Gerard de Melo — Source Code

PubMedCLIP: How Much Does CLIP Benefit Visual Question Answering in the Medical Domain?

References:

PubMedCLIP: How Much Does CLIP Benefit Visual Question Answering in the Medical Domain?   BibTeX
Sedigheh Eslami, Christoph Meinel, Gerard de Melo (2023)
In: Findings of the Association for Computational Linguistics: EACL 2023.

Source Code

D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning
Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation

References:

Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation   BibTeX
Xiang Hu, Haitao Mi, Liang Li, Gerard de Melo (2022)
In: Proc. EMNLP 2022. Association for Computational Linguistics.

Source Code

Frozen CLIP Models are Efficient Video Learners

References:

Frozen CLIP Models are Efficient Video Learners   BibTeX
Ziyi Lin, Shijie Geng, Renrui Zhang, Gerard de Melo, Xiaogang Wang, Jifeng Dai, Yu Qiao, Peng Gao, Hongsheng Li (2022)
In: Proc. ECCV 2022.

Source Code

Masked-Piper: Masking personal identities in visual recordings while preserving multimodal information
Dense Contrastive Visual-Linguistic Pretraining

References:

Dense Contrastive Visual-Linguistic Pretraining   BibTeX
Lei Shi, Kai Shuang, Shijie Geng, Peng Su, Zhengkai Jiang, Peng Gao, Zuohui Fu, Gerard de Melo, Sen Su (2021)
In: Proc. ACM Multimedia (MM) 2021.
Acceptance rate: ~27.9%

Source Code

Faithfully Explainable Recommendation via Neural Logic Reasoning
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation

References:

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation   BibTeX
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, et al. (2021)
arXiv, 2021.

Source Code

OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization
SCALOR: Generative World Models with Scalable Object Representations
A Joint Framework for Inductive Representation Learning and Explainable Reasoning in Knowledge Graphs
HID: Hierarchical Multiscale Representation Learning for Information Diffusion

References:

HID: Hierarchical Multiscale Representation Learning for Information Diffusion   BibTeX
Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia (2020)
In: Proc. IJCAI 2020. International Joint Conferences on Artificial Intelligence Organization.
Acceptance rate: 12.6%

Source Code

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation

References:

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation   BibTeX
Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang (2020)
In: Proc. CIKM 2020. ACM.
Acceptance rate: 21%

Source Code

GitEvolve: Predicting the Evolution of GitHub Repositories

References:

GitEvolve: Predicting the Evolution of GitHub Repositories   BibTeX
Honglu Zhou, Hareesh Ravi, Carlos M. Muniz, Vahid Azizi, Linda Ness, Gerard de Melo, Mubbasir Kapadia (2020)
ArXiv 2010.04366, 2020.

Source Code

Cross-Domain Learning for Classifying Propaganda in Online Contents
Facts That Matter: Dynamic Fact Retrieval for Entity-Centric Search Queries
Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation

References:

Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation   BibTeX
Zhiqiang Liu, Zuohui Fu, Jie Cao, Gerard de Melo, Yik-Cheung Tam, Cheng Niu, Jie Zhou (2019)
In: Proc. ACL 2019. Association for Computational Linguistics.
Acceptance rate: 22.7%

Source Code

Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
CITE: A Corpus Of Text-Image Discourse Relations

References:

CITE: A Corpus Of Text-Image Discourse Relations   BibTeX
Malihe Alikhani, Sreyasi Nag Chowdhury, Gerard de Melo, Matthew Stone (2019)
In: Proc. NAACL-HLT 2019 (Short Paper). Association for Computational Linguistics.
Acceptance rate: 21.3%

Source Code

A Robust Self-Learning Framework for Cross-Lingual Text Classification
Using Multi-Sense Vector Embeddings for Reverse Dictionaries

References:

Using Multi-Sense Vector Embeddings for Reverse Dictionaries   BibTeX
Michael Aloys Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo (2019)
In: Proc. IWCS 2019. Association for Computational Linguistics.

Source Code

Generating Fine-Grained Open Vocabulary Entity Type Descriptions

References:

Generating Fine-Grained Open Vocabulary Entity Type Descriptions   BibTeX
Rajarshi Bhowmik, Gerard de Melo (2018)
In: Proc. ACL 2018. Association for Computational Linguistics.
Acceptance rate: 24.9%

Source Code

Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval
The PACRR/RE-PACRR Neural Information Retrieval Model
PEAK: Automated Summary Quality Evaluation using the Pyramid Method
Lexvo.org: Language-Related Information for the Linguistic Linked Data Cloud
NomLex-PT: A Lexicon of Portuguese Nominalizations

References:

Extending a Lexicon of Portuguese Nominalizations with Data from Corpora   BibTeX
Cl\'audia Freitas, Valeria de Paiva, Alexandre Rademaker, Gerard de Melo, Livy Real, Anne Silva (2014)
In: Computational Processing of the Portuguese Language. Proc. PROPOR 2014. Springer Lecture Notes in Computer Science.

Source Code

Good, Great, Excellent: Global Inference of Semantic Intensities

References:

Good, Great, Excellent: Global Inference of Semantic Intensities   BibTeX
Gerard de Melo, Mohit Bansal (2013)
Transactions of the Association for Computational Linguistics 1:July 2013, 2013, p. 279–290. ACL. Oral presentation at ACL 2013.
Acceptance rate: ~23.9%
Impact factor: 9.1 (2022)

Source Code

UWN: A Large Multilingual Lexical Knowledge Base

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