UNIMIB@NEEL-IT: Named Entity Recognition and Linking of Italian Tweets

Questo articolo descrive il sistema proposto dal gruppo UNIMIB per il task di Named Entity Recognition and Linking applicato a tweet in lingua italiana (NEEL-IT). Il sistema, che rappresenta un approccio iniziale al problema, \ue8 costituito da tre passaggi fondamentali: (1) Named Entity Recognition tramite l\u2019utilizzo di Conditional Random Fields, (2) Named Entity Linking considerando sia approcci supervisionati sia modelli di linguaggio basati su reti neurali, e (3) NIL clustering tramite un approccio basato su grafi.This paper describes the framework proposed by the UNIMIB Team for the task of Named Entity Recognition and Linking of Italian Tweets (NEEL-IT). The proposed pipeline, which represents an entry level system, is composed of three main steps: (1) Named Entity Recognition using Conditional Random Fields, (2) Named Entity Linking by considering both Supervised and Neural-Network Language models, and (3) NIL clustering byusing a graph-based approach

Management of bile duct injuries after cholecystectomy: Therapeutic approach and examination of possible sources of error. Report of 2 cases

Background: Bile duct injuries is the primary concern of general surgeons during and after cholecystectomy, with an incidence ranging from 0.08% to 0.4%. Through the description of two cases we intend to discuss the management of most frequent types of bile duct injuries after cholecystectomy and examine some possible sources of error. Case reports: We have treated 2 cases previously operated by other surgical teams. Case report 1: patient undergoing laparoscopic cholecystectomy with lesion of the main bile duct, treated with its reconstruction with positioning of a T-drainage tube. Case report 2: patient with jaundice previously treated for incarcerated incisional hernia and gallbladder stones. We verified the presence of a stenosis of the main bile duct which was resolved with the positioning of a T-tube drainage Discussion: Many descriptions and classifications regarding iatrogenic lesions of the bile duct after cholecystectomy have been described, although some of them represent a good guide on the surgical approach to be adopted, but the surgical skills possessed by the operator remain the most important variables Conclusions: All possible precautions must be considered in order to avoid the possibility of damaging the biliary tree. In our opinion an anterograde approach during cholecystectomy offers greater safety

Speaker-independent emotion recognition exploiting a psychologically-inspired binary cascade classification schema

In this paper, a psychologically-inspired binary cascade classification schema is proposed for speech emotion recognition. Performance is enhanced because commonly confused pairs of emotions are distinguishable from one another. Extracted features are related to statistics of pitch, formants, and energy contours, as well as spectrum, cepstrum, perceptual and temporal features, autocorrelation, MPEG-7 descriptors, Fujisakis model parameters, voice quality, jitter, and shimmer. Selected features are fed as input to K nearest neighborhood classifier and to support vector machines. Two kernels are tested for the latter: Linear and Gaussian radial basis function. The recently proposed speaker-independent experimental protocol is tested on the Berlin emotional speech database for each gender separately. The best emotion recognition accuracy, achieved by support vector machines with linear kernel, equals 87.7%, outperforming state-of-the-art approaches. Statistical analysis is first carried out with respect to the classifiers error rates and then to evaluate the information expressed by the classifiers confusion matrices. © Springer Science+Business Media, LLC 2011

EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020

Welcome to EVALITA 2020! EVALITA is the evaluation campaign of Natural Language Processing and Speech Tools for Italian. EVALITA is an initiative of the Italian Association for Computational Linguistics (AILC, http://www.ai-lc.it) and it is endorsed by the Italian Association for Artificial Intelligence (AIxIA, http://www.aixia.it) and the Italian Association for Speech Sciences (AISV, http://www.aisv.it)

Chronobiological perspective in recurrent T.I.A

An epidemiologic study was conducted from 1979 through 1984 on subjects presenting transitory ischemic attacks (TIA) and admitted into our Institute. We investigated year, season, month, day, and hour of every attack on 80 patients aged between 51 and 88 years. Time-series analysis showed a seasonal pattern of disease onset in early spring. Peaks occurred in March-April, and isolated peaks were also detected in January and October. Concerning TIA-onset day, we observed a peak distribution in the last 10 days of the month. Data on the hour of onset, according to single cosinor (mesor +/- SE = 2.67 + 1.13; amplitude +/- SE = 2.57 + 1.13), yielded a significant (P less than 0.05) acrophase. The acrophase is at -135 degrees (-93 degrees, -245 degrees) for tau = 48 hr

Biodisponibilità e digitale

Messa a punto delle problematiche relative alla biodisponibilità della digitale e alle sue conseguenze clinico-terapeutich

Cronobiologia dell'apparato cardiovascolare

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Neuroendocrine mechanisms of circadian blood pressure variability

Description of the main neuroendocrine mechanisms of temporal blood pressure variability during the 24 hours of the da

L'approccio cronoterapeutico alla patologia cardiovascolare

Descrizione dell'approccio cronoterapeutico alla patologia cardiovascolar