First Steps in Automatic Anaphora Resolution in Lithuanian Language Based on Morphological Annotations and Named Entity Recognition
Voldemaras Žitkus, Lina Nemuraitė · Communications in computer and information science · 2015
Anaphora resolution is an important part of natural language processing used in machine translation, semantic search and various other information retrieval and understanding systems. Anaphora resolution algorithms usually require linguistic pre-processing tools and various expensive resources for automatically identifying anaphoric expressions. Many smaller languages, like Lithuanian, lack such resources and tools. In this paper, an algorithm is proposed that requires only morphological annotations and recognized named entities. The paper presents experimental results showing the relevance of the solution for specific domains, and considers the further immediate ways towards dealing with the overall anaphora resolution problem for Lithuanian language.