Iacer Calixto

Orcid: 0000-0001-6244-7906

Affiliations:
  • New York University, New York, NY, USA
  • The University of Amsterdam, Institute for Logic, Language and Computation (ILLC)
  • Dublin City University, ADAPT Centre (former)


According to our database1, Iacer Calixto authored at least 40 papers between 2013 and 2023.

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Bibliography

2023
LLM aided semi-supervision for Extractive Dialog Summarization.
CoRR, 2023

ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models.
CoRR, 2023

Fixing confirmation bias in feature attribution methods via semantic match.
CoRR, 2023

SemEval-2023 Task 1: Visual Word Sense Disambiguation.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Leveraging Multi-Word Concepts to Predict Acute Kidney Injury in Intensive Care.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

Video-and-Language (VidL) models and their cognitive relevance.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LLM aided semi-supervision for efficient Extractive Dialog Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Soft-Prompt Tuning to Predict Lung Cancer Using Primary Care Free-Text Dutch Medical Notes.
Proceedings of the Artificial Intelligence in Medicine, 2023

2022
Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning.
J. Artif. Intell. Res., 2022

Detecting Euphemisms with Literal Descriptions and Visual Imagery.
CoRR, 2022

Endowing Language Models with Multimodal Knowledge Graph Representations.
CoRR, 2022

Multi3Generation: Multitask, Multilingual, Multimodal Language Generation.
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, 2022

VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Zero-shot hashtag segmentation for multilingual sentiment analysis.
CoRR, 2021

Wikipedia Entities as Rendezvous across Languages: Grounding Multilingual Language Models by Predicting Wikipedia Hyperlinks.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
Seeing past words: Testing the cross-modal capabilities of pretrained V&L models.
CoRR, 2020

A Study on the Autoregressive and non-Autoregressive Multi-label Learning.
CoRR, 2020

ImagiFilter: A resource to enable the semi-automatic mining of images at scale.
CoRR, 2020

VisualSem: a high-quality knowledge graph for vision and language.
CoRR, 2020

English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Are Scene Graphs Good Enough to Improve Image Captioning?
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

2019
An error analysis for image-based multi-modal neural machine translation.
Mach. Transl., 2019

Latent Variable Model for Multi-modal Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Latent Visual Cues for Neural Machine Translation.
CoRR, 2018

2017
Is Neural Machine Translation the New State of the Art?
Prague Bull. Math. Linguistics, 2017

Multilingual Multi-modal Embeddings for Natural Language Processing.
CoRR, 2017

Incorporating Global Visual Features into Attention-Based Neural Machine Translation.
CoRR, 2017

DCU System Report on the WMT 2017 Multi-modal Machine Translation Task.
Proceedings of the Second Conference on Machine Translation, 2017

Sentence-Level Multilingual Multi-modal Embedding for Natural Language Processing.
Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation.
Proceedings of the 10th International Conference on Natural Language Generation, 2017

Incorporating Global Visual Features into Attention-based Neural Machine Translation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Using Images to Improve Machine-Translating E-Commerce Product Listings.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Doubly-Attentive Decoder for Multi-modal Neural Machine Translation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Human Evaluation of Multi-modal Neural Machine Translation: A Case-Study on E-Commerce Listing Titles.
Proceedings of the Sixth Workshop on Vision and Language, 2017

2016
DCU-UvA Multimodal MT System Report.
Proceedings of the First Conference on Machine Translation, 2016

Developing a Dataset for Evaluating Approaches for Document Expansion with Images.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

2015
Automatic Text Simplification for Spanish: Comparative Evaluation of Various Simplification Strategies.
Proceedings of the Recent Advances in Natural Language Processing, 2015

Overview of the Automated Story Illustration Task at FIRE 2015.
Proceedings of the Post Proceedings of the Workshops at the 7th Forum for Information Retrieval Evaluation, 2015

2014
Target-Centric Features for Translation Quality Estimation.
Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014

2013
A fuzzy set-based approach to origin-destination matrix estimation in urban traffic networks with imprecise data.
Eur. J. Oper. Res., 2013


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