In this paper, we propose an unsupervised method for discovering inference rules from text,
such as" X is author of Y≈ X wrote Y"," X solved Y≈ X found a solution to Y", and" X caused …

One of the main challenges in question-answering is the potential mismatch between the
expressions in questions and the expressions in texts. While humans appear to use …

Automatic keyphrase extraction techniques aim to extract quality keyphrases for higher level
summarization of a document. Majority of the existing techniques are mainly domain …

" The Encyclopedia of Library and Information Science provides an outstanding resource in
33 published volumes with 2 helpful indexes. This thorough reference set--written by 1300 …

Christian Jacquemin shows how the power of natural language processing (NLP) can be
used to advance text indexing and information retrieval (IR). In this book Christian …

Human beings have been using all kinds of devices to perform diverse things since their
evolution. The human brain's imagination contributed to the creation of numerous devices …

In this paper, we propose a novel unsupervised approach to query segmentation, an
important task in Web search. We use a generative query model to recover a query's …

The increasing availability of music in digital format needs to be matched by the
development of tools for music accessing, filtering, classification, and retrieval. The research …

Topic indexing is the task of identifying the main topics covered by a document. These are
useful for many purposes: as subject headings in libraries, as keywords in academic …

This article describes an evaluation of the Kea automatic keyphrase extraction algorithm.
Document keyphrases are conventionally used as concise descriptors of document content …