Federico Bianchi

DeepAI AI Chat

Featured Co-authors

James Zou
114 publications
Dan Jurafsky
72 publications
Pasquale Minervini
37 publications
Tatsunori Hashimoto
32 publications
Anne Lauscher
26 publications
Dirk Hovy
25 publications
Jacopo Tagliabue
25 publications
Pascal Hitzler
24 publications
Faisal Ladhak
21 publications
Derek Doran
20 publications
Esin Durmus
19 publications

research

∙ 04/20/2023

E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems

Recommender Systems today are still mostly evaluated in terms of accurac...

0 Patrick John Chia, et al. ∙

research

∙ 04/14/2023

EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments

EvalRS aims to bring together practitioners from industry and academia t...

0 Federico Bianchi, et al. ∙

research

∙ 12/18/2022

Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion

Increasingly taking place in online spaces, modern political conversatio...

0 Rishav Hada, et al. ∙

research

∙ 11/08/2022

SocioProbe: What, When, and Where Language Models Learn about Sociodemographics

Pre-trained language models (PLMs) have outperformed other NLP models on...

0 Anne Lauscher, et al. ∙

research

∙ 11/07/2022

Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale

Machine learning models are now able to convert user-written text descri...

0 Federico Bianchi, et al. ∙

research

∙ 10/28/2022

"It's Not Just Hate”: A Multi-Dimensional Perspective on Detecting Harmful Speech Online

Well-annotated data is a prerequisite for good Natural Language Processi...

0 Federico Bianchi, et al. ∙

research

∙ 10/26/2022

ProSiT! Latent Variable Discovery with PROgressive SImilarity Thresholds

The most common ways to explore latent document dimensions are topic mod...

0 Tommaso Fornaciari, et al. ∙

research

∙ 10/20/2022

Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages

Hate speech is a global phenomenon, but most hate speech datasets so far...

1 Paul Röttger, et al. ∙

research

∙ 10/13/2022

Is It Worth the (Environmental) Cost? Limited Evidence for the Benefits of Diachronic Continuous Training

Language is constantly changing and evolving, leaving language models to...

0 Giuseppe Attanasio, et al. ∙

research

∙ 10/04/2022

When and why vision-language models behave like bags-of-words, and what to do about it?

Despite the success of large vision and language models (VLMs) in many d...

0 Mert Yüksekgönül, et al. ∙

research

∙ 08/10/2022

Real-Time Oil Leakage Detection on Aftermarket Motorcycle Damping System with Convolutional Neural Networks

In this work, we describe in detail how Deep Learning and Computer Visio...

2 Federico Bianchi, et al. ∙

research

∙ 07/12/2022

EvalRS: a Rounded Evaluation of Recommender Systems

Much of the complexity of Recommender Systems (RSs) comes from the fact ...

0 Jacopo Tagliabue, et al. ∙

research

∙ 04/05/2022

"Does it come in black?" CLIP-like models are zero-shot recommenders

Product discovery is a crucial component for online shopping. However, i...

0 Patrick John Chia, et al. ∙

research

∙ 01/26/2022

Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data

Twitter data have become essential to Natural Language Processing (NLP) ...

0 Federico Bianchi, et al. ∙

research

∙ 11/18/2021

Beyond NDCG: behavioral testing of recommender systems with RecList

As with most Machine Learning systems, recommender systems are typically...

0 Patrick John Chia, et al. ∙

research

∙ 09/27/2021

Language Invariant Properties in Natural Language Processing

Meaning is context-dependent, but many properties of language (should) r...

2 Federico Bianchi, et al. ∙

research

∙ 09/15/2021

SWEAT: Scoring Polarization of Topics across Different Corpora

Understanding differences of viewpoints across corpora is a fundamental ...

0 Federico Bianchi, et al. ∙

research

∙ 04/19/2021

SIGIR 2021 E-Commerce Workshop Data Challenge

The 2021 SIGIR workshop on eCommerce is hosting the Coveo Data Challenge...

0 Jacopo Tagliabue, et al. ∙

research

∙ 04/18/2021

Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction

We investigate grounded language learning through real-world data, by mo...

0 Federico Bianchi, et al. ∙

research

∙ 04/02/2021

Query2Prod2Vec Grounded Word Embeddings for eCommerce

We present Query2Prod2Vec, a model that grounds lexical representations ...

0 Federico Bianchi, et al. ∙

research

∙ 12/17/2020

BERT Goes Shopping: Comparing Distributional Models for Product Representations

Word embeddings (e.g., word2vec) have been applied successfully to eComm...

1 Federico Bianchi, et al. ∙

research

∙ 07/20/2020

Fantastic Embeddings and How to Align Them: Zero-Shot Inference in a Multi-Shop Scenario

This paper addresses the challenge of leveraging multiple embedding spac...

1 Federico Bianchi, et al. ∙

research

∙ 04/30/2020

Knowledge Graph Embeddings and Explainable AI

Knowledge graph embeddings are now a widely adopted approach to knowledg...

52 Federico Bianchi, et al. ∙

research

∙ 04/16/2020

Cross-lingual Contextualized Topic Models with Zero-shot Learning

Many data sets in a domain (reviews, forums, news, etc.) exist in parall...

1 Federico Bianchi, et al. ∙

research

∙ 04/13/2020

Compass-aligned Distributional Embeddings for Studying Semantic Differences across Corpora

Word2vec is one of the most used algorithms to generate word embeddings ...

1 Federico Bianchi, et al. ∙

research

∙ 04/08/2020

Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence

Topic models extract meaningful groups of words from documents, allowing...

1 Federico Bianchi, et al. ∙

research

∙ 03/11/2020

"An Image is Worth a Thousand Features": Scalable Product Representations for In-Session Type-Ahead Personalization

We address the problem of personalizing query completion in a digital co...

1 Bingqing Yu, et al. ∙

research

∙ 03/05/2020

What the [MASK]? Making Sense of Language-Specific BERT Models

Recently, Natural Language Processing (NLP) has witnessed an impressive ...

1 Debora Nozza, et al. ∙

research

∙ 06/05/2019

Training Temporal Word Embeddings with a Compass

Temporal word embeddings have been proposed to support the analysis of w...

1 Valerio Di Carlo, et al. ∙

research

∙ 04/11/2019

Experimental neural network enhanced quantum tomography

Quantum tomography is currently ubiquitous for testing any implementatio...

1 Adriano Macarone-Palmier, et al. ∙

research

∙ 11/09/2018

Reasoning over RDF Knowledge Bases using Deep Learning

Semantic Web knowledge representation standards, and in particular RDF a...

1 Monireh Ebrahimi, et al. ∙