منابع مشابه
Formalizing Fact Extraction
Schemas that define the form of facts extracted from source code are usually informal. The informal specifications of these schemas are too often incomplete or inconsistent. This paper takes the position that formal specification of fact extraction is beneficial to the reverse engineering community. A formal specification can serve as an unambiguous and reliable standard for people who use, wri...
متن کاملFact distribution in Information Extraction
Several recent Information Extraction (IE) systems have been restricted to the identification facts which are described within a single sentence. It is not clear what effect this has on the difficulty of the extraction task or how the performance of systems which consider only single sentences should be compared with those which consider multiple sentences. This paper compares three IE evaluati...
متن کاملReNoun: Fact Extraction for Nominal Attributes
Search engines are increasingly relying on large knowledge bases of facts to provide direct answers to users’ queries. However, the construction of these knowledge bases is largely manual and does not scale to the long and heavy tail of facts. Open information extraction tries to address this challenge, but typically assumes that facts are expressed with verb phrases, and therefore has had diff...
متن کاملAutomatic Domain Model Creation Using Pattern-Based Fact Extraction
This paper describes a minimally guided approach to automatic domain model creation. The first step is to carve an area of interest out of the Wikipedia hierarchy based on a simple query or other starting point. The second step is to connect the concepts in this domain hierarchy with named relationships. A starting point is provided by Linked Open Data, such as DBPedia. Based on these community...
متن کاملFEVER: a large-scale dataset for Fact Extraction and VERification
Unlike other tasks and despite recent interest, research in textual claim verification has been hindered by the lack of large-scale manually annotated datasets. In this paper we introduce a new publicly available dataset for verification against textual sources, FEVER: Fact Extraction and VERification. It consists of 185,445 claims generated by altering sentences extracted from Wikipedia and su...
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ژورنال
عنوان ژورنال: Electronic Notes in Theoretical Computer Science
سال: 2004
ISSN: 1571-0661
DOI: 10.1016/j.entcs.2004.01.001