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  • Publication . Other literature type . Article . Conference object . Part of book or chapter of book . 2007
    Open Access English
    Authors: 
    Nicolas Berger; Tomasz Bold; Till Eifert; G. Fischer; S. George; Johannes Haller; Andreas Hoecker; Jiri Masik; Martin zur Nedden; V. P. Reale; +4 more
    Publisher: IOP Publishing (USA)
    Countries: Switzerland, France

    International audience; The High Level Trigger (HLT) of the ATLAS experiment at the Large Hadron Collider receives events which pass the LVL1 trigger at ~75 kHz and has to reduce the rate to ~200 Hz while retaining the most interesting physics. It is a software trigger and performs the reduction in two stages: the LVL2 trigger and the Event Filter (EF). At the heart of the HLT is the Steering software. To minimise processing time and data transfers it implements the novel event selection strategies of seeded, step-wise reconstruction and early rejection. The HLT is seeded by regions of interest identified at LVL1. These and the static configuration determine which algorithms are run to reconstruct event data and test the validity of trigger signatures. The decision to reject the event or continue is based on the valid signatures, taking into account pre-scale and pass-through. After the EF, event classification tags are assigned for streaming purposes. Several powerful new features for commissioning and operation have been added: comprehensive monitoring is now built in to the framework; for validation and debugging, reconstructed data can be written out; the steering is integrated with the new configuration (presented separately), and topological and global triggers have been added. This paper will present details of the final design and its implementation, the principles behind it, and the requirements and constraints it is subject to. The experience gained from technical runs with realistic trigger menus will be described.

  • Publication . Conference object . 2016
    Open Access English
    Authors: 
    Guilhem Saurel; Michel Taix; Jean-Paul Laumond;
    Publisher: HAL CCSD
    Country: France
    Project: EC | ACTANTHROPE (340050)

    International audience; transHumUs is an artistic work recently exhibited at the 56th Venice Biennale. The work aims at freeing trees from their roots. How to translate this poetic ambition into technological terms? This paper reports on the setup and the implementation of the project. It shows how state of the art mobile robotics technology can contribute to contemporary art development. The challenge has been to design original mobile platforms carrying charges of three tones, while moving noiseless according to tree metabolism, in operational spaces populated by visitors.

  • Open Access English
    Authors: 
    Bugnon, Pascale; Matvienko, Alina;
    Country: Switzerland

    In the wake of the dissolution of the USSR, not all statues and other monuments dedicated to Lenin have suffered the same fate in the former Soviet republics. In Ukraine, for example, the “decommunisation” of the country meant that almost all the Soviet emblems were lost as collateral victims of the struggle to free themselves from the influence of the imposing Russian neighbour. In Central Asia, too, statues of Lenin have often been replaced by monuments to the new leaders, establishing their own cult of personality. In Kyrgyzstan, however, the memory of Lenin and his most famous statuary representation - the Lenin statue on Ala-Too Square in the centre of the city of Bishkek - has had a special destiny: untouched for over a decade after the collapse of communism, the monument was protected by a decree as a national heritage in 2000. And finally, when, in 2003, the government after all decided to remove the monument, it was then relocated only several meters from its original location. Far from signing its death, this relocation led to a re-reading of the monument and took on a plurality of uses in an unofficial register of representation. As symbols of a potentially controversial memory, the statues have regularly aroused strong “heritage emotions” (Fabre, 2013). In the wake of the claims expressed by the “Black Lives Matters” movement, this project proposes to examine the circumstances and forms of reappropriation of this particular statuary heritage. The importance of the monument as a referent in the rhetorical confrontations around power cannot be reduced to a clear-cut alternative between construction and destruction. From graffiti to decapitation and hijacking, citizens intervene in the public space to make claims, denounce, support or ignore. In the light of these repertoires of actions, we will analyse what the statues “say” or, rather, what they are made to say.

  • Publication . Part of book or chapter of book . Conference object . 2006
    Open Access
    Authors: 
    Manny Rayner; Pierrette Bouillon; Nikos Chatzichrisafis; Marianne Santaholma; Marianne Starlander; Beth Ann Hockey; Yukie Nakao; Hitoshi Isahara; Kyoko Kanzaki;
    Publisher: Association for Computational Linguistics
    Country: Switzerland

    MedSLT is a unidirectional medical speech translation system intended for use in doctor-patient diagnosis dialogues, which provides coverage of several different language pairs and subdomains. Vocabulary ranges from about 350 to 1000 surface words, depending on the language and subdomain. We will demo both the system itself and the development environment, which uses a combination of rule-based and data-driven methods to construct efficient recognisers, generators and transfer rule sets from small corpora.

  • Publication . Conference object . 2014
    Restricted English
    Authors: 
    Barras, Arnaud;
    Country: Switzerland
  • Publication . Conference object . Part of book or chapter of book . 2014
    Open Access English
    Authors: 
    Yves Scherrer;
    Publisher: Association for Computational Linguistics and Dublin City University
    Country: Switzerland

    When developing NLP tools for low-resource languages, one is often confronted with the lack of annotated data. We propose to circumvent this bottleneck by training a supervised HMM tagger on a closely related language for which annotated data are available, and translating the words in the tagger parameter files into the low-resource language. The translation dictionaries are created with unsupervised lexicon induction techniques that rely only on raw textual data. We obtain a tagging accuracy of up to 89.08% using a Spanish tagger adapted to Catalan, which is 30.66% above the performance of an unadapted Spanish tagger, and 8.88% below the performance of a supervised tagger trained on annotated Catalan data. Furthermore, we evaluate our model on several Romance, Germanic and Slavic languages and obtain tagging accuracies of up to 92%.

  • Publication . Conference object . Article . Part of book or chapter of book . 2013
    Open Access
    Authors: 
    A. Blondel; Ilias Efthymiopoulos;
    Publisher: ,
    Country: Switzerland
    Project: SNSF | Neutrino Oscillations: T2... (132872), SNSF | Neutrino Oscillations: T2... (143494)

    This presents the response to questions formulated by a round table discussion panel to the NUFACT11 participants. The main points made were as follows. Neutrino mass is physics beyond the Standard Model; it presents a very deep puzzle to solve, with the answers to several fundamental questions as potential reward. Precision measurement of oscillation parameters is one essential way to access information needed to solve this puzzle and there is a relatively clear (but not easy) way forward. Large θ13 makes the appearance signals larger, but does not allow to relax the requirements on high beam intensity and large detector masses; it creates a difficult challenge on systematic errors, which will require dedicated ancillary experiments. Of particular interest is a low intensity muon storage ring for required cross-section measurements. There exist already extended bottom-up international collaboration in both physics and R&D experiments. All three main regions have plans for upgraded super-beams and associated detectors, with a variety of (mostly) complementary baselines, proceeding in an incremental way. The ultimate precision and verification of the neutrino mixing picture requires new types of neutrino beams based on storage rings. For low energy neutrinos, the beta-beam is a possible (but substantial) intermediate step. The Neutrino Factory offers the best precision and best sensitivity to deviations from the standard picture. Coordinated international R&D is pursued. International collaboration at the top level would be beneficial in acknowledging the process, so as make sure that intermediate steps are effectively building up in complementary fashion towards the ultimate goals.

  • Publication . Article . Conference object . 2017
    Open Access English
    Authors: 
    Anne Obermann; Karyono Karyono; Tobias Diehl; Matteo Lupi; Adriano Mazzini;
    Countries: Switzerland, Germany
    Project: EC | IMAGE (608553), SNSF | GENERATE - GEophysical an... (166900), SNSF | Earthquake-induced fault ... (154815), EC | LUSI LAB (308126)

    We study the local seismicity in East Java around the Arjuno-Welirang volcanic complex that is connected via the Watukosek Fault System, to the spectacular Lusi eruption site. Lusi is a sediment-hosted hydrothermal system which has been erupting since 2006. It is fed by both mantellic and hydrothermal fluids, rising and mixing with the thermogenic gases and other fluids from shallower sedimentary formations. During a period of 24 months, we observe 156 micro-seismic earthquakes with local magnitudes ranging from ML0.5 to ML1.9, within our network. The events predominantly nucleate at depths of 8–13 km below the Arjuno-Welirang volcanic complex. Despite the geological evidence of active tectonic deformation and faulting observed at the surface, practically no seismicity is observed in the sedimentary basin hosting Lusi. Although we cannot entirely rule out artifacts due to an increased detection threshold in the sedimentary basin, the deficit in significant seismicity suggests aseismic deformation beneath Lusi due to the large amount of fluids that may lubricate the fault system. An analysis of focal mechanisms of nine selected events around the Arjuno-Welirang volcanic complex indicates predominantly strike-slip faulting activity in the region SW of Lusi. This type of activity is consistent with observable features such as fault escarpment, river deviation and railroad deformation; suggesting that the Watukosek fault system extends from the volcanic complex towards the NE of Java. Our results point out that the tectonic deformation of the region is characterized by a segmented fault system being part of a broader damage zone, rather than localized along a distinct fault plane. Obermann, Anne, et al. "Seismicity at Lusi and the adjacent volcanic complex, Java, Indonesia." Marine and Petroleum Geology (2017). Obermann, Anne, et al. "Seismicity at Lusi and the adjacent volcanic complex, Java, Indonesia." Marine and Petroleum Geology (2017). © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.

  • Publication . Part of book or chapter of book . Other literature type . Conference object . 2005
    Open Access English
    Authors: 
    Andrei Popescu-Belis; Alexander Clark; Maria Georgescul; Denis Lalanne; Sandrine Zufferey;
    Publisher: LNCS 3361, Springer
    Country: Switzerland

    This paper presents a shallow dialogue analysis model, aimed at human-human dialogues in the context of staff or business meetings. Four components of the model are defined, and several machine learning techniques are used to extract features from dialogue transcripts: maximum entropy classifiers for dialogue acts, latent semantic analysis for topic segmentation, or decision tree classifiers for discourse markers. A rule-based approach is proposed for solving cross-modal references to meeting documents. The methods are trained and evaluated thanks to a common data set and annotation format. The integration of the components into an automated shallow dialogue parser opens the way to multimodal meeting processing and retrieval applications.

  • Publication . Article . Other literature type . Part of book or chapter of book . Conference object . Preprint . 2018
    Open Access English
    Authors: 
    Kristina Gulordava; Piotr Bojanowski; Edouard Grave; Tal Linzen; Marco Baroni;
    Country: Switzerland

    Recurrent neural networks (RNNs) have achieved impressive results in a variety of linguistic processing tasks, suggesting that they can induce non-trivial properties of language. We investigate here to what extent RNNs learn to track abstract hierarchical syntactic structure. We test whether RNNs trained with a generic language modeling objective in four languages (Italian, English, Hebrew, Russian) can predict long-distance number agreement in various constructions. We include in our evaluation nonsensical sentences where RNNs cannot rely on semantic or lexical cues ("The colorless green ideas I ate with the chair sleep furiously"), and, for Italian, we compare model performance to human intuitions. Our language-model-trained RNNs make reliable predictions about long-distance agreement, and do not lag much behind human performance. We thus bring support to the hypothesis that RNNs are not just shallow-pattern extractors, but they also acquire deeper grammatical competence. Accepted to NAACL 2018

search
Include:
72 Research products, page 1 of 8
  • Publication . Other literature type . Article . Conference object . Part of book or chapter of book . 2007
    Open Access English
    Authors: 
    Nicolas Berger; Tomasz Bold; Till Eifert; G. Fischer; S. George; Johannes Haller; Andreas Hoecker; Jiri Masik; Martin zur Nedden; V. P. Reale; +4 more
    Publisher: IOP Publishing (USA)
    Countries: Switzerland, France

    International audience; The High Level Trigger (HLT) of the ATLAS experiment at the Large Hadron Collider receives events which pass the LVL1 trigger at ~75 kHz and has to reduce the rate to ~200 Hz while retaining the most interesting physics. It is a software trigger and performs the reduction in two stages: the LVL2 trigger and the Event Filter (EF). At the heart of the HLT is the Steering software. To minimise processing time and data transfers it implements the novel event selection strategies of seeded, step-wise reconstruction and early rejection. The HLT is seeded by regions of interest identified at LVL1. These and the static configuration determine which algorithms are run to reconstruct event data and test the validity of trigger signatures. The decision to reject the event or continue is based on the valid signatures, taking into account pre-scale and pass-through. After the EF, event classification tags are assigned for streaming purposes. Several powerful new features for commissioning and operation have been added: comprehensive monitoring is now built in to the framework; for validation and debugging, reconstructed data can be written out; the steering is integrated with the new configuration (presented separately), and topological and global triggers have been added. This paper will present details of the final design and its implementation, the principles behind it, and the requirements and constraints it is subject to. The experience gained from technical runs with realistic trigger menus will be described.

  • Publication . Conference object . 2016
    Open Access English
    Authors: 
    Guilhem Saurel; Michel Taix; Jean-Paul Laumond;
    Publisher: HAL CCSD
    Country: France
    Project: EC | ACTANTHROPE (340050)

    International audience; transHumUs is an artistic work recently exhibited at the 56th Venice Biennale. The work aims at freeing trees from their roots. How to translate this poetic ambition into technological terms? This paper reports on the setup and the implementation of the project. It shows how state of the art mobile robotics technology can contribute to contemporary art development. The challenge has been to design original mobile platforms carrying charges of three tones, while moving noiseless according to tree metabolism, in operational spaces populated by visitors.

  • Open Access English
    Authors: 
    Bugnon, Pascale; Matvienko, Alina;
    Country: Switzerland

    In the wake of the dissolution of the USSR, not all statues and other monuments dedicated to Lenin have suffered the same fate in the former Soviet republics. In Ukraine, for example, the “decommunisation” of the country meant that almost all the Soviet emblems were lost as collateral victims of the struggle to free themselves from the influence of the imposing Russian neighbour. In Central Asia, too, statues of Lenin have often been replaced by monuments to the new leaders, establishing their own cult of personality. In Kyrgyzstan, however, the memory of Lenin and his most famous statuary representation - the Lenin statue on Ala-Too Square in the centre of the city of Bishkek - has had a special destiny: untouched for over a decade after the collapse of communism, the monument was protected by a decree as a national heritage in 2000. And finally, when, in 2003, the government after all decided to remove the monument, it was then relocated only several meters from its original location. Far from signing its death, this relocation led to a re-reading of the monument and took on a plurality of uses in an unofficial register of representation. As symbols of a potentially controversial memory, the statues have regularly aroused strong “heritage emotions” (Fabre, 2013). In the wake of the claims expressed by the “Black Lives Matters” movement, this project proposes to examine the circumstances and forms of reappropriation of this particular statuary heritage. The importance of the monument as a referent in the rhetorical confrontations around power cannot be reduced to a clear-cut alternative between construction and destruction. From graffiti to decapitation and hijacking, citizens intervene in the public space to make claims, denounce, support or ignore. In the light of these repertoires of actions, we will analyse what the statues “say” or, rather, what they are made to say.

  • Publication . Part of book or chapter of book . Conference object . 2006
    Open Access
    Authors: 
    Manny Rayner; Pierrette Bouillon; Nikos Chatzichrisafis; Marianne Santaholma; Marianne Starlander; Beth Ann Hockey; Yukie Nakao; Hitoshi Isahara; Kyoko Kanzaki;
    Publisher: Association for Computational Linguistics
    Country: Switzerland

    MedSLT is a unidirectional medical speech translation system intended for use in doctor-patient diagnosis dialogues, which provides coverage of several different language pairs and subdomains. Vocabulary ranges from about 350 to 1000 surface words, depending on the language and subdomain. We will demo both the system itself and the development environment, which uses a combination of rule-based and data-driven methods to construct efficient recognisers, generators and transfer rule sets from small corpora.

  • Publication . Conference object . 2014
    Restricted English
    Authors: 
    Barras, Arnaud;
    Country: Switzerland
  • Publication . Conference object . Part of book or chapter of book . 2014
    Open Access English
    Authors: 
    Yves Scherrer;
    Publisher: Association for Computational Linguistics and Dublin City University
    Country: Switzerland

    When developing NLP tools for low-resource languages, one is often confronted with the lack of annotated data. We propose to circumvent this bottleneck by training a supervised HMM tagger on a closely related language for which annotated data are available, and translating the words in the tagger parameter files into the low-resource language. The translation dictionaries are created with unsupervised lexicon induction techniques that rely only on raw textual data. We obtain a tagging accuracy of up to 89.08% using a Spanish tagger adapted to Catalan, which is 30.66% above the performance of an unadapted Spanish tagger, and 8.88% below the performance of a supervised tagger trained on annotated Catalan data. Furthermore, we evaluate our model on several Romance, Germanic and Slavic languages and obtain tagging accuracies of up to 92%.

  • Publication . Conference object . Article . Part of book or chapter of book . 2013
    Open Access
    Authors: 
    A. Blondel; Ilias Efthymiopoulos;
    Publisher: ,
    Country: Switzerland
    Project: SNSF | Neutrino Oscillations: T2... (132872), SNSF | Neutrino Oscillations: T2... (143494)

    This presents the response to questions formulated by a round table discussion panel to the NUFACT11 participants. The main points made were as follows. Neutrino mass is physics beyond the Standard Model; it presents a very deep puzzle to solve, with the answers to several fundamental questions as potential reward. Precision measurement of oscillation parameters is one essential way to access information needed to solve this puzzle and there is a relatively clear (but not easy) way forward. Large θ13 makes the appearance signals larger, but does not allow to relax the requirements on high beam intensity and large detector masses; it creates a difficult challenge on systematic errors, which will require dedicated ancillary experiments. Of particular interest is a low intensity muon storage ring for required cross-section measurements. There exist already extended bottom-up international collaboration in both physics and R&D experiments. All three main regions have plans for upgraded super-beams and associated detectors, with a variety of (mostly) complementary baselines, proceeding in an incremental way. The ultimate precision and verification of the neutrino mixing picture requires new types of neutrino beams based on storage rings. For low energy neutrinos, the beta-beam is a possible (but substantial) intermediate step. The Neutrino Factory offers the best precision and best sensitivity to deviations from the standard picture. Coordinated international R&D is pursued. International collaboration at the top level would be beneficial in acknowledging the process, so as make sure that intermediate steps are effectively building up in complementary fashion towards the ultimate goals.

  • Publication . Article . Conference object . 2017
    Open Access English
    Authors: 
    Anne Obermann; Karyono Karyono; Tobias Diehl; Matteo Lupi; Adriano Mazzini;
    Countries: Switzerland, Germany
    Project: EC | IMAGE (608553), SNSF | GENERATE - GEophysical an... (166900), SNSF | Earthquake-induced fault ... (154815), EC | LUSI LAB (308126)

    We study the local seismicity in East Java around the Arjuno-Welirang volcanic complex that is connected via the Watukosek Fault System, to the spectacular Lusi eruption site. Lusi is a sediment-hosted hydrothermal system which has been erupting since 2006. It is fed by both mantellic and hydrothermal fluids, rising and mixing with the thermogenic gases and other fluids from shallower sedimentary formations. During a period of 24 months, we observe 156 micro-seismic earthquakes with local magnitudes ranging from ML0.5 to ML1.9, within our network. The events predominantly nucleate at depths of 8–13 km below the Arjuno-Welirang volcanic complex. Despite the geological evidence of active tectonic deformation and faulting observed at the surface, practically no seismicity is observed in the sedimentary basin hosting Lusi. Although we cannot entirely rule out artifacts due to an increased detection threshold in the sedimentary basin, the deficit in significant seismicity suggests aseismic deformation beneath Lusi due to the large amount of fluids that may lubricate the fault system. An analysis of focal mechanisms of nine selected events around the Arjuno-Welirang volcanic complex indicates predominantly strike-slip faulting activity in the region SW of Lusi. This type of activity is consistent with observable features such as fault escarpment, river deviation and railroad deformation; suggesting that the Watukosek fault system extends from the volcanic complex towards the NE of Java. Our results point out that the tectonic deformation of the region is characterized by a segmented fault system being part of a broader damage zone, rather than localized along a distinct fault plane. Obermann, Anne, et al. "Seismicity at Lusi and the adjacent volcanic complex, Java, Indonesia." Marine and Petroleum Geology (2017). Obermann, Anne, et al. "Seismicity at Lusi and the adjacent volcanic complex, Java, Indonesia." Marine and Petroleum Geology (2017). © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.

  • Publication . Part of book or chapter of book . Other literature type . Conference object . 2005
    Open Access English
    Authors: 
    Andrei Popescu-Belis; Alexander Clark; Maria Georgescul; Denis Lalanne; Sandrine Zufferey;
    Publisher: LNCS 3361, Springer
    Country: Switzerland

    This paper presents a shallow dialogue analysis model, aimed at human-human dialogues in the context of staff or business meetings. Four components of the model are defined, and several machine learning techniques are used to extract features from dialogue transcripts: maximum entropy classifiers for dialogue acts, latent semantic analysis for topic segmentation, or decision tree classifiers for discourse markers. A rule-based approach is proposed for solving cross-modal references to meeting documents. The methods are trained and evaluated thanks to a common data set and annotation format. The integration of the components into an automated shallow dialogue parser opens the way to multimodal meeting processing and retrieval applications.

  • Publication . Article . Other literature type . Part of book or chapter of book . Conference object . Preprint . 2018
    Open Access English
    Authors: 
    Kristina Gulordava; Piotr Bojanowski; Edouard Grave; Tal Linzen; Marco Baroni;
    Country: Switzerland

    Recurrent neural networks (RNNs) have achieved impressive results in a variety of linguistic processing tasks, suggesting that they can induce non-trivial properties of language. We investigate here to what extent RNNs learn to track abstract hierarchical syntactic structure. We test whether RNNs trained with a generic language modeling objective in four languages (Italian, English, Hebrew, Russian) can predict long-distance number agreement in various constructions. We include in our evaluation nonsensical sentences where RNNs cannot rely on semantic or lexical cues ("The colorless green ideas I ate with the chair sleep furiously"), and, for Italian, we compare model performance to human intuitions. Our language-model-trained RNNs make reliable predictions about long-distance agreement, and do not lag much behind human performance. We thus bring support to the hypothesis that RNNs are not just shallow-pattern extractors, but they also acquire deeper grammatical competence. Accepted to NAACL 2018

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