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Nowadays, we are witnessing an ever-growing trend of deploying lightweight linguistic
analysis for solving problems that deal with the conversion of the vast bulk of raw textual …

We present an implemented approach for domain-restricted question answering from
structured knowledge sources, based on robust semantic analysis in a hybrid NLP system …

In this paper we present the design, implementation and evaluation of SOBA, a system for
ontology-based information extraction from heterogeneous data resources, including plain …

E-business integration is a vision we have developed over a long period of time. As we have
worked in business practice for many years prior to and in parallel with our academic …

Open ontology learning is the process of extracting a domain ontology from a knowledge
source in an unsupervised way. Due to its unsupervised nature, it requires filtering …

This article describes a knowledge management (KM) approach conceived from
countermeasures targeted at addressing failure factors suggested in the literature. In order …

The complexity of sentences characteristic to biomedical articles poses a challenge to
natural language parsers, which are typically trained on large-scale corpora of non-technical …

Theoretical linguistics requires example sentences both as empirical basis for the
development of theories and as counterexamples to previous generalizations. In addition to …

A key challenge at the core of many Natural Language Processing (NLP) tasks is the ability
to determine which conclusions can be inferred from a given natural language text. This …