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While conventional methods for sequential learning focus on interaction between consecutive inputs, we suggest a new method which captures composite semantic flows with variable-length dependencies. In addition, the semantic structures…

Machine Learning · Computer Science 2019-01-29 Kyoung-Woon On , Eun-Sol Kim , Yu-Jung Heo , Byoung-Tak Zhang

With the rapid growth of internet technologies, Web has become a huge repository of information and keeps growing exponentially under no editorial control. However the human capability to read, access and understand Web content remains…

Databases · Computer Science 2011-11-11 C. Ramesh , K. V. Chalapati Rao , A. Govardhan

The remastering of vintage film comprises of a diversity of sub-tasks including super-resolution, noise removal, and contrast enhancement which aim to restore the deteriorated film medium to its original state. Additionally, due to the…

Computer Vision and Pattern Recognition · Computer Science 2020-09-21 Satoshi Iizuka , Edgar Simo-Serra

We present DeepWalk, a novel approach for learning latent representations of vertices in a network. These latent representations encode social relations in a continuous vector space, which is easily exploited by statistical models. DeepWalk…

Social and Information Networks · Computer Science 2014-06-30 Bryan Perozzi , Rami Al-Rfou , Steven Skiena

Characterizing temporal dependence patterns is a critical step in understanding the statistical properties of sequential data. Long Range Dependence (LRD) --- referring to long-range correlations decaying as a power law rather than…

Machine Learning · Computer Science 2019-05-24 Francois Belletti , Minmin Chen , Ed H. Chi

Enterprise information systems have adopted Web-based foundations for exchanges between heterogeneous programmes. These programs provide and consume via Web APIs some resources identified by URIs, whose representations are transmitted via…

Artificial Intelligence · Computer Science 2020-07-28 Mathieu Lirzin , Béatrice Markhoff

The web is today's primary publication medium, making web archiving an important activity for historical and analytical purposes. Web pages are increasingly interactive, resulting in pages that are increasingly difficult to archive.…

Digital Libraries · Computer Science 2016-01-21 Justin F. Brunelle , Michele C. Weigle , Michael L. Nelson

Tag-based browsing is a popular interaction model for navigating digital libraries. According to this model, users select descriptive tags to filter resources in the collections. Typical implementations of the model are based on inverted…

Computation and Language · Computer Science 2025-01-28 Joaquín Gayoso-Cabada , Mercedes Gómez-Albarrán , José-Luis Sierra

In this chapter tools and techniques from the mathematical theory of formal concept analysis are applied to hypertext systems in general, and the World Wide Web in particular. Various processes for the conceptual structuring of hypertext…

Artificial Intelligence · Computer Science 2018-10-18 Robert E. Kent , Christian Neuss

In the contemporary context of rapid advancements in information technology and the exponential growth of data volume, language models are confronted with significant challenges in effectively navigating the dynamic and ever-evolving…

Information Retrieval · Computer Science 2025-01-14 Yuxin Fan , Yuxiang Wang , Lipeng Liu , Xirui Tang , Na Sun , Zidong Yu

Shared reference is an essential aspect of meaning. It is also indispensable for the semantic web, since it enables to weave the global graph, i.e., it allows different users to contribute to an identical referent. For example, an essential…

Artificial Intelligence · Computer Science 2012-06-28 Simon Scheider , Krzysztof Janowicz , Benjamin Adams

Reference is a crucial property of language that allows us to connect linguistic expressions to the world. Modeling it requires handling both continuous and discrete aspects of meaning. Data-driven models excel at the former, but struggle…

Computation and Language · Computer Science 2017-09-05 Gemma Boleda , Sebastian Padó , Nghia The Pham , Marco Baroni

Entity linking, the task of mapping textual mentions to known entities, has recently been tackled using contextualized neural networks. We address the question whether these results -- reported for large, high-quality datasets such as…

Computation and Language · Computer Science 2020-05-20 Nadja Kurz , Felix Hamann , Adrian Ulges

Several data source discovery methods take into account the semantic heterogeneity problems by using several Domain Ontologies (DOs). However, most of them impose a topology of mapping links between DOs. DOs and mapping links are available…

Databases · Computer Science 2025-02-06 Riad Mokadem

Web resources are increasingly interactive, resulting in resources that are increasingly difficult to archive. The archival difficulty is based on the use of client-side technologies (e.g., JavaScript) to change the client-side state of a…

Digital Libraries · Computer Science 2015-08-11 Justin F. Brunelle , Michele C. Weigle , Michael L. Nelson

With the tremendous growth in the number of scientific papers being published, searching for references while writing a scientific paper is a time-consuming process. A technique that could add a reference citation at the appropriate place…

Computation and Language · Computer Science 2019-03-18 Chanwoo Jeong , Sion Jang , Hyuna Shin , Eunjeong Park , Sungchul Choi

Event collections are frequently built by crawling the live web on the basis of seed URIs nominated by human experts. Focused web crawling is a technique where the crawler is guided by reference content pertaining to the event. Given the…

Digital Libraries · Computer Science 2018-04-06 Martin Klein , Lyudmila Balakireva , Herbert Van de Sompel

Hyperlinks constitute the backbone of the Web; they enable user navigation, information discovery, content ranking, and many other crucial services on the Internet. In particular, hyperlinks found within Wikipedia allow the readers to…

Computers and Society · Computer Science 2021-06-01 Martin Gerlach , Marshall Miller , Rita Ho , Kosta Harlan , Djellel Difallah

To retrieve more relevant, appropriate and useful documents given a query, finding clues about that query through the text is crucial. Recent deep learning models regard the task as a term-level matching problem, which seeks exact or…

Information Retrieval · Computer Science 2021-02-01 Yufeng Zhang , Jinghao Zhang , Zeyu Cui , Shu Wu , Liang Wang

Search engines allow providing the user with data information according to their interests and specialty. Thus, it is necessary to exploit descriptions of the resources, which take into consideration viewpoints. Generally, the resource…

Machine Learning · Computer Science 2021-09-29 Ouahiba Djama