ACE-2005-PT: Corpus for Event Extraction in Portuguese
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 6 of its 20 references that are in the map. First posted on arXiv 29 Aug 2024.
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6 of 20 references.
References · 6
- 2017Attention Is All You Needcited by 59,932
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2020Event Extraction by Answering (Almost) Natural Questionscited by 177
- 2021Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extractioncited by 129
- 2019Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answeringcited by 35
- 2020Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networkscited by 6
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