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Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection
Few-shot Intent Detection is challenging due to the scarcity of availabl...
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Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering
Healthcare question answering assistance aims to provide customer health...
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AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types
Can one build a knowledge graph (KG) for all products in the world? Know...
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Octet: Online Catalog Taxonomy Enrichment with Self-Supervision
Taxonomies have found wide applications in various domains, especially o...
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SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction
Open relation extraction is the task of extracting open-domain relation ...
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CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection
In this paper, we formulate a more realistic and difficult problem setup...
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Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN
We present a multi-filtering Graph Convolution Neural Network (GCN) fram...
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Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings
Distributed representations of medical concepts have been used to suppor...
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Generative Temporal Link Prediction via Self-tokenized Sequence Modeling
We formalize networks with evolving structures as temporal networks and ...
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Co-contributorship Network and Division of Labor in Individual Scientific Collaborations
Collaborations are pervasive in current science. Collaborations have bee...
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Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction
Predicting patient mortality is an important and challenging problem in ...
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Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare
Distributed representations have been used to support downstream tasks i...
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Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking
Counterfactual thinking describes a psychological phenomenon that people...
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Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System
In real-world question-answering (QA) systems, ill-formed questions, suc...
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Structured Knowledge Discovery from Massive Text Corpus
Nowadays, with the booming development of the Internet, people benefit f...
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Multi-Grained Named Entity Recognition
This paper presents a novel framework, MGNER, for Multi-Grained Named En...
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Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries
Online knowledge libraries refer to the online data warehouses that syst...
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SynonymNet: Multi-context Bilateral Matching for Entity Synonyms
Being able to automatically discover synonymous entities from a large fr...
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Joint Slot Filling and Intent Detection via Capsule Neural Networks
Being able to recognize words as slots and detect the intent of an utter...
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Data-driven Blockbuster Planning on Online Movie Knowledge Library
In the era of big data, logistic planning can be made data-driven to tak...
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Finding Similar Medical Questions from Question Answering Websites
The past few years have witnessed the flourishing of crowdsourced medica...
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Deep Co-investment Network Learning for Financial Assets
Most recent works model the market structure of the stock market as a co...
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Zero-shot User Intent Detection via Capsule Neural Networks
User intent detection plays a critical role in question-answering and di...
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DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection
The increasing use of electronic forms of communication presents new opp...
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Multi-Task Pharmacovigilance Mining from Social Media Posts
Social media has grown to be a crucial information source for pharmacovi...
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BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder
Network embedding aims at projecting the network data into a low-dimensi...
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Bringing Semantic Structures to User Intent Detection in Online Medical Queries
The Internet has revolutionized healthcare by offering medical informati...
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