We aim to shed light on the state-of-the-art in NP coreference resolution by teasing apart the differences in the MUC and ACE task deﬁnitions, the assumptions made in evaluation methodologies, and inherent differences in text corpora. First, we examine three subproblems that play a role in coreference resolution: named entity recognition, anaphoricity determination, and coreference element detection.
Semantic parsing is the task of mapping natural language sentences into complete formal meaning representations which a computer can execute for some domain-speciﬁc application. This is a challenging task and is critical for developing computing systems that can understand and process natural language input, for example, a computing system that answers natural language queries about a database, or a robot that takes commands in natural language.
In recent years, machine learning (ML) has been used more and more to solve complex tasks in different disciplines, ranging from Data Mining to Information Retrieval or Natural Language Processing (NLP). These tasks often require the processing of structured input, e.g., the ability to extract salient features from syntactic/semantic structures is critical to many NLP systems. Mapping such structured data into explicit feature vectors for ML algorithms requires large expertise, intuition and deep knowledge about the target linguistic phenomena.
The identiﬁcation of different nominal phrases in a discourse as used to refer to the same (discourse) entity is essential for achieving robust natural language understanding (NLU). The importance of this task is directly ampliﬁed by the ﬁeld of Natural Language Processing (NLP) currently moving towards high-level linguistic tasks requiring NLU capabilities such as e.g. recognizing textual entailment. This tutorial aims at providing the NLP community with a gentle introduction to the task of coreference resolution from both a theoretical and an application-oriented perspective. ...
1 Some Problematic Issues in the Thai Processing
It is obvious that the most fundamental semantic unit in a language is the word. Words are explicitly identified in those languages with word boundaries. In Thai, there is no word boundary. Thai words are implicitly recognized and in many cases, they depend on the individual judgement. This causes a lot of difficulties in the Thai language processing.
Human Language Technologies (HLT) need dictionaries, to tell them what words mean and how they behave. People making dictionaries (lexicographers) need HLT, to help them identify how words behave so they can make better dictionaries. Thus a potential for synergy exists across the range of lexical data - in the construction of headword lists, for spelling correction, phonetics, morphology and syntax, but nowhere more than for semantics, and in particular the vexed question of how a word's meaning should be analysed into distinct senses. ...
Interest in using artificial neural networks (ANNs) for forecasting has led to a tremendous surge in research activities in
the past decade. While ANNs provide a great deal of promise, they also embody much uncertainty. Researchers to date are
still not certain about the effect of key factors on forecasting performance of ANNs. This paper presents a state-of-the-art
survey of ANN applications in forecasting.
This book provides an excellent overview on state-of-the-art of modern organocatalysis. It presents the contributions from leading experts, with backgrounds in academia and industry, to an Ernst Schering Research Foundation Symposium held in April 2007. It will be of interest to those who want a general overview of the topic, but also to those who want to learn more about the state-of-the-art, current trends and perspectives in this highly dynamic field of research.
The purpose of this state of the art review is to assess what is currently assumed and believed about
the relationship of skills development to poverty reduction, and to place that in historical perspective.
There will be a particular attempt, where possible, to examine what is known about skills in rural
areas. This task is made more complex by the fact that both ‘skills development’ and ‘poverty
reduction’ are neologisms; they have not been in common parlance for much more than a decade.
Biometric recognition is one of the most widely studied problems in computer science. The use of biometrics techniques, such as face, fingerprints, iris and ears is a solution for obtaining a secure personal identification. However, the â€œoldâ€ biometrics identification techniques are out of date. This goal of this book is to provide the reader with the most up to date research performed in biometric recognition and descript some novel methods of biometrics, emphasis on the state of the art skills....
The publication of the Cooley-Tukey fast Fourier transform (FFT) algorithm in 1965 has opened a new area in digital signal processing by reducing the order of complexity of some crucial computational tasks like Fourier transform and convultion from N 2 to N log 2 , where N is the problem size. The development of the major algorithms (Cooley-Tukey and split-radix FFT, prime factor algorithm and Winograd fast Fourier transform) is reviewed. Then, an attempt is made to indicate the state of the art on the subject, showin the standing of researh, open problems and implementations....
The book deals with the MOS Field Effect Transistor (MOSFET) models that are derived from basic semiconductor theory. Various models are developed, ranging from simple to more sophisticated models that take into account new physical effects observed in submicron transistors used in today's (1993) MOS VLSI technology. The assumptions used to arrive at the models are emphasized so that the accuracy of the models in describing the device characteristics are clearly understood. Due to the importance of designing reliable circuits, device reliability models are also covered.
Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: State of the Art: Why do the lungs of patients with cystic fibrosis become infected and why can't they clear the infection
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Signal Processing in High-End Hearing Aids: State of the Art, Challenges, and Future Trends
State-of-the-Art Antenna Technology: The 2008 Antenna Applications Symposium
From: Vol. 52 | No. 1 | January 2009 | Page 24 by Daniel Schaubert, University of Massachusetts; Jennifer Bernhard, University of Illinois; Robert Mailloux, US Air Force Research Laboratory; W. Devereux Palmer, US Army Research Office The Antenna Applications Symposium and its predecessor, the Air Force Antenna Symposium, have for more than 50 years provided a unique forum for exchange of ideas and information about the practical aspects of antenna design, development and use in systems....
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Biomechanical energy harvesting from human motion: theory, state of the art, design guidelines, and future directions
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Biomechanical energy harvesting from human motion: theory, state of the art, design guidelines, and future directions