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ORCIDFederico Bianchi 0001
Person information
- affiliation: Stanford University, Stanford, CA, USA
- affiliation (former): Bocconi University, Milano, Italy
Other persons with the same name
- Federico Bianchi — disambiguation page
- Federico Bianchi 0002
![[0000-0001-7773-3032]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7773-3032")
— University of Verona, Verona, Italy - Federico Bianchi 0003 — University of Milan, Italy
- Federico Bianchi 0004 — BioRobotics Institute, Pisa, Italy
- Federico Bianchi 0005 — Politecnico di Milano, Milano, Italy
- Federico Bianchi 0006 — Idea-re S.r.l., Perugia, Italy
- Federico Bianchi 0007 — University of Turin, Department of Molecular Biotechnology and Health Sciences, Italy
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2020 – today
- 2024
[j7]Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia:
Author Correction: A challenge for rounded evaluation of recommender systems. Nat. Mac. Intell. 6(3): 368 (2024)- [c45]Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou:
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. ICLR 2024 - [c44]Federico Bianchi, Patrick John Chia, Mert Yüksekgönül, Jacopo Tagliabue, Dan Jurafsky, James Zou:
How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis. ICML 2024 - [c43]Paul Röttger, Hannah Kirk, Bertie Vidgen, Giuseppe Attanasio, Federico Bianchi, Dirk Hovy:
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models. NAACL-HLT 2024: 5377-5400 - [i38]Federico Bianchi, Patrick John Chia, Mert Yüksekgönül, Jacopo Tagliabue, Dan Jurafsky, James Zou:
How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis. CoRR abs/2402.05863 (2024) - [i37]Federico Bianchi, James Zou:
Large Language Models are Vulnerable to Bait-and-Switch Attacks for Generating Harmful Content. CoRR abs/2402.13926 (2024) - [i36]Mert Yüksekgönül, Federico Bianchi, Joseph Boen, Sheng Liu, Zhi Huang, Carlos Guestrin, James Zou:
TextGrad: Automatic "Differentiation" via Text. CoRR abs/2406.07496 (2024) - [i35]Moussa Koulako Bala Doumbouya, Ananjan Nandi, Gabriel Poesia, Davide Ghilardi, Anna Goldie, Federico Bianchi, Dan Jurafsky, Christopher D. Manning:
h4rm3l: A Dynamic Benchmark of Composable Jailbreak Attacks for LLM Safety Assessment. CoRR abs/2408.04811 (2024) - 2023
- [j6]Federico Bianchi, Amanda Cercas Curry, Dirk Hovy:
Viewpoint: Artificial Intelligence Accidents Waiting to Happen? J. Artif. Intell. Res. 76: 193-199 (2023) - [j5]Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia:
A challenge for rounded evaluation of recommender systems. Nat. Mac. Intell. 5(2): 181-182 (2023) - [c42]Federico Bianchi, Giuseppe Attanasio, Raphael Pisoni, Silvia Terragni, Gabriele Sarti, Dario Balestri:
Contrastive Language-Image Pre-training for the Italian Language. CLiC-it 2023 - [c41]Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan:
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. FAccT 2023: 1493-1504 - [c40]Mert Yüksekgönül, Federico Bianchi, Pratyusha Kalluri, Dan Jurafsky, James Zou:
When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It? ICLR 2023 - [c39]Federico Bianchi, Patrick John Chia, Jacopo Tagliabue, Ciro Greco, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain, Claudio Pomo:
EvalRS 2023: Well-Rounded Recommender Systems for Real-World Deployments. KDD 2023: 5851-5852 - [c38]Rishav Hada, Amir Ebrahimi Fard, Sarah Shugars, Federico Bianchi, Patrícia G. C. Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev:
Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion. WSDM 2023: 33-41 - [p3]Federico Bianchi, Tommaso Fornaciari, Dirk Hovy, Debora Nozza:
Gender and Age Bias in Commercial Machine Translation. Towards Responsible Machine Translation 2023: 159-184 - [e1]Federico Bianchi, Patrick John Chia, Ciro Greco, Claudio Pomo, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain, Jacopo Tagliabue:
Proceedings of EvalRS: A Rounded Evaluation Of Recommender Systems 2023 co-located with 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2023), Long Beach,CA, USA, August 7, 2023. CEUR Workshop Proceedings 3450, CEUR-WS.org 2023 [contents] - [i34]Federico Bianchi, Patrick John Chia, Ciro Greco, Claudio Pomo, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain, Jacopo Tagliabue:
EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments. CoRR abs/2304.07145 (2023) - [i33]Patrick John Chia, Giuseppe Attanasio, Jacopo Tagliabue, Federico Bianchi, Ciro Greco, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain:
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems. CoRR abs/2304.10621 (2023) - [i32]Paul Röttger, Hannah Rose Kirk, Bertie Vidgen, Giuseppe Attanasio, Federico Bianchi, Dirk Hovy:
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models. CoRR abs/2308.01263 (2023) - [i31]Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou:
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. CoRR abs/2309.07875 (2023) - 2022
- [c37]Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia:
EvalRS: a rounded evaluation of recommender systems. CIKM Workshops 2022 - [c36]Federico Bianchi, Vincenzo Cutrona, Dirk Hovy:
Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data. EMNLP (Demos) 2022: 289-297 - [c35]Paul Röttger, Debora Nozza, Federico Bianchi, Dirk Hovy:
Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages. EMNLP 2022: 5674-5691 - [c34]Anne Lauscher, Federico Bianchi, Samuel R. Bowman, Dirk Hovy:
SocioProbe: What, When, and Where Language Models Learn about Sociodemographics. EMNLP 2022: 7901-7918 - [c33]Federico Bianchi, Stefanie Anja Hills, Patrícia G. C. Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev:
"It's Not Just Hate": A Multi-Dimensional Perspective on Detecting Harmful Speech Online. EMNLP 2022: 8093-8099 - [c32]Debora Nozza, Federico Bianchi, Anne Lauscher, Dirk Hovy:
Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals. LT-EDI 2022: 26-34 - [c31]Giuseppe Attanasio, Debora Nozza, Federico Bianchi:
MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities. SemEval@NAACL 2022: 654-662 - [c30]Federico Bianchi, Debora Nozza, Dirk Hovy:
XLM-EMO: Multilingual Emotion Prediction in Social Media Text. WASSA@ACL 2022: 195-203 - [c29]Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Chloe He, Brian Ko:
Beyond NDCG: Behavioral Testing of Recommender Systems with RecList. WWW (Companion Volume) 2022: 99-104 - [i30]Federico Bianchi, Vincenzo Cutrona, Dirk Hovy:
Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data. CoRR abs/2201.10986 (2022) - [i29]Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Ciro Greco, Diogo Gonçalves:
"Does it come in black?" CLIP-like models are zero-shot recommenders. CoRR abs/2204.02473 (2022) - [i28]Patrick John Chia, Giuseppe Attanasio, Federico Bianchi, Silvia Terragni, Ana Rita Magalhães, Diogo Gonçalves, Ciro Greco, Jacopo Tagliabue:
FashionCLIP: Connecting Language and Images for Product Representations. CoRR abs/2204.03972 (2022) - [i27]Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia:
EvalRS: a Rounded Evaluation of Recommender Systems. CoRR abs/2207.05772 (2022) - [i26]Mert Yüksekgönül, Federico Bianchi, Pratyusha Kalluri, Dan Jurafsky, James Zou:
When and why vision-language models behave like bags-of-words, and what to do about it? CoRR abs/2210.01936 (2022) - [i25]Giuseppe Attanasio, Debora Nozza, Federico Bianchi, Dirk Hovy:
Is It Worth the (Environmental) Cost? Limited Evidence for the Benefits of Diachronic Continuous Training. CoRR abs/2210.07365 (2022) - [i24]Paul Röttger, Debora Nozza, Federico Bianchi, Dirk Hovy:
Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages. CoRR abs/2210.11359 (2022) - [i23]Tommaso Fornaciari, Dirk Hovy, Federico Bianchi:
ProSiT! Latent Variable Discovery with PROgressive SImilarity Thresholds. CoRR abs/2210.14763 (2022) - [i22]Federico Bianchi, Stefanie Anja Hills, Patrícia G. C. Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev:
"It's Not Just Hate": A Multi-Dimensional Perspective on Detecting Harmful Speech Online. CoRR abs/2210.15870 (2022) - [i21]Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan:
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. CoRR abs/2211.03759 (2022) - [i20]Anne Lauscher, Federico Bianchi, Samuel R. Bowman, Dirk Hovy:
SocioProbe: What, When, and Where Language Models Learn about Sociodemographics. CoRR abs/2211.04281 (2022) - [i19]Rishav Hada, Amir Ebrahimi Fard, Sarah Shugars, Federico Bianchi, Patrícia G. C. Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev:
Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion. CoRR abs/2212.09056 (2022) - 2021
- [j4]Monireh Ebrahimi, Aaron Eberhart, Federico Bianchi, Pascal Hitzler:
Towards bridging the neuro-symbolic gap: deep deductive reasoners. Appl. Intell. 51(9): 6326-6348 (2021) - [j3]Giovanni Cassani, Federico Bianchi, Marco Marelli:
Words with Consistent Diachronic Usage Patterns are Learned Earlier: A Computational Analysis Using Temporally Aligned Word Embeddings. Cogn. Sci. 45(4) (2021) - [c28]Monireh Ebrahimi, Md. Kamruzzaman Sarker, Federico Bianchi, Ning Xie, Aaron Eberhart, Derek Doran, HyeongSik Kim, Pascal Hitzler:
Neuro-Symbolic Deductive Reasoning for Cross-Knowledge Graph Entailment. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [c27]Federico Bianchi, Silvia Terragni, Dirk Hovy:
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence. ACL/IJCNLP (2) 2021: 759-766 - [c26]Federico Bianchi, Dirk Hovy:
On the Gap between Adoption and Understanding in NLP. ACL/IJCNLP (Findings) 2021: 3895-3901 - [c25]Federico Bianchi, Silvia Terragni, Dirk Hovy, Debora Nozza, Elisabetta Fersini:
Cross-lingual Contextualized Topic Models with Zero-shot Learning. EACL 2021: 1676-1683 - [c24]Tommaso Fornaciari, Federico Bianchi, Massimo Poesio, Dirk Hovy:
BERTective: Language Models and Contextual Information for Deception Detection. EACL 2021: 2699-2708 - [c23]Federico Bianchi, Marco Marelli, Paolo Nicoli, Matteo Palmonari:
SWEAT: Scoring Polarization of Topics across Different Corpora. EMNLP (1) 2021: 10065-10072 - [c22]Vincenzo Cutrona, Gianluca Puleri, Federico Bianchi, Matteo Palmonari:
NEST: Neural Soft Type Constraints to Improve Entity Linking in Tables. SEMANTiCS 2021: 29-43 - [c21]Federico Bianchi, Jacopo Tagliabue, Bingqing Yu:
Query2Prod2Vec: Grounded Word Embeddings for eCommerce. NAACL-HLT (Industry Papers) 2021: 154-162 - [c20]Debora Nozza, Federico Bianchi, Dirk Hovy:
HONEST: Measuring Hurtful Sentence Completion in Language Models. NAACL-HLT 2021: 2398-2406 - [c19]Federico Bianchi, Ciro Greco, Jacopo Tagliabue:
Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction. NAACL-HLT 2021: 4409-4415 - [c18]Sotiris Lamprinidis, Federico Bianchi, Daniel Hardt, Dirk Hovy:
Universal Joy A Data Set and Results for Classifying Emotions Across Languages. WASSA@EACL 2021: 62-75 - [c17]Federico Bianchi, Debora Nozza, Dirk Hovy:
FEEL-IT: Emotion and Sentiment Classification for the Italian Language. WASSA@EACL 2021: 76-83 - [c16]Tommaso Fornaciari, Federico Bianchi, Debora Nozza, Dirk Hovy:
MilaNLP @ WASSA: Does BERT Feel Sad When You Cry? WASSA@EACL 2021: 269-273 - [p2]Luciano Serafini, Artur S. d'Avila Garcez, Samy Badreddine, Ivan Donadello, Michael Spranger, Federico Bianchi:
Logic Tensor Networks: Theory and Applications. Neuro-Symbolic Artificial Intelligence 2021: 370-394 - [d4]Vincenzo Cutrona, Federico Bianchi, Ernesto Jiménez-Ruiz, Matteo Palmonari:
Tough Tables: Carefully Evaluating Entity Linking for Tabular Data. Zenodo, 2021
- [d3]Vincenzo Cutrona, Federico Bianchi, Ernesto Jiménez-Ruiz, Matteo Palmonari:
Tough Tables: Carefully Evaluating Entity Linking for Tabular Data. Zenodo, 2021 - [i18]Federico Bianchi, Jacopo Tagliabue, Bingqing Yu:
Query2Prod2Vec Grounded Word Embeddings for eCommerce. CoRR abs/2104.02061 (2021) - [i17]Federico Bianchi, Ciro Greco, Jacopo Tagliabue:
Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction. CoRR abs/2104.08874 (2021) - [i16]Jacopo Tagliabue, Ciro Greco, Jean-Francis Roy, Bingqing Yu, Patrick John Chia, Federico Bianchi, Giovanni Cassani:
SIGIR 2021 E-Commerce Workshop Data Challenge. CoRR abs/2104.09423 (2021) - [i15]Federico Bianchi, Giuseppe Attanasio, Raphael Pisoni, Silvia Terragni, Gabriele Sarti, Sri Lakshmi:
Contrastive Language-Image Pre-training for the Italian Language. CoRR abs/2108.08688 (2021) - [i14]Federico Bianchi, Marco Marelli, Paolo Nicoli, Matteo Palmonari:
SWEAT: Scoring Polarization of Topics across Different Corpora. CoRR abs/2109.07231 (2021) - [i13]Federico Bianchi, Debora Nozza, Dirk Hovy:
Language Invariant Properties in Natural Language Processing. CoRR abs/2109.13037 (2021) - [i12]Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Chloe He, Brian Ko:
Beyond NDCG: behavioral testing of recommender systems with RecList. CoRR abs/2111.09963 (2021) - 2020
- [b1]Federico Bianchi:
Corpus-based Comparison of Distributional Models of Language and Knowledge Graphs. University of Milan, Italy, 2020 - [j2]Pascal Hitzler, Federico Bianchi, Monireh Ebrahimi, Md. Kamruzzaman Sarker:
Neural-symbolic integration and the Semantic Web. Semantic Web 11(1): 3-11 (2020) - [c15]Dirk Hovy, Federico Bianchi, Tommaso Fornaciari:
"You Sound Just Like Your Father" Commercial Machine Translation Systems Include Stylistic Biases. ACL 2020: 1686-1690 - [c14]Federico Belotti, Federico Bianchi, Matteo Palmonari:
UNIMIB @ DIACR-Ita: Aligning Distributional Embeddings with a Compass for Semantic Change Detection in the Italian Language (short paper). EVALITA 2020 - [c13]Jacopo Tagliabue, Bingqing Yu, Federico Bianchi:
The Embeddings That Came in From the Cold: Improving Vectors for New and Rare Products with Content-Based Inference. RecSys 2020: 577-578 - [c12]Vincenzo Cutrona, Federico Bianchi, Ernesto Jiménez-Ruiz, Matteo Palmonari:
Tough Tables: Carefully Evaluating Entity Linking for Tabular Data. ISWC (2) 2020: 328-343 - [c11]Bingqing Yu, Jacopo Tagliabue, Ciro Greco, Federico Bianchi:
"An Image is Worth a Thousand Features": Scalable Product Representations for In-Session Type-Ahead Personalization. WWW (Companion Volume) 2020: 461-470 - [p1]Federico Bianchi, Gaetano Rossiello, Luca Costabello, Matteo Palmonari, Pasquale Minervini:
Knowledge Graph Embeddings and Explainable AI. Knowledge Graphs for eXplainable Artificial Intelligence 2020: 49-72 - [d2]Vincenzo Cutrona, Federico Bianchi, Ernesto Jiménez-Ruiz, Matteo Palmonari:
Tough Tables: Carefully Benchmarking Semantic Table Annotators. Zenodo, 2020 - [d1]Vincenzo Cutrona, Federico Bianchi, Ernesto Jiménez-Ruiz, Matteo Palmonari:
Tough Tables: Carefully Evaluating Entity Linking for Tabular Data. Zenodo, 2020 - [i11]Debora Nozza, Federico Bianchi, Dirk Hovy:
What the [MASK]? Making Sense of Language-Specific BERT Models. CoRR abs/2003.02912 (2020) - [i10]Bingqing Yu, Jacopo Tagliabue, Ciro Greco, Federico Bianchi:
"An Image is Worth a Thousand Features": Scalable Product Representations for In-Session Type-Ahead Personalization. CoRR abs/2003.07160 (2020) - [i9]Federico Bianchi, Silvia Terragni, Dirk Hovy:
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence. CoRR abs/2004.03974 (2020) - [i8]Federico Bianchi, Valerio Di Carlo, Paolo Nicoli, Matteo Palmonari:
Compass-aligned Distributional Embeddings for Studying Semantic Differences across Corpora. CoRR abs/2004.06519 (2020) - [i7]Federico Bianchi, Silvia Terragni, Dirk Hovy, Debora Nozza, Elisabetta Fersini:
Cross-lingual Contextualized Topic Models with Zero-shot Learning. CoRR abs/2004.07737 (2020) - [i6]Federico Bianchi, Gaetano Rossiello, Luca Costabello, Matteo Palmonari, Pasquale Minervini:
Knowledge Graph Embeddings and Explainable AI. CoRR abs/2004.14843 (2020) - [i5]Federico Bianchi, Jacopo Tagliabue, Bingqing Yu, Luca Bigon, Ciro Greco:
Fantastic Embeddings and How to Align Them: Zero-Shot Inference in a Multi-Shop Scenario. CoRR abs/2007.14906 (2020) - [i4]Federico Bianchi, Bingqing Yu, Jacopo Tagliabue:
BERT Goes Shopping: Comparing Distributional Models for Product Representations. CoRR abs/2012.09807 (2020)
2010 – 2019
- 2019
- [j1]Vincenzo Cutrona, Federico Bianchi, Michele Ciavotta, Andrea Maurino:
On the composition and recommendation of multi-feature paths: a comprehensive approach. GeoInformatica 23(3): 353-373 (2019) - [c10]Valerio Di Carlo, Federico Bianchi, Matteo Palmonari:
Training Temporal Word Embeddings with a Compass. AAAI 2019: 6326-6334 - [c9]Federico Bianchi, Pascal Hitzler:
On the Capabilities of Logic Tensor Networks for Deductive Reasoning. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2019 - [c8]Manuel Vimercati, Federico Bianchi, Mauricio Soto, Matteo Palmonari:
Mapping Lexical Knowledge to Distributed Models for Ontology Concept Invention. AI*IA 2019: 572-587 - [c7]Marco Cremaschi, Federico Bianchi, Andrea Maurino, Andrea Primo Pierotti:
Supporting Journalism by Combining Neural Language Generation and Knowledge Graphs. CLiC-it 2019 - [c6]Federico Bianchi, Matteo Palmonari, Pascal Hitzler, Luciano Serafini:
Complementing Logical Reasoning with Sub-symbolic Commonsense. RuleML+RR 2019: 161-170 - [i3]Adriano Macarone Palmieri, Egor Kovlakov, Federico Bianchi, Dmitry Yudin, Stanislav Straupe, Jacob D. Biamonte, Sergei Kulik:
Experimental neural network enhanced quantum tomography. CoRR abs/1904.05902 (2019) - [i2]Valerio Di Carlo, Federico Bianchi, Matteo Palmonari:
Training Temporal Word Embeddings with a Compass. CoRR abs/1906.02376 (2019) - 2018
- [c5]Federico Bianchi, Mauricio Soto, Matteo Palmonari, Vincenzo Cutrona:
Type Vector Representations from Text: An Empirical Analysis. DL4KGS@ESWC 2018: 72-83 - [c4]Federico Bianchi, Matteo Palmonari, Debora Nozza:
Towards Encoding Time in Text-Based Entity Embeddings. ISWC (1) 2018: 56-71 - [i1]Monireh Ebrahimi, Md. Kamruzzaman Sarker, Federico Bianchi, Ning Xie, Derek Doran, Pascal Hitzler:
Reasoning over RDF Knowledge Bases using Deep Learning. CoRR abs/1811.04132 (2018) - 2017
- [c3]Federico Bianchi, Matteo Palmonari:
Joint Learning of Entity and Type Embeddings for Analogical Reasoning with Entities. NL4AI@AI*IA 2017: 57-68 - [c2]Federico Bianchi, Matteo Palmonari, Marco Cremaschi, Elisabetta Fersini:
Actively Learning to Rank Semantic Associations for Personalized Contextual Exploration of Knowledge Graphs. ESWC (1) 2017: 120-135 - 2015
- [c1]Matteo Palmonari, Giorgio Uboldi, Marco Cremaschi, Daniele Ciminieri, Federico Bianchi:
DaCENA: Serendipitous News Reading with Data Contexts. ESWC (Satellite Events) 2015: 133-137
Coauthor Index
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