Annalina Caputo


2020

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GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering
Pierluigi Cassotti | Annalina Caputo | Marco Polignano | Pierpaolo Basile
Proceedings of the Fourteenth Workshop on Semantic Evaluation

This paper describes the system proposed by the Random team for SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection. We focus our approach on the detection problem. Given the semantics of words captured by temporal word embeddings in different time periods, we investigate the use of unsupervised methods to detect when the target word has gained or lost senses. To this end, we define a new algorithm based on Gaussian Mixture Models to cluster the target similarities computed over the two periods. We compare the proposed approach with a number of similarity-based thresholds. We found that, although the performance of the detection methods varies across the word embedding algorithms, the combination of Gaussian Mixture with Temporal Referencing resulted in our best system.

2019

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Diachronic Analysis of Entities by Exploiting Wikipedia Page revisions
Pierpaolo Basile | Annalina Caputo | Seamus Lawless | Giovanni Semeraro
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)

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. This type of analysis can bring to the light not only linguistic phenomena related to the shift of word meanings over time, but it can also be used to study the impact that societal and cultural trends have on this language change. This paper introduces a new resource for performing the diachronic analysis of named entities built upon Wikipedia page revisions. This resource enables the analysis over time of changes in the relations between entities (concepts), surface forms (words), and the contexts surrounding entities and surface forms, by analysing the whole history of Wikipedia internal links. We provide some useful use cases that prove the impact of this resource on diachronic studies and delineate some possible future usage.

2015

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UNIBA: Combining Distributional Semantic Models and Sense Distribution for Multilingual All-Words Sense Disambiguation and Entity Linking
Pierpaolo Basile | Annalina Caputo | Giovanni Semeraro
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

2014

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UNIBA: Combining Distributional Semantic Models and Word Sense Disambiguation for Textual Similarity
Pierpaolo Basile | Annalina Caputo | Giovanni Semeraro
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)

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An Enhanced Lesk Word Sense Disambiguation Algorithm through a Distributional Semantic Model
Pierpaolo Basile | Annalina Caputo | Giovanni Semeraro
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers

2013

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UNIBA-CORE: Combining Strategies for Semantic Textual Similarity
Annalina Caputo | Pierpaolo Basile | Giovanni Semeraro
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity

2012

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UNIBA: Distributional Semantics for Textual Similarity
Annalina Caputo | Pierpaolo Basile | Giovanni Semeraro
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)

2011

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Encoding syntactic dependencies by vector permutation
Pierpaolo Basile | Annalina Caputo | Giovanni Semeraro
Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics