We propose a novel machine learning approach to the task of identifying definitions in
Polish documents. Specifics of the problem domain and characteristics of the available …

The paper deals with the task of definition extraction from a small and noisy corpus of
instructive texts. Three approaches are presented: Partial Parsing, Machine Learning and a …

Acquisition of new terminology from specific domains and its adequate description within
terminological dictionaries is a complex task, especially for languages that are …

The task of definition extraction aims to acquire definitions of terms from texts. This task is a
subtask of terminology extraction, ontology construction, semantic relation learning, and …

Zuallererst möchte ich mich bei meinem Doktorvater Manfred Pinkal bedanken, ohne
dessen Unterstützung, Rat, Vertrauen und nicht zuletzt Geduld diese Arbeit nie zu Stande …

In this proposed work we are applying valuable power gating schemes to FinFET based
Schmitt trigger to enhance its performance by reducing the leakage current in standby mode …

The article discusses methods of improving the ways of applying Balanced Random Forests
(BRFs), a machine learning classification algorithm, used to extract definitions from written …

Automatic definition extraction has attracted wide interest in NLP domain and knowledge-
based applications. One primary task of definition extraction is mining patterns from …

This paper deals with the task of definition extraction with the training corpus suffering from
the problems of small size, high noise and heavy imbalance. A previous approach, based on …

This doctoral research work provides a set of methods and heuristics for building a definition
extractor or for fine-tuning an existing one. In order to develop and test the architecture, a …