1 |
The corpora they are a-changing: a case study in Italian newspapers
|
|
|
|
In: Basile, Pierpaolo orcid:0000-0002-0545-1105 , Caputo, Annalina orcid:0000-0002-7144-8545 , Caselli, Tommaso orcid:0000-0003-2936-0256 , Cassotti, Pierluigi and Varvara, Rossella orcid:0000-0001-9957-2807 (2021) The corpora they are a-changing: a case study in Italian newspapers. In: 2nd International Workshop on Computational Approaches to Historical Language Change 2021, Online. (2021)
|
|
BASE
|
|
Show details
|
|
2 |
Extracting Relations from Italian Wikipedia using Self-Training ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
DUKweb: Diachronic word representations from the UK Web Archive corpus ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Extracting Relations from Italian Wikipedia using Self-Training ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Extracting Relations from Italian Wikipedia using Self-Training ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
DUKweb: Diachronic word representations from the UK Web Archive corpus ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
DIACR-Ita @ EVALITA2020: overview of the EVALITA2020 DiachronicLexical semantics (DIACR-Ita) task
|
|
|
|
In: Basile, Pierpaolo, Caputo, Annalina orcid:0000-0002-7144-8545 , Caselli, Tommaso orcid:0000-0003-2936-0256 , Cassotti, Pierluigi and Varvara, Rossella orcid:0000-0001-9957-2807 (2020) DIACR-Ita @ EVALITA2020: overview of the EVALITA2020 DiachronicLexical semantics (DIACR-Ita) task. In: Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian, 17 Dec 2020, Online. (2020)
|
|
BASE
|
|
Show details
|
|
8 |
A diachronic Italian corpus based on “L’Unit`a”
|
|
|
|
In: Basile, Pierpaolo, Caputo, Annalina orcid:0000-0002-7144-8545 , Caselli, Tommaso orcid:0000-0003-2936-0256 , Cassotti, Pierluigi and Varvara, Rossella orcid:0000-0001-9957-2807 (2020) A diachronic Italian corpus based on “L’Unit`a”. In: Seventh Italian Conference on Computational Linguistics, 1-3 Mar 2021, Bologna (Online). (2020)
|
|
BASE
|
|
Show details
|
|
9 |
GM-CTSC at SemEval-2020 Task 1: Gaussian mixtures cross temporal similarity clustering
|
|
|
|
In: Cassotti, Pierluigi, Caputo, Annalina orcid:0000-0002-7144-8545 , Polignano, Marco orcid:0000-0002-3939-0136 and Basile, Pierpaolo orcid:0000-0002-0545-1105 (2020) GM-CTSC at SemEval-2020 Task 1: Gaussian mixtures cross temporal similarity clustering. In: Fourteenth Workshop on Semantic Evaluation, Dec 2020, Barcelona (Online). (2020)
|
|
BASE
|
|
Show details
|
|
10 |
GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Diachronic Analysis of Entities by Exploiting Wikipedia Page revisions ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Diachronic Analysis of Entities by Exploiting Wikipedia Page revisions ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Exploiting the Web for Semantic Change Detection
|
|
McGillivray, Barbara; Basile, Pierpaolo. - : Springer Link, 2018. : https://link.springer.com/chapter/10.1007/978-3-030-01771-2_13#aboutcontent, 2018. : 21st International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings, 2018
|
|
BASE
|
|
Show details
|
|
16 |
Entity linking for Tweets
|
|
|
|
In: Basile, Pierpaolo orcid:0000-0002-0545-1105 and Caputo, Annalina orcid:0000-0002-7144-8545 (2017) Entity linking for Tweets. Encyclopedia with Semantic Computing and Robotic Intelligence, 1 (1). pp. 1-9. ISSN 2529-7376 (2017)
|
|
BASE
|
|
Show details
|
|
17 |
EVALITA Goes Social: Tasks, Data, and Community at the 2016 Edition
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Argument Mining on Italian News Blogs
|
|
|
|
In: Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016) ; https://hal.inria.fr/hal-01414698 ; Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016), Dec 2016, Naples, Italy (2016)
|
|
Abstract:
International audience ; The goal of argument mining is to extract structured information, namely the arguments and their relations, from un-structured text. In this paper, we propose an approach to argument relation prediction based on supervised learning of linguistic and semantic features of the text. We test our method on the CorEA corpus of user comments to online newspaper articles, evaluating our system's performances in assigning the correct relation, i.e., support or attack, to pairs of arguments. We obtain results consistently better than a sentiment analysis-based base-line (over two out three correctly classified pairs), and we observe that sentiment and lexical semantics are the most informative features with respect to the relation prediction task. ; L'estrazione automatica di argomenti ha come scopo recuperare informazione strutturata, in particolare gli argomenti e le loro relazioni, a partire da testo semplice. In questo con-tributo proponiamo un metodo di predizione delle relazioni tra argomenti basato sull'apprendimento supervisionato di feature linguistiche e semantiche del testo. Il metodò e testato sul corpus di commenti di news CorEA, edèed`edè valutata la capacità del sistema di classificare le relazioni di supporto ed attacco tra coppie di argomenti. I risultati ottenuti sono superiori ad una baseline basata sulla sola analisi del sentimento (oltre due coppie di argomenti su trè e classificata correttamente) ed osserviamo che il sentimento e la semantica lessicale sono gli indicatoripì u informativi per la predizione delle relazioni tra argomenti.
|
|
Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [INFO.INFO-WB]Computer Science [cs]/Web; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; Argument mining; Natural language processig; Social media data mining
|
|
URL: https://hal.inria.fr/hal-01414698 https://hal.inria.fr/hal-01414698/file/paper8.pdf https://hal.inria.fr/hal-01414698/document
|
|
BASE
|
|
Hide details
|
|
19 |
EVALITA 2016: Overview of the 5th evaluation campaign of natural language processing and speech tools for Italian
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Overview of the EVALITA 2016 Named Entity rEcognition and Linking in Italian Tweets (NEEL-IT) Task
|
|
|
|
BASE
|
|
Show details
|
|
|
|