Abstract. Automatic document summarization has become increasingly important due to the quantity of written material generated worldwide. Generating good quality summaries enables ...
Judith D. Schlesinger, Dianne P. O'Leary, John M. ...
Abstract. This paper describes an experimental investigation of interactive techniques for cross-language information access. The task was to answer factual questions from a large ...
Daqing He, Jianqiang Wang, Jun Luo, Douglas W. Oar...
Abstract This paper presents a method for combining query-relevance with information-novelty in the context of text retrieval and summarization. The Maximal Marginal Relevance (MMR...
Theme network is a semantic network of document specific themes. So far Natural Language Processing (NLP) research patronized much of topic based summarizer system, unable to captu...
Abstract. Evaluation is one of the hardest tasks in automatic text summarization. It is perhaps even harder to determine how much a particular component of a summarization system c...