaluation of conversational agents. The method is based on analyzing the user’s affect conveyed in utterances. From analyz...
Michal Ptaszynski, Pawel Dybala, Shinsuke Higuchi,...