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Register a new userDevelopment of an Enterprise-Grade Contract Understanding System
تطوير نظام فهم عقد المشاريع
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يمكن القول أن العقود أهم نوع من وثائق الأعمال.على الرغم من أهميتها في الأعمال التجارية، لا تزال مراجعة العقود القانونية إلى حد كبير عملية شاقة ومكلفة ويدوية.في هذه الورقة، نصف Tecus: نظام تجاري مصمم ونشره مقابل فهم العقد ويستخدمه مجموعة واسعة من مستخدمي المؤسسات خلال السنوات القليلة الماضية.نحن نفكر في التحديات واتخاذ القرارات عند بناء Tecus.نحن أيضا تلخص دورة حياة علوم البيانات من Tecus و Share الدروس المستفادة.
Contracts are arguably the most important type of business documents. Despite their significance in business, legal contract review largely remains an arduous, expensive and manual process. In this paper, we describe TECUS: a commercial system designed and deployed for contract understanding and used by a wide range of enterprise users for the past few years. We reflect on the challenges and design decisions when building TECUS. We also summarize the data science life cycle of TECUS and share lessons learned.
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https://aclanthology.org/
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Spoken language understanding (SLU) extracts the intended mean- ing from a user utterance and is a critical component of conversational virtual agents. In enterprise virtual agents (EVAs), language understanding is substantially challenging. First, t
he users are infrequent callers who are unfamiliar with the expectations of a pre-designed conversation flow. Second, the users are paying customers of an enterprise who demand a reliable, consistent and efficient user experience when resolving their issues. In this work, we describe a general and robust framework for intent and entity extraction utilizing a hybrid of statistical and rule-based approaches. Our framework includes confidence modeling that incorporates information from all components in the SLU pipeline, a critical addition for EVAs to en- sure accuracy. Our focus is on creating accurate and scalable SLU that can be deployed rapidly for a large class of EVA applications with little need for human intervention.
In this research, we try to prove the later view which considers
that a professional player's contract is a work contract. This can be
easily inferred by comparing the elements of a work contract with those
of a professional player's contract. However, it is a work contract of a
special nature, some aspects of its uniqeness are due to the professional
player himself, while some others are due to the nature of the contract itself.
In this paper, it has
merged two techniques of the artificial intelligent, they are the
ants colony optimization algorithm and the genetic algorithm, to
The recurrent reinforcement learning trading system
optimization. The proposed trading system
is based on an ant
colony optimization algorithm and the genetic algorithm to
select an optimal group of technical indicators, and fundamental
indicators.
Syrian Legislator and UNCETRAL rules, have declared that
electronic offer authoritative, and gives the electronic offer as
authentic as traditional offer, and have the same legal effects.
Issues relating to the will in contracts usually cause a lot of
difficulty. This is because will is clearly related to the mental
and personal elements. Difficulties arise in defining the concept
on the first hand, and in proving it on the other.
Hence, the
issue of intention to donate, which forms the mental element of
the Grant Contract.
This study attempts to simplify this difficulty by discussing the
function of the intention to donate in Grant Contract.
The function of intention to donate in Grant Contracts is
twofold: formative and normative. By formative is meant the
role of intention to donate in the formation and creation of the
Grant Contract as seen in the elements of the contract.
Normative refers to the role of intention to donate in
distinguishing the Grant Contract from other legal actions,
which might overlap with it in some actual cases.
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