Combination Strategies for Semantic Role Labeling

This paper introduces and analyzes a battery of inference models for the problem of semantic role labeling: one based on constraint satisfaction, and several strategies that model the inference as a meta-learning problem using discriminative classifiers. These classifiers are developed with a rich set of novel features that encode proposition and sentence-level information. To our knowledge, this is the first work that: (a) performs a thorough analysis of learning-based inference models for semantic role labeling, and (b) compares several inference strategies in this context. We evaluate the proposed inference strategies in the framework of the CoNLL-2005 shared task using only automatically-generated syntactic information. The extensive experimental evaluation and analysis indicates that all the proposed inference strategies are successful -they all outperform the current best results reported in the CoNLL-2005 evaluation exercise- but each of the proposed approaches has its advantages and disadvantages. Several important traits of a state-of-the-art SRL combination strategy emerge from this analysis: (i) individual models should be combined at the granularity of candidate arguments rather than at the granularity of complete solutions; (ii) the best combination strategy uses an inference model based in learning; and (iii) the learning-based inference benefits from max-margin classifiers and global feedback

Exotic <i>μ τ jj</i> events from heavy ISS neutrinos at the LHC

In this letter we study new relevant phenomenological consequences of the right-handed heavy neutrinos with masses at the O(1)TeV energy scale, working within the context of the Inverse Seesaw Model that includes three pairs of quasi-degenerate pseudo-Dirac heavy neutrinos. We propose a new exotic signal of these heavy neutrinos at the CERN Large Hadron Collider containing a muon, a tau lepton, and two jets in the final state, which is based on the interesting fact that this model can incorporate large Lepton Flavor Violation for specific choices of the relevant parameters, particularly, the neutrino Yukawa couplings. We will show here that an observable number of μτ. jj exotic events, without missing energy, can be produced at this ongoing run of the LHC.Instituto de Física La Plat

A sandpile model with tokamak-like enhanced confinement phenomenology

Confinement phenomenology characteristic of magnetically confined plasmas emerges naturally from a simple sandpile algorithm when the parameter controlling redistribution scalelength is varied. Close analogues are found for enhanced confinement, edge pedestals, and edge localised modes (ELMs), and for the qualitative correlations between them. These results suggest that tokamak observations of avalanching transport are deeply linked to the existence of enhanced confinement and ELMs.Comment: Manuscript is revtex (latex) 1 file, 7 postscript figures Revised version is final version accepted for publication in PRL Revisions are mino

Un abordaje de co-diseño de aplicaciones móviles destinadas a niños y jóvenes con condición del espectro autista

Los avances tecnológicos han permitido que tome gran relevancia el uso de aplicaciones móviles como un medio de apoyo para favorecer la comunicación y mejorar las habilidades sociales de niños y jóvenes. El objetivo de este trabajo es generar un espacio de reflexión sobre el grado de participación de niños y jóvenes con Condición del Espectro Autista en el diseño de aplicaciones móviles destinadas a mejorar las habilidades sociales. Se presenta el estado del arte en esta temática, detallando diferentes aplicaciones móviles existentes como así también experiencias de diseño y se discuten sus implicancias. Se propone un abordaje de co-diseño de aplicaciones móviles destinadas a niños y jóvenes con desafíos en habilidades sociales usando recursos de Design Thinking

Un abordaje de co-diseño de aplicaciones móviles destinadas a niños y jóvenes con condición del espectro autista

Los avances tecnológicos han permitido que tome gran relevancia el uso de aplicaciones móviles como un medio de apoyo para favorecer la comunicación y mejorar las habilidades sociales de niños y jóvenes. El objetivo de este trabajo es generar un espacio de reflexión sobre el grado de participación de niños y jóvenes con Condición del Espectro Autista en el diseño de aplicaciones móviles destinadas a mejorar las habilidades sociales. Se presenta el estado del arte en esta temática, detallando diferentes aplicaciones móviles existentes como así también experiencias de diseño y se discuten sus implicancias. Se propone un abordaje de co-diseño de aplicaciones móviles destinadas a niños y jóvenes con desafíos en habilidades sociales usando recursos de Design Thinking.Sociedad Argentina de Informática e Investigación Operativ

Un abordaje de co-diseño de aplicaciones móviles destinadas a niños y jóvenes con condición del espectro autista

Los avances tecnológicos han permitido que tome gran relevancia el uso de aplicaciones móviles como un medio de apoyo para favorecer la comunicación y mejorar las habilidades sociales de niños y jóvenes. El objetivo de este trabajo es generar un espacio de reflexión sobre el grado de participación de niños y jóvenes con Condición del Espectro Autista en el diseño de aplicaciones móviles destinadas a mejorar las habilidades sociales. Se presenta el estado del arte en esta temática, detallando diferentes aplicaciones móviles existentes como así también experiencias de diseño y se discuten sus implicancias. Se propone un abordaje de co-diseño de aplicaciones móviles destinadas a niños y jóvenes con desafíos en habilidades sociales usando recursos de Design Thinking.Laboratorio de Investigación y Formación en Informática Avanzad

An estimate of the total catch in the Spanish Mediterranean Sea and Gulf of Cadiz regions (1950-2010)

The underestimation of fisheries removals is a global issue that spans countries from different continents and different socio-economic situations. Underestimation of catches is especially important in countries where fishing fleets are highly diversified, the enforcement of fishing management is low, data availability is poor, and there is high demand for fish products in local markets. This is the case for Mediterranean countries. Here, we estimated total removals of marine resources by Spain from 1950 to 2010 for the Spanish Mediterranean Sea and Gulf of Cadiz regions following a catch-reconstruction approach. We first collected information from scientific publications, grey literature and secondary sources of information (i.e., personal communications, interviews with managers and fishers) to complement officially reported catch data, which are publicly available from FAO databases and from national and regional statistics. A literature search and fishers interviews provided assessments of missing catch sectors that are time-point estimates. These were used as anchor points of reliable data upon which we then estimated total catch using interpolation to fill in the periods for which quantitative data were missing. Overall, the reconstructed catch was 70% larger than the nationally reported data for the same time period. Results illustrated that unreported removals and discards represent important portions of total removals in the study area. Unreported landings and discards accounted for, on average, 42% of total removals between 1950s and 2010, and were composed of black market sales, subsistence fishing, artisanal fishing, recreational fishing and illegal catch, in addition to discarding. By the late 2000s, recreational fishing was the most important sector for unreported landings (~36%), followed by black market sales (~32%), subsistence fishing (~17%), unreported artisanal fishing (~12%) and illegal catch (~2%). While FAO landings data showed an increase of landings from 1950 to the mid-1960s and a decline from the mid-1970s to 2010, a different trend emerged after accounting for all fisheries removals. Reconstructed total catches revealed an earlier maximum of total removals in the late 1950s, a plateau being reached during the 1960s and 1970s, and a decline from the early 1980s to 2010. Our estimates of total fisheries catches represent an improvement over official catch data, and suggest a different historical trend of marine resource use

Semi-automatic conversion of BioProp semantic annotation to PASBio annotation

<p>Abstract</p> <p>Background</p> <p>Semantic role labeling (SRL) is an important text analysis technique. In SRL, sentences are represented by one or more predicate-argument structures (PAS). Each PAS is composed of a predicate (verb) and several arguments (noun phrases, adverbial phrases, etc.) with different semantic roles, including main arguments (agent or patient) as well as adjunct arguments (time, manner, or location). PropBank is the most widely used PAS corpus and annotation format in the newswire domain. In the biomedical field, however, more detailed and restrictive PAS annotation formats such as PASBio are popular. Unfortunately, due to the lack of an annotated PASBio corpus, no publicly available machine-learning (ML) based SRL systems based on PASBio have been developed. In previous work, we constructed a biomedical corpus based on the PropBank standard called BioProp, on which we developed an ML-based SRL system, BIOSMILE. In this paper, we aim to build a system to convert BIOSMILE's BioProp annotation output to PASBio annotation. Our system consists of BIOSMILE in combination with a BioProp-PASBio rule-based converter, and an additional semi-automatic rule generator.</p> <p>Results</p> <p>Our first experiment evaluated our rule-based converter's performance independently from BIOSMILE performance. The converter achieved an F-score of 85.29%. The second experiment evaluated combined system (BIOSMILE + rule-based converter). The system achieved an F-score of 69.08% for PASBio's 29 verbs.</p> <p>Conclusion</p> <p>Our approach allows PAS conversion between BioProp and PASBio annotation using BIOSMILE alongside our newly developed semi-automatic rule generator and rule-based converter. Our system can match the performance of other state-of-the-art domain-specific ML-based SRL systems and can be easily customized for PASBio application development.</p