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pro vyhledávání: '"Furman, Damián"'
Autor:
Valentini, Francisco, Cotik, Viviana, Furman, Damián, Bercovich, Ivan, Altszyler, Edgar, Pérez, Juan Manuel
Information retrieval (IR) is the task of finding relevant documents in response to a user query. Although Spanish is the second most spoken native language, current IR benchmarks lack Spanish data, hindering the development of information access too
Externí odkaz:
http://arxiv.org/abs/2409.05994
Autor:
Furman, Damián Ariel, Junqueras, Juan, Gümüslü, Z. Burçe, Altszyler, Edgar, Navajas, Joaquin, Deroy, Ophelia, Sulik, Justin
We present Reasons For and Against Vaccination (RFAV), a dataset for predicting reasons for and against vaccination, and scientific authorities used to justify them, annotated through nichesourcing and augmented using GPT4 and GPT3.5-Turbo. We show h
Externí odkaz:
http://arxiv.org/abs/2406.19951
Autor:
Furman, Damián, Torres, Pablo, Rodríguez, José A., Letzen, Diego, Martínez, Vanina, Alemany, Laura Alonso
With the increasing diversity of use cases of large language models, a more informative treatment of texts seems necessary. An argumentative analysis could foster a more reasoned usage of chatbots, text completion mechanisms or other applications. Ho
Externí odkaz:
http://arxiv.org/abs/2306.02978
Autor:
Salgueiro, Tomás Alves, Zapata, Emilio Recart, Furman, Damián, Pérez, Juan Manuel, Larrosa, Pablo Nicolás Fernández
Subjective texts have been studied by several works as they can induce certain behaviours in their users. Most work focuses on user-generated texts in social networks, but some other texts also comprise opinions on certain topics and could influence
Externí odkaz:
http://arxiv.org/abs/2208.13947
Autor:
Furman, Damian A., Torres, Pablo, Rodriguez, Jose A., Martinez, Lautaro, Alemany, Laura Alonso, Letzen, Diego, Martinez, Maria Vanina
We present an enrichment of the Hateval corpus of hate speech tweets (Basile et. al 2019) aimed to facilitate automated counter-narrative generation. Comparably to previous work (Chung et. al. 2019), manually written counter-narratives are associated
Externí odkaz:
http://arxiv.org/abs/2208.01099
Since BERT appeared, Transformer language models and transfer learning have become state-of-the-art for Natural Language Understanding tasks. Recently, some works geared towards pre-training specially-crafted models for particular domains, such as sc
Externí odkaz:
http://arxiv.org/abs/2111.09453
Autor:
Pérez, Juan Manuel, Rajngewerc, Mariela, Giudici, Juan Carlos, Furman, Damián A., Luque, Franco, Alemany, Laura Alonso, Martínez, María Vanina
In recent years, the extraction of opinions and information from user-generated text has attracted a lot of interest, largely due to the unprecedented volume of content in Social Media. However, social researchers face some issues in adopting cutting
Externí odkaz:
http://arxiv.org/abs/2106.09462
Akademický článek
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Autor:
Bernal, Franco Agustín, Salgueiro, Tomás Alves, Brzostowski, Axel, Zapata, Emilio Recart, Carames, Ayelén, Pérez, Juan Manuel, Furman, Damián, Graziano, Martín, Larrosa, Pablo Nicolás Fernández
Publikováno v:
Scientific Reports; 10/25/2022, Vol. 12 Issue 1, p1-17, 17p
