A Qualitative Analysis of a Corpus of Opinion Summaries based on Aspects

López, Roque; Pardo, Thiago Alexandre Salgueiro; Avanço, Lucas; Filho, Pedro Balage; Bokan, Alessandro; Cardoso, Paula Christina Figueira; Dias, Márcio; Nóbrega, Fernando Antônio Asevedo; Cabezudo, Marco Antonio Sobrevilla; Souza, Jackson W. C.; Zacarias, Andressa C. I.; Seno, Eloize; Felippo, Ariani Di

doi:10.3115/v1/w15-1607

Cited by 3 publications

(3 citation statements)

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“…In its turn, the OpiSums-PT-AMR corpus comprises 404 manually annotated sentences from the OpiSums-PT (López Condori et al, 2015) corpus, which was created based on comments about 13 books -originally from the ReLi corpus (Freitas et al, 2014) -alongside opinions concerning four electronic products obtained from the Buscapé 15 e-commerce website. Each product has 10 comments with multiple sentences each.…”

Section: General Descriptionmentioning

confidence: 99%

“…Furthermore, this initiative provides data to be used in future research within the Sentiment Analysis area, as semantic knowledge can be an important feature to be taken into account in this type of processing, as argued by Cambria et al (2015). To this extent, we used as basis the OpiSums-PT corpus (López Condori et al, 2015), comprising 1,502 sentences from comments about 17 different products, among which 404 have been annotated in AMR within the scope of this paper.…”

Section: Introductionmentioning

confidence: 99%

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The AMR-PT corpus and the semantic annotation of challenging sentences from journalistic and opinion texts

Inácio,

Cabezudo,

Ramisch

et al. 2023

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One of the most popular semantic representation languages in Natural Language Processing (NLP) is Abstract Meaning Representation (AMR). This formalism encodes the meaning of single sentences in directed rooted graphs. For English, there is a large annotated corpus that provides qualitative and reusable data for building or improving existing NLP methods and applications. For building AMR corpora for non-English languages, including Brazilian Portuguese, automatic and manual strategies have been conducted. The automatic annotation methods are essentially based on the cross-linguistic alignment of parallel corpora and the inheritance of the AMR annotation. The manual strategies focus on adapting the AMR English guidelines to a target language. Both annotation strategies have to deal with some phenomena that are challenging. This paper explores in detail some characteristics of Portuguese for which the AMR model had to be adapted and introduces two annotated corpora: AMRNews, a corpus of 870 annotated sentences from journalistic texts, and OpiSums-PT-AMR, comprising 404 opinionated sentences in AMR.

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Section: General Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The AMR-PT corpus and the semantic annotation of challenging sentences from journalistic and opinion texts

Inácio,

Cabezudo,

Ramisch

et al. 2023

DELTA

View full text Add to dashboard Cite

show abstract

“…In its turn, the OpiSums-PT-AMR corpus comprises 404 manually annotated sentences from the OpiSums-PT (López Condori et al, 2015) corpus, which was created based on comments about 13 books -originally from the ReLi corpus (Freitas et al, 2014) -alongside opinions concerning four electronic products obtained from the Buscapé 9 e-commerce website. Each product has 10 comments with multiple sentences each.…”

Section: General Descriptionmentioning

confidence: 99%

Geração de linguagem natural por meio de representações semânticas abstratas para o português do Brasil

Cabezudo¹

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This work is dedicated to my lovely family, mi wife Katherine Vasquez, my daughter Natalia Sobrevilla, my mother Angela Cabezudo, my sister Mayra Sobrevilla, my mamita Victoria Carrizales, and my uncle Cesar Cabezudo. Besides, I dedicate this work to all future PhD students who feel they have lost their way along their own research. You will arrive at the correct place, be patient and keep researching!To my life partner, my wife and my best friend, Katherine Vasquez, who supported me unconditionally all this time. You resisted so many work nights and times in which, despite being present, I was a bit absent. I also would like to thank my beautiful daughter, Natalia, you are the best thing that happened to me, and you have been my impulse to give the best of me in this last period.To my family who, despite the distance, were always with me encouraging me on this long walk (and asking every day: "Are you going to finish your thesis soon?"). To my mom Angela Cabezudo, my sister Mayra Sobrevilla, my "mamita" Victoria Carrizales, my uncle Cesar Cabezudo, my dad Mauro Sobrevilla and Iván Ferrer. You are the best family I could have had.To my advisor, prof. Dr. Thiago Alexandre Salgueiro Pardo, for the guidance, the learning acquired, his good cheer and patience. For cheering me up when I felt lost and accepting me again as his student after the master :)To my friends from the Methodist Church in São Carlos because they have been my family during these years. I want to thank the pastors, Levi Pereira, Gilson Sales and Nuria Lisboa and the members of the church :). In particular, I would also like to thank José Mendoza,

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