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Title:
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GETTING CLOSER TO THE THINGS WE ARE LOOKING
FOR - A PROPOSAL FOR ASPECT-DRIVEN TEXT
ANALYSIS |
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Author(s):
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Kurt Englmeier and Matthias Schneider |
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ISBN:
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978-989-8704-23-8 |
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Editors:
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Pedro Isaías |
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Year:
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2020 |
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Edition:
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Single |
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Keywords:
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Information Retrieval, Text Analysis, Text Mining, Aspects, Named Entities, Bag of Words, Blueprints |
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Type:
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Full |
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First Page:
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99 |
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Last Page:
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106 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Locating facts in texts is still a challenge for retrieval systems. Instead of measuring the relevance of the entire text for a
search query, the focus of our approach of fact retrieval and text mining is on spotting only essential parts of text. We
propose to enrich search queries by aspects supporting highly precise retrieval. An aspect denotes the unique
interpretation of a set of words that appear in close proximity. We conceive an aspect representation as a hierarchical
structure composed by its semantic elements that, in turn, constitute the aspect's implicit meaning.
In this paper, we present the definition and application of aspect blueprints that serve as standardized representations of
aspects. Our prototypical system Contexter operates on these blueprints and locates facts in texts. In a semi-automatic
way, the system tries to detect variants of blueprints that the user can confirm or reject. Here, we illustrate our approach
and system in the realm of economic information. |
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