Publications related to Argument discovery via crowdsourcing

Related publications (23)

THE PHASE TRANSITION FOR PLANAR GAUSSIAN PERCOLATION MODELS WITHOUT FKG

We develop techniques to study the phase transition for planar Gaussian percolation models that are not (necessarily) positively correlated. These models lack the property of positive associations (also known as the 'FKG inequality'), and hence many classi ...

Inst Mathematical Statistics-Ims2023

Debates on the dorsomedial prefrontal/dorsal anterior cingulate cortex: insights for future research

Nicolas Clairis

The dorsomedial prefrontal cortex/dorsal anterior cingulate cortex (dmPFC/dACC) is a brain area subject to many theories and debates over its function(s). Even its precise anatomical borders are subject to much controversy. In the past decades, the dmPFC/d ...

Oxford Univ Press2023

Digitization of the inscriptions on the monuments of Armenian cultural heritage in Nagorno-Karabakh region

Hamest Tamrazyan

The Armenian cultural heritage in Artsakh 1 is in danger after explicit threats of irreversible destruction coordinated by Azerbaijan authorities 2. As part of a series of actions coordinated by the École Polytechnique Fédérale de Lausanne, the Digital Hum ...

2023

Nothing New Under the Sun: Novelty Constructs and Measures in Social Studies

Davide Bavato

The concept of novelty is central to questions of creativity, innovation, and discovery. Despite the prominence in scientific inquiry and everyday discourse, there is a chronic ambiguity over its meaning and a surprising variety of empirical measures, whic ...

Emerald Publishing Limited2022

The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task

James Henderson, Alireza Mohammadshahi

We describe the DCU-EPFL submission to the IWPT 2021 Parsing Shared Task: From Raw Text to Enhanced Universal Dependencies. The task involves parsing Enhanced UD graphs, which are an extension of the basic dependency trees designed to be more facilitative ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2021

Multi-scale sequential network for semantic text segmentation and localization

Jean-Marc Odobez, Olivier Canévet, Michael Villamizar

We present a novel method for semantic text document analysis which in addition to localizing text it labels the text in user-defined semantic categories. More precisely, it consists of a fully-convolutional and sequential network that we apply to the part ...

2020

Contact process under renewals II

Thomas Mountford

We continue the study of renewal contact processes initiated in a companion paper, where we showed that if the tail of the interarrival distribution mu is heavier than t(-alpha) for some alpha < 1 (plus auxiliary regularity conditions) then the critical va ...

ELSEVIER2020

Six additional replies - one more chorus of the S3 ballad

Dominique Foray

This paper has been written as a response to 'Six additional questions about smart specialization: implications for regional innovation policy 4.0' by M. Benner. The paper starts with the argument that recent academic work has enabled considerable progress ...

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD2020

Language Resources for Historical Newspapers: the Impresso Collection

Maud Ehrmann, Matteo Romanello, Raphaël Barman

Following decades of massive digitization, an unprecedented amount of historical document facsimiles can now be retrieved and accessed via cultural heritage online portals. If this represents a huge step forward in terms of preservation and accessibility, ...

European Language Resources Association2020

Quantifying Fano properties in self-assembled metamaterials

Olivier Martin

Fano resonances in metamaterials can be explained by the coupling between different modes sustained by the meta-atom. While the associated spectral features are usually quite easy to identify for top-down metamaterials, thanks to the deterministic arrangem ...

2019

Wet Markets and Food Safety: TripAdvisor for Improved Global Digital Surveillance

Martin Mathias Müller, Sharada Prasanna Mohanty

Background: Wet markets are markets selling fresh meat and produce. Wet markets are critical for food security and sustainable development in their respective regions. Due to their cultural significance, they attract numerous visitors and consequently gene ...

2019

You Talking to Me? The TED digital infrastructure as a Recognition Device

Gianluigi Viscusi, Heidi Christina Gautschi

This article investigates the TED digital infrastructure for translating Science and Technology projects. Specifically, we seek to investigate the TED infrastructures generative mechanisms and their relation to valuation mechanisms and practices. The resea ...

Academy of Management2018

Quantifying Collaboration in Synchronous Document Editing

Jennifer Kaitlyn Olsen, Stian Haklev

Collaborative synchronous writing tools like Google Docs and Etherpad let multiple users edit the same document and see each others edits in near real-time to simplify collaboration and avoid merge-conflicts. These tools are used extensively across many do ...

2018

Simple Unsupervised Keyphrase Extraction using Sentence Embeddings

Martin Jaggi, Claudiu-Cristian Musat

Keyphrase extraction is the task of automatically selecting a small set of phrases that best describe a given free text document. Keyphrases can be used for indexing, searching, aggregating and summarizing text documents, serving many automatic as well as ...

2018

Template Induction over Unstructured Email Corpora

Julia Proskurnia

Unsupervised template induction over email data is a central component in applications such as information extraction, document classification, and auto-reply. The benefits of automatically generating such templates are known for structured data, e.g. mach ...

Urban Development Processes: Methodological Investigation into the Complexity and Dynamics of Post-socialist Cities : Case Study of Savamala Neighbourhood in Belgrade, Serbia

Marija Cvetinovic

The overall objective of this thesis is to critically address, break down and reassemble the urban development process in post-socialist cities through a set of analyses that covers urban planning strategies, real-estate interventions, participatory and ur ...

EPFL2017

Word Embeddings for Natural Language Processing

Rémi Philippe Lebret

Word embedding is a feature learning technique which aims at mapping words from a vocabulary into vectors of real numbers in a low-dimensional space. By leveraging large corpora of unlabeled text, such continuous space representations can be computed for c ...

EPFL2016

Polynomiality of Hurwitz numbers, Bouchard-Marino conjecture, and a new proof of the ELSV formula

Nicolas Gerson Orantin

In this paper we give a new proof of the ELSV formula. First, we refine an argument of Okounkov and Pandharipande in order to prove (quasi-)polynomiality of Hurwitz numbers without using the ELSV formula (the only way to do that before used the ELSV formul ...

Academic Press Inc Elsevier Science2015

Discourse-level features for statistical machine translation

Thomas Meyer

Machine Translation (MT) has progressed tremendously in the past two decades. The rule-based and interlingua approaches have been superseded by statistical models, which learn the most likely translations from large parallel corpora. System design does not ...

EPFL2015

Synthesizing Java Expressions from Free-Form Queries

Viktor Kuncak, Tihomir Gvero

We present a new code assistance tool for integrated development environments. Our system accepts as input free-form queries containing a mixture of English and Java, and produces Java code expressions that take the query into account and respect syntax, t ...

Assoc Computing Machinery2015