Search Results for author: António Branco

Found 16 papers, 5 papers with code

Cost-Effective Language Driven Image Editing with LX-DRIM

1 code implementation MMMPIE (COLING) 2022 Rodrigo Santos, António Branco, João Ricardo Silva

Cross-modal language and image processing is envisaged as a way to improve language understanding by resorting to visual grounding, but only recently, with the emergence of neural architectures specifically tailored to cope with both modalities, has it attracted increased attention and obtained promising results.

Visual Grounding

Assessing Wordnets with WordNet Embeddings

1 code implementation GWC 2019 Ruben Branco, João Rodrigues, Chakaveh Saedi, António Branco

An effective conversion method was proposed in the literature to obtain a lexical semantic space from a lexical semantic graph, thus permitting to obtain WordNet embeddings from WordNets.

Semantic Similarity Semantic Textual Similarity +1

Shortcutted Commonsense: Data Spuriousness in Deep Learning of Commonsense Reasoning

1 code implementation EMNLP 2021 Ruben Branco, António Branco, João António Rodrigues, João Ricardo Silva

Commonsense is a quintessential human capacity that has been a core challenge to Artificial Intelligence since its inception.

Transferring Confluent Knowledge to Argument Mining

1 code implementation COLING 2022 João António Rodrigues, António Branco

Relevant to all application domains where it is important to get at the reasons underlying sentiments and decisions, argument mining seeks to obtain structured arguments from unstructured text and has been addressed by approaches typically involving some feature and/or neural architecture engineering.

Argument Mining Transfer Learning

Universal Grammatical Dependencies for Portuguese with CINTIL Data, LX Processing and CLARIN support

1 code implementation LREC 2022 António Branco, João Ricardo Silva, Luís Gomes, João António Rodrigues

This paper presents a new collection of quality language resources for the computational processing of the Portuguese language under the Universal Dependencies framework (UD).

Pix2Pix-OnTheFly: Leveraging LLMs for Instruction-Guided Image Editing

no code implementations12 Mar 2024 Rodrigo Santos, João Silva, António Branco

The combination of language processing and image processing keeps attracting increased interest given recent impressive advances that leverage the combined strengths of both domains of research.

Image Captioning

Fostering the Ecosystem of Open Neural Encoders for Portuguese with Albertina PT* Family

no code implementations4 Mar 2024 Rodrigo Santos, João Rodrigues, Luís Gomes, João Silva, António Branco, Henrique Lopes Cardoso, Tomás Freitas Osório, Bernardo Leite

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.

Advancing Generative AI for Portuguese with Open Decoder Gervásio PT*

no code implementations29 Feb 2024 Rodrigo Santos, João Silva, Luís Gomes, João Rodrigues, António Branco

To advance the neural decoding of Portuguese, in this paper we present a fully open Transformer-based, instruction-tuned decoder model that sets a new state of the art in this respect.

Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*

no code implementations11 May 2023 João Rodrigues, Luís Gomes, João Silva, António Branco, Rodrigo Santos, Henrique Lopes Cardoso, Tomás Osório

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).

Transfer Learning of Lexical Semantic Families for Argumentative Discourse Units Identification

no code implementations6 Sep 2022 João Rodrigues, Ruben Branco, António Branco

Experimental results show that transfer learning techniques are beneficial to the task and that current methods may be insufficient to leverage commonsense knowledge from different lexical semantic families.

Argument Mining Transfer Learning

Anaphoric Binding: an integrated overview

no code implementations11 Mar 2021 António Branco

This paper provides an integrated overview of these constraints holding on the pairing of nominal anaphors with their admissible antecedents that are based on grammatical relations and structure.

Comparative Probing of Lexical Semantics Theories for Cognitive Plausibility and Technological Usefulness

no code implementations COLING 2020 António Branco, João Rodrigues, Małgorzata Salawa, Ruben Branco, Chakaveh Saedi

Lexical semantics theories differ in advocating that the meaning of words is represented as an inference graph, a feature mapping or a vector space, thus raising the question: is it the case that one of these approaches is superior to the others in representing lexical semantics appropriately?

Merging External Bilingual Pairs into Neural Machine Translation

no code implementations2 Dec 2019 Tao Wang, Shaohui Kuang, Deyi Xiong, António Branco

As neural machine translation (NMT) is not easily amenable to explicit correction of errors, incorporating pre-specified translations into NMT is widely regarded as a non-trivial challenge.

Machine Translation NMT +1

Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings

no code implementations ACL 2018 Shaohui Kuang, Junhui Li, António Branco, Weihua Luo, Deyi Xiong

In neural machine translation, a source sequence of words is encoded into a vector from which a target sequence is generated in the decoding phase.

Machine Translation Sentence +2

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