Building Sentiment Lexicons for Mainland Scandinavian Languages Using Machine Translation and Sentence Embeddings

no code implementations • LREC 2022 • Peng Liu, Cristina Marco, Jon Atle Gulla

This method benefits from the English Sentiwordnet and a thesaurus in one of the target languages.

Machine Translation Sentence +4

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.

Clustering Natural Language Understanding

NTNU-1@ScienceIE at SemEval-2017 Task 10: Identifying and Labelling Keyphrases with Conditional Random Fields

no code implementations • SEMEVAL 2017 • Erwin Marsi, Utpal Kumar Sikdar, Cristina Marco, Biswanath Barik, Rune S{\ae}tre

We present NTNU{'}s systems for Task A (prediction of keyphrases) and Task B (labelling as Material, Process or Task) at SemEval 2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications (Augenstein et al., 2017).

Dependency Parsing Named Entity Recognition (NER) +1

Political News Sentiment Analysis for Under-resourced Languages

no code implementations • COLING 2016 • Patrik F. Bakken, Terje A. Bratlie, Cristina Marco, Jon Atle Gulla

This paper presents classification results for the analysis of sentiment in political news articles.

General Classification Negation +1