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Found 14 papers, 2 papers with code
Content Selection for Explanation Requests in Customer-Care Domain
This paper describes a content selection module for the generation of explanations in a dialogue system designed for customer care domain.
Annotating Errors and Emotions in Human-Chatbot Interactions in Italian
This paper describes a novel annotation scheme specifically designed for a customer-service context where written interactions take place between a given user and the chatbot of an Italian telecommunication company.
Multilingual Irony Detection with Dependency Syntax and Neural Models
This paper presents an in-depth investigation of the effectiveness of dependency-based syntactic features on the irony detection task in a multilingual perspective (English, Spanish, French and Italian).
Treebanking User-Generated Content: a UD Based Overview of Guidelines, Corpora and Unified Recommendations
This article presents a discussion on the main linguistic phenomena which cause difficulties in the analysis of user-generated texts found on the web and in social media, and proposes a set of annotation guidelines for their treatment within the Universal Dependencies (UD) framework of syntactic analysis.
Treebanking User-Generated Content: A Proposal for a Unified Representation in Universal Dependencies
The paper presents a discussion on the main linguistic phenomena of user-generated texts found in web and social media, and proposes a set of annotation guidelines for their treatment within the Universal Dependencies (UD) framework.
Marking Irony Activators in a Universal Dependencies Treebank: The Case of an Italian Twitter Corpus
In this paper we describe a fine-grained annotation scheme centered on irony, in which we highlight the tokens that are responsible for its activation, (irony activators) and their morpho-syntactic features.
SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter
The paper describes the organization of the SemEval 2019 Task 5 about the detection of hate speech against immigrants and women in Spanish and English messages extracted from Twitter.
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets.
Exploiting catenae in a parallel treebank alignment
This paper aims to introduce the issues related to the syntactic alignment of a dependency-based multilingual parallel treebank, ParTUT.
The Parallel-TUT: a multilingual and multiformat treebank
The paper introduces an ongoing project for the development of a parallel treebank for Italian, English and French, i. e.
