Edison Marrese-Taylor

According to our database1, Edison Marrese-Taylor authored at least 43 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling.
CoRR, 2024

Media Bias Detection Across Families of Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Introducing Spatial Information and a Novel Evaluation Scheme for Open-Domain Live Commentary Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Annotations for Exploring Food Tweets from Multiple Aspects.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques.
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

Improving Low-Resource Machine Translation for Formosan Languages Using Bilingual Lexical Resources.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Unveiling Backbone Effects in CLIP: Exploring Representational Synergies and Variances.
CoRR, 2023

Perceptual Structure in the Absence of Grounding for LLMs: The Impact of Abstractedness and Subjectivity in Color Language.
CoRR, 2023

Integrating UMLS Knowledge into Large Language Models for Medical Question Answering.
CoRR, 2023

Towards Better Evaluation for Formality-Controlled English-Japanese Machine Translation.
Proceedings of the Eighth Conference on Machine Translation, 2023

Target-Aware Contextual Political Bias Detection in News.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

An empirical study of the effect of video encoders on Temporal Video Grounding.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Perceptual Structure in the absence of grounding: the impact of abstractedness and subjectivity in color language for LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Memory-efficient Temporal Moment Localization in Long Videos.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Open-domain Video Commentary Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Jejueo-Korean Translation With Cross-Lingual Pretraining Using Japanese and Korean.
Proceedings of the 9th Workshop on Asian Translation, 2022

2021
LocFormer: Enabling Transformers to Perform Temporal Moment Localization on Long Untrimmed Videos With a Feature Sampling Approach.
CoRR, 2021

DORi: Discovering Object Relationships for Moment Localization of a Natural Language Query in a Video.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Variational Inference for Learning Representations of Natural Language Edits.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
DORi: Discovering Object Relationship for Moment Localization of a Natural-Language Query in Video.
CoRR, 2020

A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews.
CoRR, 2020

Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages.
Proceedings of the 1st AfricaNLP Workshop Proceedings, 2020

Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Learning to Describe Editing Activities in Collaborative Environments: A Case Study on GitHub and Wikipedia.
Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, 2020

VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
An Edit-centric Approach for Wikipedia Article Quality Assessment.
Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

2018
Deep contextualized word representations for detecting sarcasm and irony.
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018

IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations.
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018

IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Content Aware Source Code Change Description Generation.
Proceedings of the 11th International Conference on Natural Language Generation, 2018

Learning to Automatically Generate Fill-In-The-Blank Quizzes.
Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications, 2018

2017
EmoAtt at EmoInt-2017: Inner attention sentence embedding for Emotion Intensity.
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNN.
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

Refining Raw Sentence Representations for Textual Entailment Recognition via Attention.
Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP, 2017

Replication issues in syntax-based aspect extraction for opinion mining.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
DOCODE 3.0 (DOcument COpy DEtector): A system for plagiarism detection by applying an information fusion process from multiple documental data sources.
Inf. Fusion, 2016

2014
A novel deterministic approach for aspect-based opinion mining in tourism products reviews.
Expert Syst. Appl., 2014

Tools for External Plagiarism Detection in DOCODE.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

2013
Identifying Customer Preferences about Tourism Products Using an Aspect-based Opinion Mining Approach.
Proceedings of the 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2013

Opinion Zoom: A Modular Tool to Explore Tourism Opinions on the Web.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2013


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