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A Methodology for Valuing Tiered Entities

Journal of Business Valuation and Economic Loss Analysis, 2006
The conventional approach to valuing limited partnerships is the net asset value method; however, when used to value interests in tiered entities, this approach can produce outlandish returns. The model failure occurs when its underlying assumptions are violated, and/or when the hypothetical buyer's expectations and the facts and circumstances of the ...
Dennis A Webb, Lari B Masten
openaire   +1 more source

Name Entity Recognition with Policy-Value Networks

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
In this paper we propose a novel reinforcement learning based model for named entity recognition (NER), referred to as MM-NER. Inspired by the methodology of the AlphaGo Zero, MM-NER formalizes the problem of named entity recognition with a Monte-Carlo tree search (MCTS) enhanced Markov decision process (MDP) model, in which the time steps correspond ...
Yadi Lao   +4 more
openaire   +2 more sources

DTOs, Entities, and Value Objects

2020
In the previous chapter, we examined DDD’s idea of context maps and why they are a good thing to distribute via the bounded contexts in your architecture, and why it is good to have as few cross-dependencies between the contexts as possible. The fewer dependencies each BC has to all others, the better off we are and the more independent our BCs (and ...
openaire   +1 more source

Navigation quality as a key value for the webpage of a financial entity

Online Information Review, 2008
PurposeThe objective of this study is to measure the navigation quality of the corporate webpages of the principal European financial entities, given the vital importance of the accessibility of online content for the successful execution of their operational activities.Design/methodology/approachThe web quality model proposes a structure that allows ...
Enrique Bonson-Ponte   +2 more
openaire   +1 more source

Multilingual Entity, Relation, Event and Human Value Extraction

Proceedings of the 2019 Conference of the North, 2019
This paper demonstrates a state-of-the-art end-to-end multilingual (English, Russian, and Ukrainian) knowledge extraction system that can perform entity discovery and linking, relation extraction, event extraction, and coreference. It extracts and aggregates knowledge elements across multiple languages and documents as well as provides visualizations ...
Manling Li   +6 more
openaire   +2 more sources

An Alignment Comparator for Entity Resolution with Multi-valued Attributes

2014
Entity matching is a problem that concerns many data management processes. If we consider matching between entities represented by RDF individuals we might find attributes values lists with variable-length for some properties, which will lead us to the problem of comparing multi-valued attributes, e.g.
Mazzucchi-Augel, Pablo N   +1 more
openaire   +3 more sources

The value of the Legal Entity Identifier for the payments industry

Journal of Payments Strategy & Systems, 2019
In November 2011, the G20 initiated the Legal Entity Identifier (LEI) programme for the development of a global system to uniquely identify parties engaged in financial transactions. Since then, over 1.4 million legal entities in over 200 jurisdictions have registered for an LEI.
Victoria Cleland, Gerard Hartsink
openaire   +1 more source

Extending the Entity-Attribute-Value Model

2011
In a previous chapter, I introduced the use of the Entity-Attribute-Value model for representing highly variable clinical data. EAV is appropriate for clinical data because the universe of clinical attributes that can apply to a patient are both numerous and sparse. I emphasized that the use of the EAV model is unworkable in the absence of a supporting
openaire   +1 more source

Pivoting approaches for bulk extraction of Entity–Attribute–Value data

Computer Methods and Programs in Biomedicine, 2006
Entity-Attribute-Value (EAV) data, as present in repositories of clinical patient data, must be transformed (pivoted) into one-column-per-parameter format before it can be used by a variety of analytical programs. Pivoting approaches have not been described in depth in the literature, and existing descriptions are dated. We describe and benchmark three
Valentin Dinu   +2 more
openaire   +3 more sources

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