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08/11/2023
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Large Language Models (LLMs) have taken Knowledge Representation – and t...
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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...
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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...
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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...
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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...
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10/11/2022
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities
We introduce ViLPAct, a novel vision-language benchmark for human activi...
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08/06/2022
Frozen CLIP Models are Efficient Video Learners
Video recognition has been dominated by the end-to-end learning paradigm...
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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...
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02/23/2022
Art Creation with Multi-Conditional StyleGANs
Creating meaningful art is often viewed as a uniquely human endeavor. A ...
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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...
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09/24/2021
Dense Contrastive Visual-Linguistic Pretraining
Inspired by the success of BERT, several multimodal representation learn...
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07/02/2021
R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling
Human language understanding operates at multiple levels of granularity ...
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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 ...
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04/18/2021
Guilt by Association: Emotion Intensities in Lexical Representations
What do word vector representations reveal about the emotions associated...
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04/17/2021
Context-Aware Interaction Network for Question Matching
Impressive milestones have been achieved in text matching by adopting a ...
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03/08/2021
Fast and Effective Biomedical Entity Linking Using a Dual Encoder
Biomedical entity linking is the task of identifying mentions of biomedi...
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12/17/2020
Interactive Question Clarification in Dialogue via Reinforcement Learning
Coping with ambiguous questions has been a perennial problem in real-wor...
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11/13/2020
Cross-Domain Learning for Classifying Propaganda in Online Contents
As news and social media exhibit an increasing amount of manipulative po...
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10/09/2020
GitEvolve: Predicting the Evolution of GitHub Repositories
Software development is becoming increasingly open and collaborative wit...
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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...
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07/26/2020
Contrastive Visual-Linguistic Pretraining
Several multi-modality representation learning approaches such as LXMERT...
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06/07/2020
Incorporating Pragmatic Reasoning Communication into Emergent Language
Emergentism and pragmatics are two research fields that study the dynami...
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06/03/2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs
There has been growing attention on fairness considerations recently, es...
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05/27/2020
TIME: Text and Image Mutual-Translation Adversarial Networks
Focusing on text-to-image (T2I) generation, we propose Text and Image Mu...
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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...
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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...
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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...
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03/09/2020
Sentence Analogies: Exploring Linguistic Relationships and Regularities in Sentence Embeddings
While important properties of word vector representations have been stud...
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03/04/2020
Knowledge Graphs
In this paper we provide a comprehensive introduction to knowledge graph...
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03/02/2020
Long Short-Term Sample Distillation
In the past decade, there has been substantial progress at training incr...
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01/29/2020
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs
A number of cross-lingual transfer learning approaches based on neural n...
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12/18/2019
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation
Recently, recommender systems have been able to emit substantially impro...
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10/06/2019
Scalable Object-Oriented Sequential Generative Models
The main limitation of previous approaches to unsupervised sequential ob...
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06/12/2019
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Recent advances in personalized recommendation have sparked great intere...
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05/26/2019
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization
Exploring the potential of GANs for unsupervised disentanglement learnin...
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04/16/2019
Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts
Despite being vast repositories of factual information, cross-domain kno...
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04/12/2019
CITE: A Corpus of Image--Text Discourse Relations
This paper presents a novel crowd-sourced resource for multimodal discou...
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04/02/2019
Using Multi-Sense Vector Embeddings for Reverse Dictionaries
Popular word embedding methods such as word2vec and GloVe assign a singl...
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05/27/2018
Generating Fine-Grained Open Vocabulary Entity Type Descriptions
While large-scale knowledge graphs provide vast amounts of structured fa...
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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...
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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...
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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...
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12/01/2016
Video Captioning with Multi-Faceted Attention
Recently, video captioning has been attracting an increasing amount of i...
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10/03/2016
