Effective Communication without Verbs? Sure!

Nominal utterances are very frequent, especially in social media texts, and play a crucial role as they are very dense from a semantic point of view. In spite of this, their automatic identification has received little to no attention. We have thus developed a framework for the annotation of nominal utterances and created the manually annotated corpus COSMIANU (Corpus Of Social Media Italian Annotated with Nominal Utterances), which could be used to train automatic systems.Gli enunciati nominali sono un fenomento linguistico molto frequente, specialmente nello scritto dei social media, e di cruciale importanza, data la loro alta densità semantica. Tuttavia, ben poca attenzione è stata dedicata al loro riconoscimento automatico. In quest’ottica, questo lavoro illustra le guidelines per l’annotazione manuale degli enunciati nominali da noi sviluppate e presenta il corpus dell’italiano dei social media da noi annotato con gli enunciati nominali (COSMIANU), utilizzabile per addestrare sistemi automatici

Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018

On behalf of the Program Committee, a very warm welcome to the Fifth Italian Conference on Computational Linguistics (CLiC-­‐it 2018). This edition of the conference is held in Torino. The conference is locally organised by the University of Torino and hosted into its prestigious main lecture hall “Cavallerizza Reale”. The CLiC-­‐it conference series is an initiative of the Italian Association for Computational Linguistics (AILC) which, after five years of activity, has clearly established itself as the premier national forum for research and development in the fields of Computational Linguistics and Natural Language Processing, where leading researchers and practitioners from academia and industry meet to share their research results, experiences, and challenges

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)

Effective Communication without Verbs? Sure! Identification of Nominal Utterances in Italian Social Media Texts

Nominal utterances are very frequent, especially in social media texts, and play a crucial role as they are very dense from a semantic point of view. In spite of this, their automatic identification has received little to no attention. We have thus developed a framework for the anno tation of nominal utterances and created the manually annotated corpus COSMIANU (Corpus Of Social Media Italian Annotated with Nominal Utterances), which could be used to train automatic systems

Ribavirin transporter [Ent1] polymorphism is a pretreatment predictor of virologic response. the specific role of donor liver transporter

The genetic polymorphism of Equilibrative Nucleoside Transporter 1 [ENT1] is involved in ribavirin cellular uptake and it could positively enhance antiviral treatment response. The liver transplant setting offers the unique opportunity to selectively observe the effect(s) of the donor liver ENT1 gene on HCV treatment outcome. We aimed at studying donor polymorphism of ENT1 and HCV therapy outcome in transplanted patients. The role of ribavirin plasma concentration was evaluated. 39 patients after HCV recurrence were included. Genotyping of donor ENT1 and of IL-28B was performed in donor liver samples by RNA PCR. Allelic frequencies of liver ENT1 were: AA 43.6%; AG 28.2%; GG 28.2%. GG genotype was associated with rapid [RR=8; 95% CI 1.6-38; p=0.01] and sustained virological response [RR=9.5; 95% CI 1.6-53; p=0.01]. In multivariate analysis, GG genotype and a ribavirin plasma concentration >2.0 ng/mL at week 12 were independently associated with sustained virological response. In conclusion, the genetic polymorphism of ENT influences treatment response and a pre-treatment determination of its activity could help to predict treatment response in HCV patients