Link detection has been regarded as a core technology for the Topic Detection and Tracking tasks of new event detection. In this paper we formulate story link detection and new event detection as information retrieval task and hypothesize on the impact of precision and recall on both systems. Motivated by these arguments, we introduce a number of new performance enhancing techniques including part of speech tagging, new similarity measures and expanded stop lists. Experimental results validate our hypothesis. ...
Declaring an Event You declare an event in a class intended to act as an event source. An event source is usually a class that monitors its environment, and raises an event when something significant happens.
Rehearsal hiểu một cách nôm na là chạy thử hay diễn tập trước sự kiện trước khi sự kiện khi diễn ra chính thức. Một Event được tổ chức chuyên nghiệp luôn được tổ chức rehearsal kỹ càng, chu đáo giúp Event diễn ra suôn sẻ hơn vì các trục trặc đã được giảm thiểu sau lần chạy thử.
Discover how your community can become a reliable support network, a valuable source of new ideas, and a powerful marketing force. This expanded edition shows you how to keep community projects on track, make use of social media, and organize collaborative events. Interviews with 12 community management leaders, including Linus Torvalds, Tim O’Reilly, and Mike Shinoda, provide useful insights.
Tạo sự kiện mới Monitor Đối với Khóa
Tạo sự kiện khóa màn hình và theo dõi tuổi vô hiệu hóa
• Deactivate & Drop DB2DETAILDEADLOCK theo dõi sự kiện
SET SỰ KIỆN MONITOR DB2DETAILDEADLOCK bang 0 DROP SỰ KIỆN MONITOR DB2DETAILDEADLOCK
• Tạo sự kiện theo dõi, sản lượng trực tiếp tới bảng / tablespace
TẠO SỰ KIỆN MONITOR lockevmon để khóa - các loại khóa VIẾT CHO TẤT CẢ SỰ KIỆN chưa định dạng TABLE - NEW LOẠI BẢNG phải định dạng (MYLOCKS BẢNG IN TS32K PCTDEACTIVATE 75) - EVM deactivates...
technologies for defense systems, and an enthusiastic Android developer. He has several Android applications in Google Play. He is a Sun Certified Java Developer and has eight years of experience in developing web-based applications using Java technologies, desktop, and engineering applications using .NET technologies. He earned his BSc degree in Computer Engineering from METU (Middle East Technical University) and his MSc degree in Software Engineering from METU. He is a member of GDG Ankara (Google Developer Group Ankara, www.gdgankara. org).
Existing sensor network architectures are based on the as-
sumption that data will be polled. Therefore, they are not
adequate for long-term battery-powered use in applications
that must sense or react to events that occur at unpre-
This article outlines the basic parameters and current status of the Integrated Data for Event Analysis
(IDEA) project. IDEA provides a comprehensive events framework for the analysis of international
interactions by supplementing the event forms from all earlier projects with new event forms needed
to monitor contemporary trends in civil and interstate politics.
This volume of stories, composed of historical incidents, or material connected with the history of New Jersey, is not intended to be a record, even in a condensed form, of the rise and progress of the State. The stories are arranged chronologically, but there has been no attempt to give a complete and continuous account of events or epochs. The material for the stories has been collected from many sources; and the selections have been made with regard to the interest, the instructiveness, and as far as possible the novelty, of the matter chosen. There has been a constant...
High-density lipoprotein (HDL) cholesterol levels are a strong inverse predictor of
cardiovascular events. However, it is not clear whether this association is maintained
at very low levels of low-density lipoprotein (LDL) cholesterol.
A post hoc analysis of the recently completed Treating to New Targets (TNT) study
assessed the predictive value of HDL cholesterol levels in 9770 patients.
With the release of Java 7, numerous new features have been added that significantly improve
the developer's ability to create and maintain Java applications. These include language
improvements, such as better exception handling techniques, and additions to the Java core
libraries, such as new threading mechanisms.
This cookbook covers these new features using a series of recipes. Each recipe addresses
one or more new features and provides a template for using these features. This should make
it easier to understand the features along with when and how they can be used.
Event extraction is the task of detecting certain specified types of events that are mentioned in the source language data. The state-of-the-art research on the task is transductive inference (e.g. cross-event inference). In this paper, we propose a new method of event extraction by well using cross-entity inference. In contrast to previous inference methods, we regard entitytype consistency as key feature to predict event mentions. We adopt this inference method to improve the traditional sentence-level event extraction system. ...
The events recounted in this book group themselves in the main about a single figure, that of Count
Frontenac, the most remarkable man who ever represented the crown of France in the New World. From
strangely unpromising beginnings, he grew with every emergency, and rose equal to every crisis. His whole
career was one of conflict, sometimes petty and personal, sometimes of momentous consequence, involving
the question of national ascendancy on this continent. Now that this question is put at rest for ever, it is hard to
conceive, the anxiety which it wakened in our forefathers.
This paper describes a fully automatic twostage machine learning architecture that learns temporal relations between pairs of events. The ﬁrst stage learns the temporal attributes of single event descriptions, such as tense, grammatical aspect, and aspectual class. These imperfect guesses, combined with other linguistic features, are then used in a second stage to classify the temporal relationship between two events. We present both an analysis of our new features and results on the TimeBank Corpus that is 3% higher than previous work that used perfect human tagged features. ...
Most event extraction systems are trained with supervised learning and rely on a collection of annotated documents. Due to the domain-speciﬁcity of this task, event extraction systems must be retrained with new annotated data for each domain. In this paper, we propose a bootstrapping solution for event role ﬁller extraction that requires minimal human supervision.
In this paper, we describe a new approach to semi-supervised adaptive learning of event extraction from text. Given a set of examples and an un-annotated text corpus, the BEAR system (Bootstrapping Events And Relations) will automatically learn how to recognize and understand descriptions of complex semantic relationships in text, such as events involving multiple entities and their roles. For example, given a series of descriptions of bombing and shooting incidents (e.g.
In this paper, we extend current state-of-theart research on unsupervised acquisition of scripts, that is, stereotypical and frequently observed sequences of events. We design, evaluate and compare different methods for constructing models for script event prediction: given a partial chain of events in a script, predict other events that are likely to belong to the script.
This paper examines how a new class of nonparametric Bayesian models can be effectively applied to an open-domain event coreference task. Designed with the purpose of clustering complex linguistic objects, these models consider a potentially inﬁnite number of features and categorical outcomes. The evaluation performed for solving both within- and cross-document event coreference shows signiﬁcant improvements of the models when compared against two baselines for this task.
All the code examples in this book are coded as Java applets so that they
can be used with Java-enabled Web browsers and published on the Web. At
the time of this writing, the current release of Java is release 1.1.5 with
version 1.2 just appearing as a developer release. Java versions 1.1 and later
add many new features, such as a completely new event model, but many
Web browsers have yet to fully incorporate these new features. Therefore,
the applets in this book are coded to be compatible with the earlier Java
1.0.2 standard so that they work with the widest variety of web browser....