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Found 23 papers, 0 papers with code
Contextual and Non-Contextual Word Embeddings: an in-depth Linguistic Investigation
In this paper we present a comparison between the linguistic knowledge encoded in the internal representations of a contextual Language Model (BERT) and a contextual-independent one (Word2vec).
Tracking the Evolution of Written Language Competence in L2 Spanish Learners
In this paper we present an NLP-based approach for tracking the evolution of written language competence in L2 Spanish learners using a wide range of linguistic features automatically extracted from students{'} written productions.
Profiling-UD: a Tool for Linguistic Profiling of Texts
In this paper, we introduce Profiling{--}UD, a new text analysis tool inspired to the principles of linguistic profiling that can support language variation research from different perspectives.
``Voices of the Great War'': A Richly Annotated Corpus of Italian Texts on the First World War
{``}Voices of the Great War{''} is the first large corpus of Italian historical texts dating back to the period of First World War.
Invisible to People but not to Machines: Evaluation of Style-aware HeadlineGeneration in Absence of Reliable Human Judgment
We automatically generate headlines that are expected to comply with the specific styles of two different Italian newspapers.
Linguistically-Driven Strategy for Concept Prerequisites Learning on Italian
We present a new concept prerequisite learning method for Learning Object (LO) ordering that exploits only linguistic features extracted from textual educational resources.
Assessing the Impact of Incremental Error Detection and Correction. A Case Study on the Italian Universal Dependency Treebank
For both evaluation datasets, the performance of parsers increases, in terms of the standard LAS and UAS measures and of a more focused measure taking into account only relations involved in error patterns, and at the level of individual dependencies.
Is this Sentence Difficult? Do you Agree?
In this paper, we present a crowdsourcing-based approach to model the human perception of sentence complexity.
Stacked Sentence-Document Classifier Approach for Improving Native Language Identification
In this paper, we describe the approach of the ItaliaNLP Lab team to native language identification and discuss the results we submitted as participants to the essay track of NLI Shared Task 2017.
CItA: an L1 Italian Learners Corpus to Study the Development of Writing Competence
In this paper, we present the CItA corpus (Corpus Italiano di Apprendenti L1), a collection of essays written by Italian L1 learners collected during the first and second year of lower secondary school.
T2K\textasciicircum2: a System for Automatically Extracting and Organizing Knowledge from Texts
In this paper, we present T2K{\textasciicircum}2, a suite of tools for automatically extracting domain―specific knowledge from collections of Italian and English texts.
