ABSTRACT
After considerable initial research, followed by years of relative silence in the early 1980s, anaphora resolution has attracted the attention of many researchers in the last ten years and a great deal of successful work on the topic has been produced. Discourse-oriented theories and formalisms such as DRT and centering inspired new research on the computational treatment of anaphora. The drive towards corpus-based, robust NLP solutions further stimulated interest for alternative and/or data-enriched approaches. Last, but not least, application-driven research in areas such as automatic abstracting and information extraction independently identified the importance of (and boosted the research in) anaphora and coreference resolution.
