An ontology-based approach to parsing Turkish sentences

The main problem with natural language analysis is the ambiguity found in various levels of linguistic information. Syntactic analysis with word senses is frequently not enough to resolve all ambiguities found in a sentence. Although natural languages are highly connected to the real world knowledge, most of the parsing architectures do not make use of it effectively In this paper, a new methodology is proposed for analyzing Turkish sentences which is heavily based on the constraints in the ontology. The methodology also makes use of morphological marks of Turkish which generally denote semantic properties. Analysis aims to find the propositional structure of the input utterance without constructing a deep syntactic tree, instead it utilizes a weak interaction between syntax and semantics. The architecture constructs a specific meaning representation on top of the analyzed propositional structure. © Springer-Verlag Berlin Heidelberg 1998

Natural language processing

Beginning with the basic issues of NLP, this chapter aims to chart the major research activities in this area since the last ARIST Chapter in 1996 (Haas, 1996), including: (i) natural language text processing systems - text summarization, information extraction, information retrieval, etc., including domain-specific applications; (ii) natural language interfaces; (iii) NLP in the context of www and digital libraries ; and (iv) evaluation of NLP systems

Otistik Ve Zihinsel Engelli Çocuklar İçin Doğal Dil İşleme Tabanlı Bir Yardım Aracı: Bir Başlangıç Çalışması

DergiPark: 245928trakyafbdEngelli çocukların, eğitim ve gelişim olanaklarına mümkün olduğunca kolay ve etkin bir biçimde erişebilmesinin sağlanması, toplum için hem yasal hem de vicdani bir sorumluluktur. Yardımcı teknolojiler, engelli çocukların eğitim faaliyetlerine tam ve yeterli biçimde katılabilmesi için büyük olanaklar sunarlar. Bu makale, otistik ve zihinsel engelli çocukların eğitim ve öğretimine yardımcı olmak için geliştirilen bir yazılım aracını sunmaktadır. Bu araç ile engelli çocukların ifadeler ve onlara karşılık gelen kavramlar arasında resimler aracılığıyla bağlantı kurmalarına yardımcı olmak amaçlanmaktadır. Kullanıcının sistemle olan etkileşiminin doğal dil ifadeleriyle kurulmasını sağlamanın, iletişimi kısıtlanmış anahtar kelimelerle sınırlandırmaktan daha etkin olduğu gerçeğini dikkate alarak aracımızı bir Doğal Dil İşleme (DDİ) modülü ile donattık. Bu modül aracın omurgası olarak görev yapmakta ve doğal dil ifadelerini birleşme tabanlı (unification-based) bir dilbilgisi kullanarak anlamsal çerçeveler şeklinde çözümlemektedir. Giriş ifadeleri, ilgili resimlerle anlamsal çerçeveler aracılığıyla eşleştirilmektedir. Bu anlamsal çerçeveler, resimleri biçimsel bakımdan değil, içerikleri açısından temsil ettiği için, sistem esnek bir şekilde çalışabilmektedir.It is both a legal and conscientious responsibility of the society to enable children with disabilities to have access to and receive education and training as easily and effectively as possible. Assistive technology offers great opportunities for disabled students to participate in educational activities fully and adequately. This paper presents a software tool developed to assist the education and training of autistic and mentally retarded children. The tool is intended to help the disabled child establish the bridge between expressions and the concepts they refer to via relevant images. Taking into consideration the fact that enabling the user to interact with the system using natural language expressions will be much more effective compared to a system constraining the communication to a limited set of isolated keywords, the tool has been equipped with a Natural Language Processing (NLP) module. This module functions as the backbone of the tool. It analyzes natural language expressions into semantic frames using a unification-based grammar. Input expressions are mapped onto relevant images via the mediation of semantic frames. As these semantics frames represent the content of images, rather than their formal aspects, the system is able to operate on a flexible basis

Multiword expressions at length and in depth

The annual workshop on multiword expressions takes place since 2001 in conjunction with major computational linguistics conferences and attracts the attention of an ever-growing community working on a variety of languages, linguistic phenomena and related computational processing issues. MWE 2017 took place in Valencia, Spain, and represented a vibrant panorama of the current research landscape on the computational treatment of multiword expressions, featuring many high-quality submissions. Furthermore, MWE 2017 included the first shared task on multilingual identification of verbal multiword expressions. The shared task, with extended communal work, has developed important multilingual resources and mobilised several research groups in computational linguistics worldwide. This book contains extended versions of selected papers from the workshop. Authors worked hard to include detailed explanations, broader and deeper analyses, and new exciting results, which were thoroughly reviewed by an internationally renowned committee. We hope that this distinctly joint effort will provide a meaningful and useful snapshot of the multilingual state of the art in multiword expressions modelling and processing, and will be a point point of reference for future work

Design and evaluation of an ontology based information extraction system for radiological reports

Cataloged from PDF version of article.This paper describes an information extraction system that extracts and converts the available information in free text Turkish radiology reports into a structured information model using manually created extraction rules and domain ontology. The ontology provides flexibility in the design of extraction rules, and determines the information model for the extracted semantic information. Although our information extraction system mainly concentrates on abdominal radiology reports, the system can be used in another field of medicine by adapting its ontology and extraction rule set. We achieved very high precision and recall results during the evaluation of the developed system with unseen radiology reports. (C) 2010 Elsevier Ltd. All rights reserved

Ontology Driven Knowledge Extraction System with Application in e-Government

Important sources of information are originally created in natural language. To make that knowledge computer processable it is necessary to understand the structure of natural languages, by adding lexical and syntactic information; to have a rich representation to encode the knowledge of sentences, like ontologies; and to develop algorithms to bridge the gap between natural languages and computer processable representations. In this paper we present the architecture, modules and results of a prototype that uses an ontology to represent the world concepts and their relationships, and also to guide the process of extracting information from natural language documents. The system was tested using minutes of Portuguese municipalities’ meetings. Initial results are presented for three topics of municipalities' affairs: the subsidies granted, the building permits requested, and the existing protocols with other institutions

Automatically generated NE tagged corpora for English and Hungarian

Supervised Named Entity Recognizers require large amounts of annotated text. Since manual annotation is a highly costly procedure, reducing the annotation cost is essential. We present a fully automatic method to build NE annotated corpora from Wikipedia. In contrast to recent work, we apply a new method, which maps the DBpedia classes into CoNLL NE types. Since our method is mainly language-independent, we used it to generate corpora for English and Hungarian. The corpora are freely available