Search Results for author:
Found 12 papers, 1 papers with code
Contextual Unsupervised Clustering of Signs for Ancient Writing Systems
For this reason, any method that attempts to work on ancient scripts needs to be ad-hoc and consider paleographic aspects, in addition to computational ones.
Combining ELECTRA and Adaptive Graph Encoding for Frame Identification
This paper presents contributions in two directions: first we propose a new system for Frame Identification (FI), based on pre-trained text encoders trained discriminatively and graphs embedding, producing state of the art performance and, second, we take in consideration all the extremely different procedures used to evaluate systems for this task performing a complete evaluation over two benchmarks and all possible splits and cleaning procedures used in the FI literature.
The Automatic Extraction of Linguistic Biomarkers as a Viable Solution for the Early Diagnosis of Mental Disorders
Digital Linguistic Biomarkers extracted from spontaneous language productions proved to be very useful for the early detection of various mental disorders.
A Quantum-Like Approach to Word Sense Disambiguation
This paper presents a novel algorithm for Word Sense Disambiguation (WSD) based on Quantum Probability Theory.
Towards Quantum Language Models
This paper presents a new approach for building Language Models using the Quantum Probability Theory, a Quantum Language Model (QLM).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
Automatic identification of Mild Cognitive Impairment through the analysis of Italian spontaneous speech productions
This paper presents some preliminary results of the OPLON project.
Specialising Paragraph Vectors for Text Polarity Detection
This paper presents some experiments for specialising Paragraph Vectors, a new technique for creating text fragment (phrase, sentence, paragraph, text, ...) embedding vectors, for text polarity detection.
AnIta: a powerful morphological analyser for Italian
The experiments results show that the AnIta Morphological Analyser obtains the best performances among the tested systems, with Recall = 97. 21{\%} and Precision = 98. 71{\%}.
A topologic view of Topic and Focus marking in Italian
Regularities in position and level of prosodic prominences associated to patterns of Information Structure are identified for some Italian varieties.
