On script-generated web sites, many documents share common HTML tree structure, allowing wrappers to effectively extract information of interest. Of course, the scripts and thus ...
In this paper, we present a Support Vector Machine (SVM) based ensemble approach to combat the extractive multi-document summarization problem. Although SVM can have a good general...
In the context of biomedical information retrieval (IR), this paper explores the relationship between the document’s global context and the query’s local context in an attempt ...
Annotating training data for event extraction is tedious and labor-intensive. Most current event extraction tasks rely on hundreds of annotated documents, but this is often not en...
In this poster, we propose a novel document summarization approach named Ontology-enriched M ulti-Document Summarization(OMS) for utilizing background knowledge to improve summari...