Aïssatou Diallo

According to our database, Aïssatou Diallo authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

RESPONSE: Benchmarking the Ability of Language Models to Undertake Commonsense Reasoning in Crisis Situation.

Aïssatou Diallo, Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller

CoRR, March, 2025

Rule-Guided Feedback: Enhancing Reasoning by Enforcing Rule Adherence in Large Language Models.

Aïssatou Diallo, Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller

CoRR, March, 2025

IAO Prompting: Making Knowledge Flow Explicit in LLMs through Structured Reasoning Templates.

Aïssatou Diallo, Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller

CoRR, February, 2025

2024

Unsupervised Learning of Graph from Recipes.

Aïssatou Diallo, Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller

CoRR, 2024

PizzaCommonSense: Learning to Model Commonsense Reasoning about Intermediate Steps in Cooking Recipes.

Aïssatou Diallo, Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller

CoRR, 2024

PizzaCommonSense: A Dataset for Commonsense Reasoning about Intermediate Steps in Cooking Recipes.

Aïssatou Diallo, Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

A Graphical Formalism for Commonsense Reasoning with Recipes.

Antonis Bikakis, Aïssatou Diallo, Luke Dickens, Anthony Hunter, Rob Miller

CoRR, 2023

2022

Preference-based Representation Learning for Collections / Aissatou Diallo ; Iryna Gurevych, Johannes Fürnkranz, Fabio Aiolli.

Aïssatou Diallo

PhD thesis, 2022

Unsupervised Alignment of Distributional Word Embeddings.

Aïssatou Diallo

CoRR, 2022

GausSetExpander: A Simple Approach for Entity Set Expansion.

Aïssatou Diallo, Johannes Fürnkranz

CoRR, 2022

Unsupervised Alignment of Distributional Word Embeddings.

Aïssatou Diallo, Johannes Fürnkranz

Proceedings of the KI 2022: Advances in Artificial Intelligence, 2022

2021

Learning Ordinal Embedding from Sets.

Aïssatou Diallo, Johannes Fürnkranz

Entropy, 2021

Elliptical Ordinal Embedding.

Aïssatou Diallo, Johannes Fürnkranz

Proceedings of the Discovery Science - 24th International Conference, 2021

2020

Permutation Learning via Lehmer Codes.

Aïssatou Diallo, Markus Zopf, Johannes Fürnkranz

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Improving Answer Selection with Analogy-Preserving Sentence Embeddings.

Aïssatou Diallo, Markus Zopf, Johannes Fürnkranz

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Learning Analogy-Preserving Sentence Embeddings for Answer Selection.

Aïssatou Diallo, Markus Zopf, Johannes Fürnkranz

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019