Traditional clustering algorithms do not consider the semantic relationships among words so
that cannot accurately represent the meaning of documents. To overcome this problem …

We derive the rhetorical structures of texts by means of two new, surface-form-based
algorithms: one that identifies discourse usages of cue phrases and breaks sentences into …

Previous researches on advanced representations for document retrieval have shown that
statistical state-of-the-art models are not improved by a variety of different linguistic …

Most current automatic hypertext generation systems rely on term repetition to calculate the
relatedness of two documents. There are well-recognized problems with such approaches …

The concept of relevance is a hot topic in the information retrieval process. In recent years
the extreme growth of digital documents brought to light the need for novel approaches and …

HiSToRiCALLy, NEW spaces for public discussion have been invented every few centuries
(the agora, plaza, town square, town hall, café, newspaper). The introduction of electrical …

We examine clarification dialogue, a mechanism for refining user questions with follow-up
questions, in the context of open domain Question Answering systems. We develop an …

We examine the implementation of clarification dialogues, a mechanism for ensuring that
question answering systems take into account user goals by allowing them to ask series of …

An algorithm for calculating semantic similarity between sentences using a variety of
linguistic information is presented and applied to the problem of Question Answering. This …

Most current automatic hypertext generation systems rely on term repetition to calculate the
relatedness of two documents. There are well-recognized problems with such approaches …