Coreference resolution aims at resolving repeated references to an object in a document
and forms a core component of natural language processing (NLP) research. When used as …

The research focus of computational coreference resolution has exhibited a shift from
heuristic approaches to machine learning approaches in the past decade. This paper …

Teaching computers to solve language problems is one of the major challengesof natural
language processing. There is a large amount of interesting researchdevoted to this field …

A human-inspired, linguistically sophisticated model of language understanding for
intelligent agent systems. One of the original goals of artificial intelligence research was to …

Concept map is a graphical tool for representing knowledge. They have been used in many
different areas, including education, knowledge management, business and intelligence …

Traditional learning-based coreference resolvers operate by training the mention-pair model
for determining whether two mentions are coreferent or not. Though conceptually simple and …

I would like to thank many people who helped me finish my PhD thesis and finish it the way it
went. My doctoral advisor Prof. Dr. Hermann Helbig was always open to discuss the …

Polish and Russian are partial pro‐drop languages with different patterns of subject
realization: whereas pronominal subjects are more commonly elided in Polish, they are …

Verb phrase (VP) ellipsis is the omission of a verb phrase whose meaning can be
reconstructed from the linguistic or real-world context. It is licensed in English by auxiliary …

In this paper we argue that comparative evaluation in anaphora resolution has to be
performed using the same pre-processing tools and on the same set of data. The paper …