Wyniki wyszukiwania - BazTech

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Erotetic Reasoning Corpus. A data set for research on natural question processing

Łupkowski P., Urbański M., Wiśniewski A., Błądek W., Juska A., Kostrzewa A., Pankow D., Paluszkiewicz K., Ignaszak O., Urbańska J., Żyluk N., Gajda A., Marciniak B.

Journal of Language Modelling

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2017

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Vol. 5, No. 3

607--631

EN

The aim of this paper is to present the Erotetic Reasoning Corpus (ERC) which constitutes a data set for research on natural question processing. We describe the theoretical background, linguistic data and tags used for the annotation process. We also discuss the potential areas in which the ERC can be exploited.

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Human-likeness assessment for the Uncanny Valley Hypothesis

Łupkowski P, Rybka M., Dziedzic D., Włodarczyk W.

Bio-Algorithms and Med-Systems

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2017

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Vol. 13, no. 3

125--131

EN

The Uncanny Valley Hypothesis (UVH, proposed in the 1970s) suggests that looking at or interacting with almost human-like artificial characters would trigger eeriness or discomfort. We studied how well subjects can assess degrees of human likeness for computer-generated characters. We conducted two studies, where subjects were asked to assess human likeness of given computergenerated models (Study 1) and to point the most typical model for a given category (Study 2). The results suggest that evaluation of the way human likeness is assessed should be an internal part of UVH research.

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Query responses

Łupkowski P., Ginzburg J.

Journal of Language Modelling

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2016

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Vol. 4, No. 2

245--292

EN

In this article we consider the phenomenon of answering a query with a query. Although such answers are common, no large-scale, corpusbased characterization exists, with the exception of clarification requests. After briefly reviewing different theoretical approaches on this subject, we present a corpus study of query responses in the British National Corpus and develop a taxonomy for query responses. We identify a variety of response categories that have not been formalized in previous dialogue work, particularly those relevant to adversarial interaction. We show that different response categories have significantly different rates of subsequent answer provision. We provide a formal analysis of the response categories within the framework of KoS.

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Application of the Technology Acceptance Model to OCR-based CAPTCHA systems. Preliminary results

Łupkowski P, Kleka P

Bio-Algorithms and Med-Systems

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2012

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Vol. 8, no. 2

207--220

EN

This research investigates the applicability of F. Davis’ Technology Acceptance Model (TAM) to OCR-based CAPTCHAs involved in a free e-mail accounts registration process. The results provide preliminary evidence that the model may be a useful tool for research focused on acceptance of CAPTCHAs. The results are especially interesting when it comes to the concept of perceived usefulness and its direct relationship to the concept of attitude toward use. This relation indicates a new area of research for CAPTCHA developers interested in improving usability and accessibility of these systems.