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08/09/2023
Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning
Recent advanced methods in Natural Language Understanding for Task-orien...
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07/04/2023
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
Knowledge graph embeddings (KGE) have been extensively studied to embed ...
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06/27/2023
The Impact of Heterogeneous Shared Leadership in Scientific Teams
Leadership is evolving dynamically from an individual endeavor to shared...
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06/01/2023
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction
Information extraction, e.g., attribute value extraction, has been exten...
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05/26/2023
Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach
We present a new task setting for attribute mining on e-commerce product...
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05/26/2023
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks
Relation extraction (RE) tasks show promising performance in extracting ...
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05/02/2023
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction
Relation extraction (RE) aims to extract potential relations according t...
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11/11/2022
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction
Information Extraction (IE) aims to extract structured information from ...
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05/04/2022
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
Unsupervised relation extraction aims to extract the relationship betwee...
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04/29/2022
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision
Automatic extraction of product attributes from their textual descriptio...
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09/14/2021
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
Low-resource Relation Extraction (LRE) aims to extract relation facts fr...
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08/09/2021
Team Power and Hierarchy: Understanding Team Success
Teamwork is cooperative, participative and power sharing. In science of ...
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02/23/2021
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks
Text categorization is an essential task in Web content analysis. Consid...
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10/06/2020
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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08/06/2020
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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06/24/2020
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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06/18/2020
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision
Taxonomies have found wide applications in various domains, especially o...
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04/06/2020
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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04/04/2020
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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04/03/2020
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN
We present a multi-filtering Graph Convolution Neural Network (GCN) fram...
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12/06/2019
Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings
Distributed representations of medical concepts have been used to suppor...
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11/26/2019
Generative Temporal Link Prediction via Self-tokenized Sequence Modeling
We formalize networks with evolving structures as temporal networks and ...
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11/25/2019
Co-contributorship Network and Division of Labor in Individual Scientific Collaborations
Collaborations are pervasive in current science. Collaborations have bee...
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10/15/2019
Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction
Predicting patient mortality is an important and challenging problem in ...
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10/14/2019
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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08/13/2019
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking
Counterfactual thinking describes a psychological phenomenon that people...
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08/13/2019
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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07/23/2019
Structured Knowledge Discovery from Massive Text Corpus
Nowadays, with the booming development of the Internet, people benefit f...
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06/20/2019
Multi-Grained Named Entity Recognition
This paper presents a novel framework, MGNER, for Multi-Grained Named En...
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05/15/2019
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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12/31/2018
SynonymNet: Multi-context Bilateral Matching for Entity Synonyms
Being able to automatically discover synonymous entities from a large fr...
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12/22/2018
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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10/24/2018
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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10/14/2018
Finding Similar Medical Questions from Question Answering Websites
The past few years have witnessed the flourishing of crowdsourced medica...
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09/12/2018
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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09/02/2018
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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03/23/2018
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection
The increasing use of electronic forms of communication presents new opp...
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01/19/2018
Multi-Task Pharmacovigilance Mining from Social Media Posts
Social media has grown to be a crucial information source for pharmacovi...
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11/26/2017
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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10/22/2017
