Advances in Open Domain Question Answering (Text, Speech and by Tomek Strzalkowski, Sanda Harabagiu

By Tomek Strzalkowski, Sanda Harabagiu

This new Springer quantity offers a finished and special examine present ways to automatic query answering. the extent of presentation is appropriate for beginners to the sector in addition to for pros wishing to review this region and/or to construct useful QA structures. The e-book can function a "how-to" guide for IT practitioners and method builders. it could possibly even be used to coach graduate classes in machine technology, info technology and similar disciplines.

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This filter detects images that are typically used to emphasize the borders of the various HTML canvases. (c) Name filter. This filter discards images whose name contains specific strings we identified as typical layout image names. The most common sub-strings we discovered are: “dot”, “arrow”, “null ”, “pixel”, “spacer”, “clear”, “blank”, “bullet”, “logo”, “banner”, “icon”, “bar” and “button”. 3. The images that passed the previous filter are stored in the normalized document, preserving the relative document position.

The module adds related concepts from the domain ontologies to passage retrieval queries. First, it determines which semantic relations should be followed for query expansion; IsA is an immediate option, but other relation types may be useful. The domain-specific concepts included in the query are selected based on their frequency of occurrence in the collection and relative semantic distance metrics. ” the queries used for passage retrieval are: ƒ without ontology information: (biological AND agents AND Qaeda) ƒ with ontology information: ((biological AND agents) OR (bacterial AND agent) OR (viral AND agent) OR (fungal AND agent) OR (toxic AND agent) OR ...

Logic Forms are derived from the grammar rules found in the parse tree of a sentence. There are far too many grammar rules in the English language to efficiently and realistically implement them all. We have observed that the top ten most frequently used grammar rules cover 90% of the cases for WordNet glosses. This is referred to as the 10-90 rule (Moldovan and Rus, 2001). Below we provide a sample sentence and its corresponding LF representation. More details regarding the transformation of text into logic forms are presented in (Moldovan and Rus, 2001).

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