Search Results for author: Enrico Palumbo

Found 3 papers, 1 papers with code

Semantic Diversity for Natural Language Understanding Evaluation in Dialog Systems

no code implementations COLING 2020 Enrico Palumbo, Andrea Mezzalira, Cristina Marco, Alessandro Manzotti, Daniele Amberti

In this paper, we introduce the task of generating a test set with high semantic diversity for NLU evaluation in dialog systems and we describe an approach to address it.

Natural Language Understanding

Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems

1 code implementation11 Oct 2018 Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio Morisio

In this paper, we present sequeval, a software tool capable of performing the offline evaluation of a recommender system designed to suggest a sequence of items.

Information Retrieval

SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification

no code implementations SEMEVAL 2017 Rapha{\"e}l Troncy, Enrico Palumbo, Efstratios Sygkounas, Giuseppe Rizzo

In this paper, we describe the participation of the SentiME++ system to the SemEval 2017 Task 4A {``}Sentiment Analysis in Twitter{''} that aims to classify whether English tweets are of positive, neutral or negative sentiment.

General Classification Sentiment Analysis

Cannot find the paper you are looking for? You can Submit a new open access paper.