Search Results for author: Francesco Barbieri

Found 30 papers, 13 papers with code

PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning

1 code implementation15 Nov 2023 Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri

Instruction tuning has remarkably advanced large language models (LLMs) in understanding and responding to diverse human instructions.

Instruction Following

Context-Aware Prediction of User Engagement on Online Social Platforms

no code implementations23 Oct 2023 Heinrich Peters, Yozen Liu, Francesco Barbieri, Raiyan A. Baten, Sandra C. Matz, Maarten W. Bos

The success of online social platforms hinges on their ability to predict and understand user behavior at scale.

Privacy Preserving

Tweet Insights: A Visualization Platform to Extract Temporal Insights from Twitter

no code implementations4 Aug 2023 Daniel Loureiro, Kiamehr Rezaee, Talayeh Riahi, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, Jose Camacho-Collados

This paper introduces a large collection of time series data derived from Twitter, postprocessed using word embedding techniques, as well as specialized fine-tuned language models.

Time Series

SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis

no code implementations3 Oct 2022 Jiaxin Pei, Vítor Silva, Maarten Bos, Yozon Liu, Leonardo Neves, David Jurgens, Francesco Barbieri

We propose MINT, a new Multilingual INTimacy analysis dataset covering 13, 372 tweets in 10 languages including English, French, Spanish, Italian, Portuguese, Korean, Dutch, Chinese, Hindi, and Arabic.

Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning

1 code implementation CVPR 2022 Ligong Han, Jian Ren, Hsin-Ying Lee, Francesco Barbieri, Kyle Olszewski, Shervin Minaee, Dimitris Metaxas, Sergey Tulyakov

In addition, our model can extract visual information as suggested by the text prompt, e. g., "an object in image one is moving northeast", and generate corresponding videos.

Self-Learning Text Augmentation +1

Efficient Learning of Less Biased Models with Transfer Learning

no code implementations1 Jan 2021 Xisen Jin, Francesco Barbieri, Leonardo Neves, Xiang Ren

Prediction bias in machine learning models, referring to undesirable model behaviors that discriminates inputs mentioning or produced by certain group, has drawn increasing attention from the research community given its societal impact.

Transfer Learning

The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks

1 code implementation COLING 2020 Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves

Contextual embeddings derived from transformer-based neural language models have shown state-of-the-art performance for various tasks such as question answering, sentiment analysis, and textual similarity in recent years.

Question Answering Sentiment Analysis

On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning

no code implementations NAACL 2021 Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, Xiang Ren

Fine-tuned language models have been shown to exhibit biases against protected groups in a host of modeling tasks such as text classification and coreference resolution.

coreference-resolution Fairness +6

Interpretable Emoji Prediction via Label-Wise Attention LSTMs

no code implementations EMNLP 2018 Francesco Barbieri, Luis Espinosa-Anke, Jose Camacho-Collados, Steven Schockaert, Horacio Saggion

Human language has evolved towards newer forms of communication such as social media, where emojis (i. e., ideograms bearing a visual meaning) play a key role.

Emotion Recognition Information Retrieval +3

How Gender and Skin Tone Modifiers Affect Emoji Semantics in Twitter

1 code implementation SEMEVAL 2018 Francesco Barbieri, Jose Camacho-Collados

Our analyses reveal that some stereotypes related to the skin color and gender seem to be reflected on the use of these modifiers.

Word Embeddings

Exploring Emoji Usage and Prediction Through a Temporal Variation Lens

no code implementations2 May 2018 Francesco Barbieri, Luis Marujo, Pradeep Karuturi, William Brendel, Horacio Saggion

The frequent use of Emojis on social media platforms has created a new form of multimodal social interaction.

Multimodal Emoji Prediction

1 code implementation NAACL 2018 Francesco Barbieri, Miguel Ballesteros, Francesco Ronzano, Horacio Saggion

Emojis are small images that are commonly included in social media text messages.

Are Emojis Predictable?

3 code implementations EACL 2017 Francesco Barbieri, Miguel Ballesteros, Horacio Saggion

Emojis are ideograms which are naturally combined with plain text to visually complement or condense the meaning of a message.

Modelling Irony in Twitter: Feature Analysis and Evaluation

no code implementations LREC 2014 Francesco Barbieri, Horacio Saggion

We propose in this paper a new set of experiments to assess the relevance of the features included in our model.

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