Ignacio Iacobacci

Orcid: 0000-0002-8913-8561

According to our database1, Ignacio Iacobacci authored at least 31 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Code-Optimise: Self-Generated Preference Data for Correctness and Efficiency.
CoRR, 2024

Findings of the First Workshop on Simulating Conversational Intelligence in Chat.
CoRR, 2024

HumanRankEval: Automatic Evaluation of LMs as Conversational Assistants.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Correct and Optimal: The Regular Expression Inference Challenge.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Multi 3 WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systems.
Trans. Assoc. Comput. Linguistics, 2023

The Regular Expression Inference Challenge.
CoRR, 2023

Multi3WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systems.
CoRR, 2023

A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022
Relational Graph Convolutional Neural Networks for Multihop Reasoning: A Comparative Study.
CoRR, 2022

PanGu-Coder: Program Synthesis with Function-Level Language Modeling.
CoRR, 2022

EntityCS: Improving Zero-Shot Cross-lingual Transfer with Entity-Centric Code Switching.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Topic-Aware Response Generation in Task-Oriented Dialogue with Unstructured Knowledge Access.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Hierarchical Recurrent Aggregative Generation for Few-Shot NLG.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

CrossAligner & Co: Zero-Shot Transfer Methods for Task-Oriented Cross-lingual Natural Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Conversation Graph: Data Augmentation, Training and Evaluation for Non-Deterministic Dialogue Management.
Trans. Assoc. Comput. Linguistics, 2021

Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

XeroAlign: Zero-shot cross-lingual transformer alignment.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Show Us the Way: Learning to Manage Dialog from Demonstrations.
CoRR, 2020

Auxiliary Capsules for Natural Language Understanding.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Neural-grounded semantic representations and word sense disambiguation: a mutually beneficial relationship.
PhD thesis, 2019

LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017
Embedding Words and Senses Together via Joint Knowledge-Enhanced Training.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

2016
Semantic Representations of Word Senses and Concepts.
CoRR, 2016

Embeddings for Word Sense Disambiguation: An Evaluation Study.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
SensEmbed: Learning Sense Embeddings for Word and Relational Similarity.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015


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