Related papers: Unlocking New York City Crime Insights using Relat…

This paper is withdrawn due to some errors, which are corrected in arXiv:0912.0071v4 [cs.LG].

Knowledge-based question answering relies on the availability of facts, the majority of which cannot be found in structured sources (e.g. Wikipedia info-boxes, Wikidata). One of the major components of extracting facts from unstructured…

arXiv admin note: This submission has been withdrawn by arXiv administrators due to unprofessional personal attack.

Relation extraction is a Natural Language Processing task that aims to extract relationships from textual data. It is a critical step for information extraction. Due to its wide-scale applicability, research in relation extraction has…

This paper was withdrawn by arXiv admins because of inappropriate and unverifiable claims of appropriation.

Withdrawn by arXiv administration because authors have forged affiliations and acknowledgements, and have not adequately responded to charges [hep-th/9912039] of unattributed use of verbatim material.

This paper has been withdrawn by the author because it needs a deep methodological revision.

This submission has been withdrawn by arXiv administrators because it contains excessive and unattributed reuse of content from other authors.

This paper has been withdrawn due to errors in the analysis of data with Carrier Access Rate control and statistical methodologies.

This paper has been withdrawn by the author, due to errors in the figures.

This paper has been withdrawn by the author. This paper is now obsolete. For a solution please see: arXiv:/1205.4265.

arXiv admin note: This submission has been removed by arXiv administrators due to unprofessional personal attack.

Relational facts are an important component of human knowledge, which are hidden in vast amounts of text. In order to extract these facts from text, people have been working on relation extraction (RE) for years. From early pattern matching…

This paper has been withdrawn by the authors as they feel it inappropriate to publish this paper for the time being.

In this paper, we present a method of crime analysis from open source information. We employed un-supervised methods of data mining to explore the facts regarding the crimes of an area of interest. The analysis is based on well known…

This submission has been withdrawn by arXiv administrators because it is incomplete and thus violates arXiv policy.

arXiv admin note: This version has been removed by arXiv administrators due to copyright infringement

We consider causal inference in the presence of unobserved confounding. We study the case where a proxy is available for the unobserved confounding in the form of a network connecting the units. For example, the link structure of a social…

Conventional closed-world information extraction (IE) approaches rely on human ontologies to define the scope for extraction. As a result, such approaches fall short when applied to new domains. This calls for systems that can automatically…

This submission was removed because it contained proprietary information that was distributed without permission.