Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
With the advent of communication media, a large upheaval in the volume of text messages has been observed in recent years. Messages are exchanged by mobile phone users to facilitate the speedy exchange of information. However, some messages are not solicited in every situation. Delivery of irrelevant/spam messages in a particular scenario often leads to the frustration of users. Also, it is of utmost...
In many web applications, users query a place name, a photo name, and other entity names using search words that include alternate spellings, abbreviations, and variants that are similar, but not identical to the title associated with the desired entity. Given two titles, an effective similarity measure should be able to determine whether the titles represent the same entity or not. In this paper,...
Presentation slides have always been the most effective tool to express a topic or theme. To present a particular topic, there is necessity for an individual to appropriately identify the relevant and important aspects that contribute to the related theme or topic. At present the tools for PowerPoint presentation generator like MSOffice, OpenOffice etc. carry out the task of generation of presentation...
Clinical Decision Support Systems (CDS) are built to make biomedical literature efficiently accessible to clinicians. The typical queries submitted to these systems are medical cases which describe various aspects of a patient health including symptoms, lab tests, and previous treatments. Because these queries are expected to be long and may contain some ambiguous words, performing some reformulation...
The K-12 learning space is evolving in both the United States and internationally. Students are given increasingly frequent access to the internet through various platforms such as desktop computers, laptops, tablets, and other mobile devices. Some schools are distributing mobile devices to students in order to facilitate the integration of technology in the classroom. These devices have a web filter...
The orientation is occupying an increasingly important role in the process of determining the future of the students, which leads to the obligation to make it automatic and accessible, both in terms of immediate accessibility throughout the world or in the offering of several languages that correspond to the language used by the majority of students or persons in need of guidance. These problems can...
The advancement in the world of internet has made information retrieval an easy task. Search engines provide users the information they need but not in specific form, instead floods the user with lots of documents/web pages that contain the information required by user. User waste their time to scan all documents in order to retrieve the needed information. Question Answering System reduces this drawback...
Nowadays information retrieval based on specific queries is already used in computer system. One of the popular methods is document ranking using Vector Space Model (SVM) based on TF.IDF term-weighting. In this paper TF.IDF.ICSδF term-weighting based class-indexing is proposed, afterward comparing its effectiveness to TF.IDF and TF.IDF.ICF term weighting. Each method is investigated through Al-Qur'an...
The evolution of the Internet and the number of users require the establishment of more sophisticated and efficient systems that must keep track of the entourage. This development requires the establishment of fast and sharp and specialized IRS, to answer a very specific need. In response, these systems carry out several steps, including the enrichment or reformulation of queries. The enrichment of...
Community question answering (CQA) has become an increasingly popular research topic. In this paper, we focus on the problem of question retrieval. Question retrieval in CQA can automatically find the most relevant and recent questions that have been solved by other users. However, the word ambiguity and word mismatch problems bring about new challenges for question retrieval in CQA. State-of-the-art...
Word Sense Disambiguation (WSD) is the task of automatically choosing the correct meaning of a word in a context. Due to the importance of this task, it is considered as one of the most important and challenging problems in the field of computational linguistics and plays a crucial role in various natural language processing (NLP) applications. In this paper, we present an improved version of a recent...
Named entity recognition is one of the important topics in the research area of natural language processing. Named entity recognition studies conducted on Turkish texts are quite limited, compared to the studies on other languages. Besides, the lack of common data sets makes the comparison of different approaches harder. In this study, a dataset comprising news articles in Turkish annotated with named...
Resourceful interaction is proposed as a paradigm in which humans and computers mutually make available resources to deliver unprecedented performance, engagement and overall user experience in discovering information. Examples are reported from novel user interfaces for discovering information that exemplify Resourceful Interaction: an interactive model of intent represented by keywords used to direct...
Demand for Question Answering systems is increasing day by day since they deliver short, precise and question specific answers. Huge amount of redundant data from irrelevant documents through the World Wide Web has given rise to an Information Technology (IT) Question Answering system to be used by secondary students. The main aim of developing such a system is to allow students obtain concise and...
In this work, we have created a semantic similarity calculation system between text documents to contribute to their semantic clustering. Indeed, semantic clustering of documents is a promising field of research, since it guarantees a quick and targeted access to information. The aim of document clustering is to put together similar documents. We used the algebraic model VSM (Vector Space Model) [2]...
Documents usually contain temporal expressions such as ‘morning’ and ‘yesterday’, and they also often contain spatial expressions such as ‘house’ and ‘the South Pole’. Extracting temporal information or spatial information from the documents is important because such information can be useful for various applications. Although there have been many studies aiming at extracting temporal information...
The World Wide Web has grown up rapidly and beyond doubt, majority of it contains useful information. But a portion of the web has a junk data and its presence cannot be ignored. Therefore, it becomes a challenging task to retrieval systems to provide useful information to the user. Also, choice of the query plays a crucial role in retrieving documents. In this paper, we propose a model that provides...
Today internet has become easily accessible which allows the user to perform multiple tasks such as access information, do study, make friends, online shopping, search for anything they want and many more. Similarly people do use internet to know the better options and find out relevant alternatives of product, services, places like wise. But searching for better choices may become frustrating and...
Lemmatizer and stemmer are the two basic modules in most of the natural language processing applications. Stemming is the process of stripping off the affixes that are present in the inflectional word to obtain stem. The extracted stem by the stemmer need not be a valid root or linguistically meaningful word. Lemmatizer removes the affixes that are present in the inflectional word by applying linguistic...
This paper presents a text retrieval method based on vector space feature conversion. Even though knowledge-based semantic fingerprint information and semantic information obtained by the Tag-LDA topic model are two different representations of semantic features of the same text, they are incompatible with semantic information. Here we introduce the vector space as a bridge to transfer knowledge-based...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.