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https://hdl.handle.net/10216/160225| Author(s): | Cunha, Luís Filipe Silvano, Maria da Purificação Campos, Ricardo Jorge, Alípio |
| Title: | ACE-2005-PT: corpus for event extraction in portuguese |
| Issue Date: | 2024 |
| Abstract: | Event extraction is an NLP task that commonly involves identifying the central word (trigger) for an event and its associated arguments in text. ACE-2005 is widely recognised as the standard corpus in this field. While other corpora, like PropBank, primarily focus on annotating predicate-argument structure, ACE-2005 provides comprehensive information about the overall event structure and semantics. However, its limited language coverage restricts its usability. This paper introduces ACE-2005-PT, a corpus created by translating ACE-2005 into Portuguese, with European and Brazilian variants. To speed up the process of obtaining ACE-2005-PT, we rely on automatic translators. This, however, poses some challenges related to automatically identifying the correct alignments between multi-word annotations in the original text and in the corresponding translated sentence. To achieve this, we developed an alignment pipeline that incorporates several alignment techniques: lemmatization, fuzzy matching, synonym matching, multiple translations and a BERT-based word aligner. To measure the alignment effectiveness, a subset of annotations from the ACE-2005-PT corpus was manually aligned by a linguist expert. This subset was then compared against our pipeline results which achieved exact and relaxed match scores of 70.55% and 87.55% respectively. As a result, we successfully generated a Portuguese version of the ACE-2005 corpus, which has been accepted for publication by LDC. |
| DOI: | 10.1145/3626772.3657872 |
| URI: | https://hdl.handle.net/10216/160225 |
| Document Type: | Artigo em Revista Científica Internacional |
| Rights: | openAccess |
| Appears in Collections: | FCUP - Artigo em Revista Científica Internacional FLUP - Artigo em Revista Científica Internacional |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 680705.pdf | 1.27 MB | Adobe PDF | ![]() View/Open |
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