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The present paper explores various arguments in favour of making the Text Encoding Initia-tive (TEI) guidelines an appropriate serialisation for ISO standard 24613:2008 (LMF, Lexi-cal Mark-up Framework) . It also identifies the issues that…

Computation and Language · Computer Science 2016-01-29 Laurent Romary

This paper provides an introduction to the Text Encoding Initia-tive (TEI), focused at bringing in newcomers who have to deal with a digital document project and are looking at the capacity that the TEI environment may have to fulfil his…

Digital Libraries · Computer Science 2009-01-26 Laurent Romary

This paper aims to provide a comprehensive modeling and representation of etymological data in digital dictionaries. The purpose is to integrate in one coherent framework both digital representations of legacy dictionaries, and also…

Computation and Language · Computer Science 2016-12-01 Jack Bowers , Laurent Romary

We examine the issue of digital formats for document encoding, archiving and publishing, through the specific example of "born-digital" scholarly journal articles. We will begin by looking at the traditional workflow of journal editing and…

Computation and Language · Computer Science 2010-10-13 Martin Holmes , Laurent Romary

In this chapter we present the main issues in representing machine readable dictionaries in XML, and in particular according to the Text Encoding Dictionary (TEI) guidelines.

Computation and Language · Computer Science 2009-12-16 Lothar Lemnitzer , Laurent Romary , Andreas Witt

New types of Trusted Execution Environment (TEE) architectures like TrustLite and Intel Software Guard Extensions (SGX) are emerging. They bring new features that can lead to innovative security and privacy solutions. But each new TEE…

Cryptography and Security · Computer Science 2015-07-01 Thomas Nyman , Brian McGillion , N. Asokan

Reasoning in a temporal knowledge graph (TKG) is a critical task for information retrieval and semantic search. It is particularly challenging when the TKG is updated frequently. The model has to adapt to changes in the TKG for efficient…

Artificial Intelligence · Computer Science 2021-05-11 Jiapeng Wu , Yishi Xu , Yingxue Zhang , Chen Ma , Mark Coates , Jackie Chi Kit Cheung

In this paper, we investigate offline reinforcement learning (RL) with the goal of training a single robust policy that generalizes effectively across environments with unseen dynamics. We propose a novel approach, Trajectory Encoding…

Machine Learning · Computer Science 2025-01-28 Batıkan Bora Ormancı , Phillip Swazinna , Steffen Udluft , Thomas A. Runkler

Inspired by recent work on compression with and for young humans, the success of transform-based approaches to information processing, and the rise of powerful language-based AI, we propose \emph{textual transform coding}. It shares some of…

Information Theory · Computer Science 2023-05-04 Tsachy Weissman

The growing replication crisis across disciplines such as economics, finance, and other social sciences as well as computer science undermines the credibility of academic research. Current institutional solutions -- such as artifact…

Cryptography and Security · Computer Science 2026-03-27 Jiasun Li , Project Team

Modern TTS systems are capable of creating highly realistic and natural-sounding speech. Despite these developments, the process of customizing TTS voices remains a complex task, mostly requiring the expertise of specialists within the…

Human-Computer Interaction · Computer Science 2024-08-23 Silvan Mertes , Daksitha Withanage Don , Otto Grothe , Johanna Kuch , Ruben Schlagowski , Elisabeth André

This work presents a new task of Text Expansion (TE), which aims to insert fine-grained modifiers into proper locations of the plain text to concretize or vivify human writings. Different from existing insertion-based writing assistance…

Computation and Language · Computer Science 2023-09-19 Yi Chen , Haiyun Jiang , Wei Bi , Rui Wang , Longyue Wang , Shuming Shi , Ruifeng Xu

Temporal expression (TE) normalization is a well-studied problem. However, the predominately used rule-based systems are highly restricted to specific settings, and upcoming machine learning approaches suffer from a lack of labeled data. In…

Computation and Language · Computer Science 2024-04-12 Akash Kumar Gautam , Lukas Lange , Jannik Strötgen

Diffusion Language Models (DLMs) have emerged as a promising alternative to Autoregressive Language Models, yet their inference strategies remain limited to prefix-based prompting inherited from the autoregressive paradigm. In this paper,…

Computation and Language · Computer Science 2026-05-19 Junhoo Lee , Seungyeon Kim , Nojun Kwak

Security and privacy concerns in computer systems have grown in importance with the ubiquity of connected devices. TEEs provide security guarantees based on cryptographic constructs built in hardware. Intel software guard extensions (SGX),…

Cryptography and Security · Computer Science 2020-03-12 Rafael Pereira Pires

We introduce a simple modification to the embedding layer. The key change is to infuse token embeddings with information about their spelling. Models trained with these embeddings improve not only on spelling, but also across standard…

Machine Learning · Computer Science 2026-01-27 Markus N. Rabe , Judith Clymo , Zheren Dong

Publish/subscribe systems play a key role in enabling communication between numerous devices in distributed and large-scale architectures. While widely adopted, securing such systems often trades portability for additional integrity and…

Cryptography and Security · Computer Science 2023-12-04 Jämes Ménétrey , Aeneas Grüter , Peterson Yuhala , Julius Oeftiger , Pascal Felber , Marcelo Pasin , Valerio Schiavoni

We present the sTeX+ system, a user-driven advancement of sTeX - a semantic extension of LaTeX that allows for producing high-quality PDF documents for (proof)reading and printing, as well as semantic XML/OMDoc documents for the Web or…

Software Engineering · Computer Science 2010-06-24 Andrea Kohlhase , Michael Kohlhase , Christoph Lange

Recently, the structural reading comprehension (SRC) task on web pages has attracted increasing research interests. Although previous SRC work has leveraged extra information such as HTML tags or XPaths, the informative topology of web…

Computation and Language · Computer Science 2022-05-16 Zihan Zhao , Lu Chen , Ruisheng Cao , Hongshen Xu , Xingyu Chen , Kai Yu

This paper presents a tool, TyDI, and methods experimented in the building of a termino-ontology, i.e. a lexicalized ontology aimed at fine-grained indexation for semantic search applications. TyDI provides facilities for knowledge…

Artificial Intelligence · Computer Science 2020-10-05 Claire Nédellec , Wiktoria Golik , Sophie Aubin , Robert Bossy
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