BlogSet-BR: A Brazilian Portuguese Blog Corpus (L18-1)

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Challenge: Several efforts have been made to build a corpus based on user-generated content . however, there is still a lack of a large semi-structured corpus that also contains author profiles in Brazilian Portuguese.
Approach: They propose to build a Brazilian Portuguese corpus with 2.1 billion words extracted from 7.4 million posts over 808 thousand different Brazilian blogs.
Outcome: The proposed corpus contains 2.1 billion words extracted from 7.4 million posts over 808 thousand different Brazilian blogs.

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The brWaC Corpus: A New Open Resource for Brazilian Portuguese (L18-1)

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Challenge: a large corpus for Brazilian Portuguese is needed for NLP applications . the corpus is 2.7 billion tokens, and domain diversity is maximized .
Approach: They propose to build a large Web corpus for Brazilian Portuguese with 2.7 billion tokens . they also propose an updated sentence-level approach for the strict removal of duplicated content .
Outcome: The proposed corpus is based on a pipeline methodology and is available for querying and downloading.
Building The First English-Brazilian Portuguese Corpus for Automatic Post-Editing (2020.coling-main)

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Challenge: Existing corpus for automatic post-editing of English and Brazilian Portuguese is limited.
Approach: They introduce a corpus for Automatic Post-Editing of English and Brazilian Portuguese.
Outcome: The proposed corpus improves on the English and Brazilian Portuguese languages.
Live Blog Corpus for Summarization (L18-1)

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Challenge: Live blogs are increasingly popular news format to cover breaking news and live events.
Approach: They propose to collect corpora for automatic live blog summarization by a web-based system . they make the tools publicly available to encourage the research community .
Outcome: The proposed method improves the accuracy of live blog summarization by allowing for public access to the corpus.
Towards AMR-BR: A SemBank for Brazilian Portuguese Language (L18-1)

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Challenge: Abstract Meaning Representation (AMR) is a recent and prominent meaning representation with good acceptance and several applications in the Natural Language Processing area.
Approach: They propose to build an AMR annotated corpus for Brazilian Portuguese using an alignment-based approach.
Outcome: The proposed corpus is based on the Little Prince book, which went into the public domain and explored some language-specific annotation issues.
Back-Translation as Strategy to Tackle the Lack of Corpus in Natural Language Generation from Semantic Representations (D19-63)

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Challenge: Abstract Meaning Representation and Brazilian Portuguese (BP) are selected as semantic representation and language, respectively.
Approach: They propose to use Brazilian Portuguese and Abstract Meaning Representation as semantic representations for NLG.
Outcome: The proposed methods were evaluated on two datasets (one automatically generated and another human-generated) to compare the performance in a real context.
The Multilingual Microblog Translation Corpus: Improving and Evaluating Translation of User-Generated Text (2022.lrec-1)

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Challenge: a corpus of over 200,000 microblog translations supports translation of thirteen languages into English . large collections of parallel text, or bitext, are increasingly available in many languages .
Approach: They propose a corpus of over 200,000 microblog posts that supports translation of thirteen languages into English.
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Building a Corpus for Personality-dependent Natural Language Understanding and Generation (L18-1)

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Challenge: The computational treatment of human personality is central to the development of NLP applications.
Approach: They propose to use the b5 corpus to generate controlled and free (non-topic specific) texts . preliminary results of personality recognition from text are presented .
Outcome: The proposed corpus is the largest resource of this kind to be made available for research purposes in the Brazilian Portuguese language.
Natural Language Generation: Recently Learned Lessons, Directions for Semantic Representation-based Approaches, and the Case of Brazilian Portuguese Language (P19-2)

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Challenge: Natural Language Generation (NLG) is a promising area in Natural Language Processing (NLP) .
Approach: They present a review of the literature on Natural Language Generation in Brazilian Portuguese.
Outcome: The proposed approaches are based on the Abstract Meaning Representation formalism and have potential future directions.
The DReaM Corpus: A Multilingual Annotated Corpus of Grammars for the World’s Languages (2020.lrec-1)

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Challenge: Until recently, language descriptions were available in paper form only, with indexes as the only search aid.
Approach: They propose to digitize a multilingual corpus of language descriptions and annotate it with various meta, word, and text attributes to make searching and analysis easier and more useful.
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Beyond Metadata: What Paper Authors Say About Corpora They Use (2021.findings-acl)

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Challenge: Currently, dataset retrieval relies almost exclusively on metadata provided by the publishers.
Approach: They propose to use metadata to extract review statements from scientific publications . they argue that a crucial piece of information is missing to inform the examination of search results .
Outcome: The proposed analysis is the first of its kind in the field of Natural Language Processing.

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