Research Summary: Intelligent Natural Language Processing Techniques and Tools

  • Alessio Paolucci
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5649)


My research path started with my master thesis (supervisor Prof. Stefania Costantini) about a neurobiologically-inspired proposal in the field of natural language processing. In more detail, we proposed the “Semantic Enhanced DCGs” (for short SE-DCGs) extension to the well-known DCG’s to allow for parallel syntactic and semantic analysis, and generate semantically-based description of the sentence at hand. The analysis carried out through SE-DCG’s was called “syntactic-semantic fully informed analysis”, and it was designed to be as close as possible (at least in principle) to the results in the context of neuroscience that I had revised and studied. As proof-of-concept, I implemented the prototype of semantic search engine, the Mnemosine system. Mnemosine is able to interact with a user in natural language and to provide contextual answer at different levels of detail. Mnemosine has been applied to a practical case-study, i.e., to the WikiPedia Web pages. A brief overview of this work was presented during CICL 08 [1].


  1. 1.
    S. Costantini, Paolucci, A.: Semantically augmented dcg analysis for next-generation search engineGoogle Scholar
  2. 2.
    Bos, J., Markert, K.: Recognising textual entailment with logical inference, pp. 628–635 (2005)Google Scholar
  3. 3.
    Baral, C., Dzifcak, J., Son, T.C.: Using answer set programming and lambda calculus to characterize natural language sentences with normatives and exceptions, 818–823 (2008)Google Scholar
  4. 4.
    Moldovan, D.I., Harabagiu, S.M., Girju, R., Morarescu, P., Lacatusu, V.F., Novischi, A., Badulescu, A., Bolohan, O.: Lcc tools for question answering, TRECGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Alessio Paolucci
    • 1
  1. 1.Department of Computer ScienceUniversity of L’AquilaCoppitoItaly

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