Search Results for author:
Found 12 papers, 3 papers with code
Annotating Arguments in a Corpus of Opinion Articles
Interest in argument mining has resulted in an increasing number of argument annotated corpora.
PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for the Neural Processing of Portuguese
Similarly, the respective fine-tuned neural language models, developed with a low-rank adaptation approach, are made available as baselines that can stimulate future work on the neural processing of Portuguese.
On Few-Shot Prompting for Controllable Question-Answer Generation in Narrative Comprehension
A controllable question generation scheme focuses on generating questions with specific attributes, allowing better control.
Fostering the Ecosystem of Open Neural Encoders for Portuguese with Albertina PT* Family
To foster the neural encoding of Portuguese, this paper contributes foundation encoder models that represent an expansion of the still very scarce ecosystem of large language models specifically developed for this language that are fully open, in the sense that they are open source and openly distributed for free under an open license for any purpose, thus including research and commercial usages.
Towards Enriched Controllability for Educational Question Generation
Question Generation (QG) is a task within Natural Language Processing (NLP) that involves automatically generating questions given an input, typically composed of a text and a target answer.
Cross-Genre Argument Mining: Can Language Models Automatically Fill in Missing Discourse Markers?
We demonstrate the impact of our approach on an Argument Mining downstream task, evaluated on different corpora, showing that language models can be trained to automatically fill in discourse markers across different corpora, improving the performance of a downstream model in some, but not all, cases.
Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
To advance the neural encoding of Portuguese (PT), and a fortiori the technological preparation of this language for the digital age, we developed a Transformer-based foundation model that sets a new state of the art in this respect for two of its variants, namely European Portuguese from Portugal (PT-PT) and American Portuguese from Brazil (PT-BR).
Complaint Analysis and Classification for Economic and Food Safety
Governmental institutions are employing artificial intelligence techniques to deal with their specific problems and exploit their huge amounts of both structured and unstructured information.
On Sentence Representations for Propaganda Detection: From Handcrafted Features to Word Embeddings
Bias is ubiquitous in most online sources of natural language, from news media to social networks.
A Comparative Analysis of Unsupervised Language Adaptation Methods
Otherwise, sentence encoder alignment methods are very effective and can yield scores on the target language that are close to the source language scores.
Team Fernando-Pessa at SemEval-2019 Task 4: Back to Basics in Hyperpartisan News Detection
On the main task, our model achieved an accuracy of 71. 7{\%}, which was improved after the task{'}s end to 72. 9{\%}.
Cross-Lingual Argumentative Relation Identification: from English to Portuguese
Argument mining aims to detect and identify argument structures from textual resources.
