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Works (11)

Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
2024-11-12 | Conference paper | Author
SOURCE-WORK-ID:

aec9223c-56cb-4c61-a8bf-906fc60951e9

Contributors: Xin Quan; Marco Valentino; Louise Dennis; Andre Freitas
Source: check_circle
University of Manchester - PURE

Inference to the Best Explanation in Large Language Models

The 62nd Annual Meeting of the Association for Computational Linguistics (ACL)
2024-08-11 | Conference paper | Author
SOURCE-WORK-ID:

b03f8392-4202-4c84-8116-2c2434405cd4

EID:

2-s2.0-85204498358

Contributors: Dhairya Dalal; Marco Valentino; Andre Freitas; Paul Buitelaar
Source: check_circle
University of Manchester - PURE

SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials

Association for Computational Linguistics
2024-06-20 | Conference paper | Author
SOURCE-WORK-ID:

3637cdee-abc8-4fb4-ac0b-806ee760ee32

Contributors: Mael Jullien; Marco Valentino; Andre Freitas
Source: check_circle
University of Manchester - PURE

Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders

Findings of the Association for Computational Linguistics: NAACL 2024
2024-06-16 | Conference paper | Author
SOURCE-WORK-ID:

9434adc5-34c8-478f-ad1e-6a7eea0093c4

EID:

2-s2.0-85197907545

Contributors: Yingji Zhang; Marco Valentino; Danilo Carvalho; Ian Pratt-Hartmann; Andre Freitas
Source: check_circle
University of Manchester - PURE

Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders

Findings of the Association for Computational Linguistics: EACL 2024
2024-03-17 | Conference paper | Author
SOURCE-WORK-ID:

011f5f2e-39cb-42b8-bced-e24d3716bca0

Contributors: Yingji Zhang; Danilo Silva De Carvalho; Marco Valentino; Ian Pratt-Hartmann; Andre Freitas
Source: check_circle
University of Manchester - PURE

NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
2023-12-06 | Conference paper | Author
SOURCE-WORK-ID:

e2780316-417e-405f-bc1e-5c58f1fa1795

Contributors: Mael Jullien; Marco Valentino; Hannah Frost; Paul O’Regan; Dónal Landers; Andre Freitas
Source: check_circle
University of Manchester - PURE

SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)
2023-07-13 | Conference paper | Author
SOURCE-WORK-ID:

ea5c39d7-9613-4683-b089-28880d5b23a3

Contributors: Mael Jullien; Marco Valentino; Hannah Frost; Paul O'Regan; Dónal Landers; Andre Freitas
Source: check_circle
University of Manchester - PURE

Interventional Probing in High Dimensions: An NLI Case Study

Findings of the European chapter of Association for Computational Linguistics (Findings of EACL), 2023.
2023-05-02 | Dictionary entry | Author
SOURCE-WORK-ID:

d11c0cbe-dee2-465d-a556-cb9782a79867

Contributors: Julia Rozanova; Marco Valentino; Lucas Carvalho Cordeiro; Andre Freitas
Source: check_circle
University of Manchester - PURE

Unification-based Reconstruction of Multi-hop Explanations for Science Questions

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics
2021-04-21 | Conference paper | Author
SOURCE-WORK-ID:

33f17bf5-da84-4e09-813a-79a415c2d4cb

Contributors: Marco Valentino; Mokanarangan Thayaparan; Andre Freitas
Source: check_circle
University of Manchester - PURE

A Framework for Evaluation of Machine Reading Comprehension Gold Standards

12th International Conference on Language Resources and Evaluation
2020-05-01 | Conference paper | Author
SOURCE-WORK-ID:

54127827-039a-4dc3-895f-17967ea14a87

EID:

2-s2.0-85095253946

Contributors: Viktor Schlegel; Marco Valentino; Andre Freitas; Goran Nenadic; Riza Batista-Navarro
Source: check_circle
University of Manchester - PURE

Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks

Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)
2019-11-01 | Conference paper | Author
SOURCE-WORK-ID:

fc803713-60d4-47ab-bb10-844604b88c4f

EID:

2-s2.0-85084988022

Contributors: Mokanarangan Thayaparan; Marco Valentino; Viktor Schlegel; Andre Freitas
Source: check_circle
University of Manchester - PURE