Memory-Based Shallow Parsing

We present memory-based learning approaches to shallow parsing and apply these to five tasks: base noun phrase identification, arbitrary base phrase recognition, clause detection, noun phrase parsing and full parsing. We use feature selection techniques and system combination methods for improving the performance of the memory-based learner. Our approach is evaluated on standard data sets and the results are compared with that of other systems. This reveals that our approach works well for base phrase identification while its application towards recognizing embedded structures leaves some room for improvement

Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition

We describe the CoNLL-2002 shared task: language-independent named entity recognition. We give background information on the data sets and the evaluation method, present a general overview of the systems that have taken part in the task and discuss their performance.Comment: 4 page

Introduction to the CoNLL-2000 Shared Task: Chunking

We describe the CoNLL-2000 shared task: dividing text into syntactically related non-overlapping groups of words, so-called text chunking. We give background information on the data sets, present a general overview of the systems that have taken part in the shared task and briefly discuss their performance.Comment: 6 page

Introduction to the CoNLL-2001 Shared Task: Clause Identification

We describe the CoNLL-2001 shared task: dividing text into clauses. We give background information on the data sets, present a general overview of the systems that have taken part in the shared task and briefly discuss their performance

Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition

We describe the CoNLL-2003 shared task: language-independent named entity recognition. We give background information on the data sets (English and German) and the evaluation method, present a general overview of the systems that have taken part in the task and discuss their performance

Атеїзм і релігія в контексті духовної культури суспільства

У статті аналізуються питання взаємовідносин атеїзму і релігії як ціннісних чинників духовної культури. Доводиться теза, що релігію та атеїзм слід розглядати як діалектично пов’язані протилежні сторони єдиного процесу розвитку духовної культури людства.В статье анализируются вопросы взаимоотношений атеизма и религии как ценностных факторов духовной культуры. Доказывается тезис, что религию и атеизм необходимо рассматривать как диалектически связанные противоположные стороны единого процесса развития духовной культуры человечества.The questions of mutual relations of atheism and religion as valuable factors of spiritual culture are considered in the article. The thesis is proved, that the religion and atheism is necessary for considering as dialectically connected opposite parties of uniform development of spiritual culture of mankind