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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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Interactive Question Clarification in Dialogue via Reinforcement Learning
Coping with ambiguous questions has been a perennial problem in real-wor...
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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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GitEvolve: Predicting the Evolution of GitHub Repositories
Software development is becoming increasingly open and collaborative wit...
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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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Contrastive Visual-Linguistic Pretraining
Several multi-modality representation learning approaches such as LXMERT...
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Incorporating Pragmatic Reasoning Communication into Emergent Language
Emergentism and pragmatics are two research fields that study the dynami...
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Fairness-Aware Explainable Recommendation over Knowledge Graphs
There has been growing attention on fairness considerations recently, es...
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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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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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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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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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Sentence Analogies: Exploring Linguistic Relationships and Regularities in Sentence Embeddings
While important properties of word vector representations have been stud...
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Knowledge Graphs
In this paper we provide a comprehensive introduction to knowledge graph...
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Long Short-Term Sample Distillation
In the past decade, there has been substantial progress at training incr...
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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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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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Scalable Object-Oriented Sequential Generative Models
The main limitation of previous approaches to unsupervised sequential ob...
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Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Recent advances in personalized recommendation have sparked great intere...
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OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization
Exploring the potential of GANs for unsupervised disentanglement learnin...
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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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CITE: A Corpus of Image--Text Discourse Relations
This paper presents a novel crowd-sourced resource for multimodal discou...
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Using Multi-Sense Vector Embeddings for Reverse Dictionaries
Popular word embedding methods such as word2vec and GloVe assign a singl...
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Generating Fine-Grained Open Vocabulary Entity Type Descriptions
While large-scale knowledge graphs provide vast amounts of structured fa...
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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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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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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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Video Captioning with Multi-Faceted Attention
Recently, video captioning has been attracting an increasing amount of i...
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A Probability Distribution Strategy with Efficient Clause Selection for Hard Max-SAT Formulas
Many real-world problems involving constraints can be regarded as instan...
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