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In this paper, we develop a neural summarization model which can effectively process multiple input documents and distill Transformer architecture with the ability to encode documents in a hierarchical manner. We represent cross-document…

Computation and Language · Computer Science 2019-05-31 Yang Liu , Mirella Lapata

One of the limitations of large language models is that they do not have access to up-to-date, proprietary or personal data. As a result, there are multiple efforts to extend language models with techniques for accessing external data. In…

Computation and Language · Computer Science 2023-04-11 Alon Halevy , Jane Dwivedi-Yu

In recent past every discipline and every industry have their own methods of developing products. It may be software development, mechanics, construction, psychology and so on. These demarcations work fine as long as the requirements are…

Software Engineering · Computer Science 2012-01-11 Ch Ram Mohan Reddy , D. Evangelin Geetha , K. G. Srinivasa , T. V. Suresh Kumar , K. Rajani Kanth

Data quality assessment and data cleaning are context-dependent activities. Motivated by this observation, we propose the Ontological Multidimensional Data Model (OMD model), which can be used to model and represent contexts as logic-based…

Databases · Computer Science 2017-08-15 Leopoldo Bertossi , Mostafa Milani

Large language models (LLMs) are capable of producing high quality information at unprecedented rates. As these models continue to entrench themselves in society, the content they produce will become increasingly pervasive in databases that…

Artificial Intelligence · Computer Science 2024-06-19 Hayden Helm , Brandon Duderstadt , Youngser Park , Carey E. Priebe

The requirements engineering (RE) phase is pivotal in developing high-quality software. Integrating advanced modelling techniques with large language models (LLMs) and formal verification in a logical style can significantly enhance this…

Software Engineering · Computer Science 2025-06-11 Radoslaw Klimek

Schema and data integration have been a challenge for more than 40 years. While data warehouse technologies are quite a success story, there is still a lack of information integration methods, especially if the data sources are based on…

Databases · Computer Science 2021-07-21 Fritz Laux , Malcolm Crowe

The Web community has introduced a set of standards and technologies for representing, querying, and manipulating a globally distributed data structure known as the Web of Data. The proponents of the Web of Data envision much of the world's…

Artificial Intelligence · Computer Science 2009-08-05 Marko A. Rodriguez

Big data management aims to establish data hubs that support data in multiple models and types in an all-around way. Thus, the multi-model database system is a promising architecture for building such a multi-model data store. For an…

Databases · Computer Science 2021-05-18 Yu Yan , Nan Jiang , Hongzhi Wang , Yutong Wang , Chang Liu , Yuzhuo Wang

This paper presents a high-quality multilingual dataset for the documentation domain to advance research on localization of structured text. Unlike widely-used datasets for translation of plain text, we collect XML-structured parallel text…

Computation and Language · Computer Science 2020-06-25 Kazuma Hashimoto , Raffaella Buschiazzo , James Bradbury , Teresa Marshall , Richard Socher , Caiming Xiong

Distributed software engineering is widely recognized as a complex task. Among the inherent complexities is the process of obtaining a system design from its global requirement specification. This paper deals with such transformation…

Software Engineering · Computer Science 2012-02-09 Ahmed Harbouche , Mohammed Erradi , Aicha Mokhtari

Embedding is a common technique for analyzing multi-dimensional data. However, the embedding projection cannot always form significant and interpretable visual structures that foreshadow underlying data patterns. We propose an approach that…

Human-Computer Interaction · Computer Science 2022-09-26 Jie Li , Chun-qi Zhou

Web log data is usually diverse and voluminous. This data must be assembled into a consistent, integrated and comprehensive view, in order to be used for pattern discovery. Without properly cleaning, transforming and structuring the data…

Databases · Computer Science 2011-04-13 C. Ramya , K S Shreedhara , G Kavitha

Several recently devised machine learning (ML) algorithms have shown improved accuracy for various predictive problems. Model searches, which explore to find an optimal ML algorithm and hyperparameter values for the target problem, play a…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-08-28 Yoshiki Takahashi , Masato Asahara , Kazuyuki Shudo

The aim of this paper is to develop a model to ensure data stored in the cloud. Model based on situations that arise in a business environment. The model also includes individual participants and their data operations. Implementation of the…

Cryptography and Security · Computer Science 2013-07-16 Zuzana Priscakova , Ivana Rabova

In today's world of Web application development, programmers are commonly called upon to use the Hypertext Markup Language (HTML) as a programming language, something for which it was never intended and for which it is woefully inadequate.…

Software Engineering · Computer Science 2014-05-13 John Francisco , Victor Sadikov

In this paper we show by using the example of UML, how a software engineering method can benefit from an integrative mathematical foundation. The mathematical foundation is given by a mathematical system model. This model provides the basis…

Software Engineering · Computer Science 2014-12-09 Ruth Breu , Radu Grosu , Franz Huber , Bernhard Rumpe , Wolfgang Schwerin

XML has emerged as the leading language for representing and exchanging data not only on the Web, but also in general in the enterprise. XQuery is emerging as the standard query language for XML. Thus, tools are required to mediate between…

Databases · Computer Science 2008-12-18 Tuyet-Tram Dang-Ngoc , Georges Gardarin

In this paper, I outline several conceptual and methodological issues related to modeling individual and group processes embedded in clustered/hierarchical data structures. We position multilevel modeling techniques within a broader set of…

Methodology · Statistics 2022-12-29 Amira Ibrahim El-Desokey