Question Answering using Semantic Annotation

A New Scheme for Annotating Semantic Relations between Named Entities in Corpora

Although several studies have developed models and type hierarchies for named entity annotation, no such resource is available for semantic relation annotation, despite its utility for various applications (e.g. question answering, information extraction). In this paper, we show that there are two issues in semantic relation description, one concerning knowledge engineering (what to annotate?) ...

Application of default reasoning to semantic processing under question - answering

We build the natural language question-answering system, where the query representation formula is subject to transformation in accordance to the set of default rules. This transformation is required to disambiguate entities in a vertical domain, where they usually have a principle meaning and a set of foreign ones. Default reasoning is discussed to be applicable to a variety of semantic proces...

Evaluating an Opinion Annotation Scheme Using a New Multi-Perspective Question and Answer Corpus

In recent work, Wiebe et al. (2003; 2002) propose a semantic representation for encoding the opinions and perspectives expressed at any given point in a text. This paper evaluates the opinion annotation scheme for multi-perspective vs. factbased question answering using a new question and answer corpus.

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

Automatic Multi-Layer Corpus Annotation for Evaluating Question Answering Methods: CBC4Kids

Reading comprehension tests are receiving increased attention within the NLP community as a controlled test-bed for developing, evaluating and comparing robust question answering (NLQA) methods. To support this, we have enriched the MITRE CBC4Kids corpus with multiple XML annotation layers recording the output of various tokenizers, lemmatizers, a stemmer, a semantic tagger, POS taggers and syn...