5 research outputs found
Integrating Terminology Extraction and Word Embedding for Unsupervised Aspect Based Sentiment Analysis
In this paper we explore the advantages that unsupervised terminology extraction can bring to unsupervised Aspect Based Sentiment Analysis methods based on word embedding expansion techniques. We prove that the gain in terms of F-measure is in the order of 3%.Nel presente articolo analizziamo lâinterazione tra syistemi di estrazione âclassicaâ terminologica e systemi basati su techniche di âword embeddingâ nel contesto dellâanalisi delle opinioni. Domostreremo che lâintegrazione di terminogie porta un guadagno in F-measure pari al 3% sul dataset francese di Semeval 2016
Multi-Dimensional Explanation of Target Variables from Documents
Automated predictions require explanations to be interpretable by humans.
Past work used attention and rationale mechanisms to find words that predict
the target variable of a document. Often though, they result in a tradeoff
between noisy explanations or a drop in accuracy. Furthermore, rationale
methods cannot capture the multi-faceted nature of justifications for multiple
targets, because of the non-probabilistic nature of the mask. In this paper, we
propose the Multi-Target Masker (MTM) to address these shortcomings. The
novelty lies in the soft multi-dimensional mask that models a relevance
probability distribution over the set of target variables to handle
ambiguities. Additionally, two regularizers guide MTM to induce long,
meaningful explanations. We evaluate MTM on two datasets and show, using
standard metrics and human annotations, that the resulting masks are more
accurate and coherent than those generated by the state-of-the-art methods.
Moreover, MTM is the first to also achieve the highest F1 scores for all the
target variables simultaneously.Comment: Accepted in AAAI 2021. 18 pages, 14 figures, 9 table
Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018 : 10-12 December 2018, Torino
On behalf of the Program Committee, a very warm welcome to the Fifth Italian Conference on Computational Linguistics (CLiC-Ââit 2018). This edition of the conference is held in Torino. The conference is locally organised by the University of Torino and hosted into its prestigious main lecture hall âCavallerizza Realeâ. The CLiC-Ââit conference series is an initiative of the Italian Association for Computational Linguistics (AILC) which, after five years of activity, has clearly established itself as the premier national forum for research and development in the fields of Computational Linguistics and Natural Language Processing, where leading researchers and practitioners from academia and industry meet to share their research results, experiences, and challenges
Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018
On behalf of the Program Committee, a very warm welcome to the Fifth Italian Conference on Computational Linguistics (CLiC-Ââit 2018). This edition of the conference is held in Torino. The conference is locally organised by the University of Torino and hosted into its prestigious main lecture hall âCavallerizza Realeâ. The CLiC-Ââit conference series is an initiative of the Italian Association for Computational Linguistics (AILC) which, after five years of activity, has clearly established itself as the premier national forum for research and development in the fields of Computational Linguistics and Natural Language Processing, where leading researchers and practitioners from academia and industry meet to share their research results, experiences, and challenges