Connexor | Natural Knowledge

Exploring Predicate-Argument Relations for Named Entity Recognition in the Molecular Biology Domain

T. Wattarujeekrit and N. Collier, “Exploring Predicate-Argument Relations for Named Entity Recognition in the Molecular Biology Domain”, in Discovery Science, vol. 3735, A. Hoffmann, H. Motoda, and T. Scheffer Berlin / Heidelberg: Springer, 2005, pp. 267-280.

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Extending Q&A systems to dialogue systems

A. Jönsson and M. Merkel, “Extending Q&A systems to dialogue systems”, in NoDaLiDa, Reykjavik, Iceland, 2003.

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About the effects of using Anaphora Resolution in assessing free-text student answers

D. Pérez, O. Postolache, E. Alfonseca, D. Cristea, and P. Rodriguez, “About the effects of using Anaphora Resolution in assessing free-text student answers”, in Recent Advances in Natural Language Processing (RANLP), Borovets, Bulgaria, 2005.

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Summarizing documents based on cue-phrases and references

D. Cristea, O. Postolache, and L. Ghetu, “Summarizing documents based on cue-phrases and references”, in International Symposium on Reference Resolution and its Apllications to Questions Answering and Summarization, Venice, 2003.

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Framework and Resources for Natural Language Parser Evaluation

T. Kakkonen, “Framework and Resources for Natural Language Parser Evaluation”, University of Joensuu, 2007.

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A computer-aided environment for generating multiple-choice test items

R. Mitkov, L. A. Ha, and N. Karamanis, “A computer-aided environment for generating multiple-choice test items”, Natural Language Engineering, vol. 12, pp. 177–194, 2006.

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A method for extracting causal knowledge from textual databases

C. Khoo, S. Chan, Y. Niu, and A. Ang, “A method for extracting causal knowledge from textual databases”, Singapore journal of library & information management, vol. 28, pp. 48–63, 1999.

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Towards a more consistent and comprehensive evaluation of anaphora resolution algorithms and systems

R. Mitkov, “Towards a more consistent and comprehensive evaluation of anaphora resolution algorithms and systems”, Applied Artificial Intelligence, vol. 15, pp. 253-276, 2001.

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A classification approach to word prediction

Y. Even-Zohar and D. Roth, “A classification approach to word prediction”, in 1st North American chapter of the Association for Computational Linguistics conference, Seattle, Washington, 2000.

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Syntax-prosody interface for Romanian within information structure theories

N. Curteanu, D. Trandabăţ, and M. Alex Moruz, “Syntax-prosody interface for Romanian within information structure theories”, in 4th Conference on Speech Technology and Human-Computer Dialogue (SpeD-2007), Bucharest, 2007.

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