Concept

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Related publications (40)

Interpretable Representation Learning and Evaluation for Abstractive Summarization

Abstractive summarization has seen big improvements in recent years, mostly due to advances in neural language modeling, language model pretraining, and scaling models and datasets. While large language models generate summaries that are fluent, coherent, ...

EPFL2023

Bifurcations in mountain rivers: insights on their hydraulics from field measurements.

Christophe Ancey, Ivan Pascal, Bob de Graffenried, Raphaël Miazza

Although the importance of studying channel bifurcations is widely recognised, their hydraulic behaviour in shallow, rough mountain rivers has so far received little attention from researchers. Understanding the specific hydraulics of such units is essenti ...

2023

On Representation Learning for Scientific News Articles Using Heterogeneous Knowledge Graphs

Karl Aberer, Angeliki Romanou, Panagiotis Smeros

In the era of misinformation and information inflation, the credibility assessment of the produced news is of the essence. However, fact-checking can be challenging considering the limited references presented in the news. This challenge can be transcended ...

ASSOC COMPUTING MACHINERY2021

Secrecy by Design With Applications to Privacy and Compression

Yanina Yurina Shkel

Secrecy by design is examined as an approach to information-theoretic secrecy. The main idea behind this approach is to design an information processing system from the ground up to be perfectly secure with respect to an explicit secrecy constraint. The pr ...

2021

Quantifying Engagement with Citations on Wikipedia

Robert West, Tiziano Piccardi, Giovanni Colavizza

Wikipedia is one of the most visited sites on the Web and a common source of information for many users. As an encyclopedia, Wikipedia was not conceived as a source of original information, but as a gateway to secondary sources: according to Wikipedia's gu ...

RUSSIAN NATL PUBLIC LIBRARY SCIENCE & TECHNOLOGY2020

Quantifying Engagement with Citations on Wikipedia

Robert West, Tiziano Piccardi, Giovanni Colavizza

ASSOC COMPUTING MACHINERY2020

Word Sense Consistency in Statistical and Neural Machine Translation

Xiao Pu

Different senses of source words must often be rendered by different words in the target language when performing machine translation (MT). Selecting the correct translation of polysemous words can be done based on the contexts of use. However, state-of-th ...

EPFL2018

Selection Bias in News Coverage: Learning it, Fighting it

Karl Aberer, Jérémie Rappaz

News entities must select and filter the coverage they broadcast through their respective channels since the set of world events is too large to be treated exhaustively. The subjective nature of this filtering induces biases due to, among other things, res ...

2018

Integrating Information Sources for Inland Waters - A New Global Framework for Lakes Modelling and Monitoring

Theo Baracchini

Like islands, lakes are not only unique geographical features, but also ecological concepts on their own. Their exceptional variability has been studied numerous times, yet no unique framework capable of reproducing the wide range of lake dynamics observed ...

2016

Kamusi Pre:D – Lexicon-based source-side predisambiguation for MT and other text processing applications

Martin Benjamin

Kamusi has been developing a system to analyze texts on the source side and present users with sense-specified dictionary options. Similarly to spellcheck, the user selects the intended meaning. We then use a multilingual lexical database to bridge to matc ...

ENeL2016

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