Search Results for author:
Found 12 papers, 3 papers with code
swapUNIBA@FinTOC2022: Fine-tuning Pre-trained Document Image Analysis Model for Title Detection on the Financial Domain
We address the task using a two-stage process: first, we detect titles using Document Image Analysis, then we train a supervised model for the hierarchical level prediction.
An NLP Approach for the Analysis of Global Reporting Initiative Indexes from Corporate Sustainability Reports
Sustainability reporting has become an annual requirement in many countries and for certain types of companies.
LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language
By leveraging an open science philosophy, this study contributes to Language Adaptation strategies for the Italian language by introducing the novel LLaMAntino family of Italian LLMs.
Diachronic Analysis of Entities by Exploiting Wikipedia Page revisions
In the last few years, the increasing availability of large corpora spanning several time periods has opened new opportunities for the diachronic analysis of language.
SWAP at SemEval-2019 Task 3: Emotion detection in conversations through Tweets, CNN and LSTM deep neural networks
Each conversation has been formalized as a list of word embeddings, in particular during experimental runs pre-trained Glove and Google word embeddings have been evaluated.
Centroid-based Text Summarization through Compositionality of Word Embeddings
The textual similarity is a crucial aspect for many extractive text summarization methods.
Iterative Multi-document Neural Attention for Multiple Answer Prediction
People have information needs of varying complexity, which can be solved by an intelligent agent able to answer questions formulated in a proper way, eventually considering user context and preferences.
