Gerard de Melo

research

∙ 08/11/2023

Large Language Models and Knowledge Graphs: Opportunities and Challenges

Large Language Models (LLMs) have taken Knowledge Representation – and t...

0 Jeff Z. Pan, et al. ∙

research

∙ 05/23/2023

Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification using Graph Neural Networks?

Given the success of Graph Neural Networks (GNNs) for structure-aware ma...

0 Margarita Bugueño, et al. ∙

research

∙ 05/23/2023

FOCUS: Effective Embedding Initialization for Specializing Pretrained Multilingual Models on a Single Language

Using model weights pretrained on a high-resource language as a warm sta...

0 Konstantin Dobler, et al. ∙

research

∙ 03/16/2023

MultiModal Bias: Introducing a Framework for Stereotypical Bias Assessment beyond Gender and Race in Vision Language Models

Recent breakthroughs in self supervised training have led to a new class...

0 Sepehr Janghorbani, et al. ∙

research

∙ 12/31/2022

Democratization of Retail Trading: Can Reddit's WallStreetBets Outperform Investment Bank Analysts?

The recent hype around Reddit's WallStreetBets (WSB) community has inspi...

0 Tolga Buz, et al. ∙

research

∙ 10/11/2022

ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities

We introduce ViLPAct, a novel vision-language benchmark for human activi...

8 Terry Yue Zhuo, et al. ∙

research

∙ 08/06/2022

Frozen CLIP Models are Efficient Video Learners

Video recognition has been dominated by the end-to-end learning paradigm...

0 Ziyi Lin, et al. ∙

research

∙ 03/01/2022

Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation

Recently CKY-based models show great potential in unsupervised grammar i...

0 Xiang Hu, et al. ∙

research

∙ 02/23/2022

Art Creation with Multi-Conditional StyleGANs

Creating meaningful art is often viewed as a uniquely human endeavor. A ...

0 Konstantin Dobler, et al. ∙

research

∙ 12/27/2021

Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Contrastive Language–Image Pre-training (CLIP) has shown remarkable succ...

37 Sedigheh Eslami, et al. ∙

research

∙ 09/24/2021

Dense Contrastive Visual-Linguistic Pretraining

Inspired by the success of BERT, several multimodal representation learn...

0 Lei Shi, et al. ∙

research

∙ 07/02/2021

R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling

Human language understanding operates at multiple levels of granularity ...

0 Xiang Hu, et al. ∙

research

∙ 05/06/2021

Should You Take Investment Advice From WallStreetBets? A Data-Driven Approach

Reddit's WallStreetBets (WSB) community has come to prominence in light ...

0 Tolga Buz, et al. ∙

research

∙ 04/18/2021

Guilt by Association: Emotion Intensities in Lexical Representations

What do word vector representations reveal about the emotions associated...

0 Shahab Raji, et al. ∙

research

∙ 04/17/2021

Context-Aware Interaction Network for Question Matching

Impressive milestones have been achieved in text matching by adopting a ...

0 Zhe Hu, et al. ∙

research

∙ 03/08/2021

Fast and Effective Biomedical Entity Linking Using a Dual Encoder

Biomedical entity linking is the task of identifying mentions of biomedi...

0 Rajarshi Bhowmik, et al. ∙

research

∙ 12/17/2020

Interactive Question Clarification in Dialogue via Reinforcement Learning

Coping with ambiguous questions has been a perennial problem in real-wor...

0 Xiang Hu, et al. ∙

research

∙ 11/13/2020

Cross-Domain Learning for Classifying Propaganda in Online Contents

As news and social media exhibit an increasing amount of manipulative po...

4 Liqiang Wang, et al. ∙

research

∙ 10/09/2020

GitEvolve: Predicting the Evolution of GitHub Repositories

Software development is becoming increasingly open and collaborative wit...

12 Honglu Zhou, et al. ∙

research

∙ 08/21/2020

COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce

In this work, we present a new dataset for conversational recommendation...

33 Zuohui Fu, et al. ∙

research

∙ 07/26/2020

Contrastive Visual-Linguistic Pretraining

Several multi-modality representation learning approaches such as LXMERT...

10 Lei Shi, et al. ∙

research

∙ 06/07/2020

Incorporating Pragmatic Reasoning Communication into Emergent Language

Emergentism and pragmatics are two research fields that study the dynami...

8 Yipeng Kang, et al. ∙

research

∙ 06/03/2020

Fairness-Aware Explainable Recommendation over Knowledge Graphs

There has been growing attention on fairness considerations recently, es...

1 Zuohui Fu, et al. ∙

research

∙ 05/27/2020

TIME: Text and Image Mutual-Translation Adversarial Networks

Focusing on text-to-image (T2I) generation, we propose Text and Image Mu...

10 Bingchen Liu, et al. ∙

research

∙ 05/03/2020

Correcting the Autocorrect: Context-Aware Typographical Error Correction via Training Data Augmentation

In this paper, we explore the artificial generation of typographical err...

0 Kshitij Shah, et al. ∙

research

∙ 05/02/2020

Are Emojis Emotional? A Study to Understand the Association between Emojis and Emotions

Given the growing ubiquity of emojis in language, there is a need for me...

11 Abu Awal Md Shoeb, et al. ∙

research

∙ 05/01/2020

A Joint Framework for Inductive Representation Learning and Explainable Reasoning in Knowledge Graphs

Despite their large-scale coverage, existing cross-domain knowledge grap...

0 Rajarshi Bhowmik, et al. ∙

research

∙ 03/09/2020

Sentence Analogies: Exploring Linguistic Relationships and Regularities in Sentence Embeddings

While important properties of word vector representations have been stud...

0 Xunjie Zhu, et al. ∙

research

∙ 03/04/2020

Knowledge Graphs

In this paper we provide a comprehensive introduction to knowledge graph...

8 Aidan Hogan, et al. ∙

research

∙ 03/02/2020

Long Short-Term Sample Distillation

In the past decade, there has been substantial progress at training incr...

5 Liang Jiang, et al. ∙

research

∙ 01/29/2020

ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs

A number of cross-lingual transfer learning approaches based on neural n...

0 Zuohui Fu, et al. ∙

research

∙ 12/18/2019

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation

Recently, recommender systems have been able to emit substantially impro...

0 Xin Dong, et al. ∙

research

∙ 10/06/2019

Scalable Object-Oriented Sequential Generative Models

The main limitation of previous approaches to unsupervised sequential ob...

34 Jindong Jiang, et al. ∙

research

∙ 06/12/2019

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

Recent advances in personalized recommendation have sparked great intere...

0 Yikun Xian, et al. ∙

research

∙ 05/26/2019

OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization

Exploring the potential of GANs for unsupervised disentanglement learnin...

2 Bingchen Liu, et al. ∙

research

∙ 04/16/2019

Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts

Despite being vast repositories of factual information, cross-domain kno...

0 Rajarshi Bhowmik, et al. ∙

research

∙ 04/12/2019

CITE: A Corpus of Image--Text Discourse Relations

This paper presents a novel crowd-sourced resource for multimodal discou...

0 Malihe Alikhani, et al. ∙

research

∙ 04/02/2019

Using Multi-Sense Vector Embeddings for Reverse Dictionaries

Popular word embedding methods such as word2vec and GloVe assign a singl...

0 Michael A. Hedderich, et al. ∙

research

∙ 05/27/2018

Generating Fine-Grained Open Vocabulary Entity Type Descriptions

While large-scale knowledge graphs provide vast amounts of structured fa...

0 Rajarshi Bhowmik, et al. ∙

research

∙ 11/27/2017

Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification

Recently, substantial research effort has focused on how to apply CNNs o...

0 Xiang Long, et al. ∙

research

∙ 06/30/2017

Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval

Neural IR models, such as DRMM and PACRR, have achieved strong results b...

0 Kai Hui, et al. ∙

research

∙ 04/12/2017

PACRR: A Position-Aware Neural IR Model for Relevance Matching

In order to adopt deep learning for information retrieval, models are ne...

0 Kai Hui, et al. ∙

research

∙ 12/01/2016

Video Captioning with Multi-Faceted Attention

Recently, video captioning has been attracting an increasing amount of i...

0 Xiang Long, et al. ∙

research

∙ 10/03/2016

A Probability Distribution Strategy with Efficient Clause Selection for Hard Max-SAT Formulas

Many real-world problems involving constraints can be regarded as instan...

0 Sixue Liu, et al. ∙

Gerard de Melo

Featured Co-authors