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07/08/2023
Embedding Mental Health Discourse for Community Recommendation
Our paper investigates the use of discourse embedding techniques to deve...
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06/27/2023
Investigating Cross-Domain Behaviors of BERT in Review Understanding
Review score prediction requires review text understanding, a critical r...
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05/23/2023
Pre-training Language Models for Comparative Reasoning
In this paper, we propose a novel framework to pre-train language models...
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05/23/2023
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions
Contrast consistency, the ability of a model to make consistently correc...
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05/23/2023
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions
Although counterfactual reasoning is a fundamental aspect of intelligenc...
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05/23/2023
Improving Language Models via Plug-and-Play Retrieval Feedback
Large language models (LLMs) exhibit remarkable performance across vario...
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05/20/2023
Semi-Supervised Graph Imbalanced Regression
Data imbalance is easily found in annotated data when the observations o...
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05/16/2023
Large Language Models are Built-in Autoregressive Search Engines
Document retrieval is a key stage of standard Web search engines. Existi...
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03/17/2023
Data-Centric Learning from Unlabeled Graphs with Diffusion Model
Graph property prediction tasks are important and numerous. While each t...
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12/19/2022
Very Large Language Model as a Unified Methodology of Text Mining
Text data mining is the process of deriving essential information from l...
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10/23/2022
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach
A common thread of retrieval-augmented methods in the existing literatur...
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10/07/2022
A Unified Encoder-Decoder Framework with Entity Memory
Entities, as important carriers of real-world knowledge, play a key role...
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09/21/2022
Generate rather than Retrieve: Large Language Models are Strong Context Generators
Knowledge-intensive tasks, such as open-domain question answering (QA), ...
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08/11/2022
Heterogeneous Line Graph Transformer for Math Word Problems
This paper describes the design and implementation of a new machine lear...
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07/09/2022
On the Relationship Between Counterfactual Explainer and Recommender
Recommender systems employ machine learning models to learn from histori...
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07/03/2022
Enhancing Automated Software Traceability by Transfer Learning from Open-World Data
Software requirements traceability is a critical component of the softwa...
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06/21/2022
Automatic Controllable Product Copywriting for E-Commerce
Automatic product description generation for e-commerce has witnessed si...
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06/06/2022
Graph Rationalization with Environment-based Augmentations
Rationale is defined as a subset of input features that best explains or...
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04/29/2022
A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers against AI Inequality
The growing inequality in gig work between workers and platforms has bec...
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04/07/2022
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods
Multi-task learning (MTL) has become increasingly popular in natural lan...
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03/14/2022
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
Generative commonsense reasoning (GCR) in natural language is to reason ...
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02/17/2022
Graph Data Augmentation for Graph Machine Learning: A Survey
Data augmentation has recently seen increased interest in graph machine ...
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10/13/2021
Dict-BERT: Enhancing Language Model Pre-training with Dictionary
Pre-trained language models (PLMs) aim to learn universal language repre...
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08/04/2021
Multi-Round Parsing-based Multiword Rules for Scientific OpenIE
Information extraction (IE) in scientific literature has facilitated man...
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06/05/2021
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
Automatic construction of a taxonomy supports many applications in e-com...
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06/03/2021
Counterfactual Graph Learning for Link Prediction
Learning to predict missing links is important for many graph-based appl...
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06/03/2021
Cross-Network Learning with Partially Aligned Graph Convolutional Networks
Graph neural networks have been widely used for learning representations...
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04/15/2021
Sentence-Permuted Paragraph Generation
Generating paragraphs of diverse contents is important in many applicati...
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02/16/2021
Few-Shot Graph Learning for Molecular Property Prediction
The recent success of graph neural networks has significantly boosted mo...
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02/08/2021
Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models
Software traceability establishes and leverages associations between div...
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01/21/2021
Validating Label Consistency in NER Data Annotation
Data annotation plays a crucial role in ensuring your named entity recog...
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10/20/2020
Early Anomaly Detection by Learning and Forecasting Behavior
Graph anomaly detection systems aim at identifying suspicious accounts o...
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10/19/2020
Technical Question Answering across Tasks and Domains
Building automatic technical support system is an important yet challeng...
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10/09/2020
A Survey of Knowledge-Enhanced Text Generation
The goal of text generation is to make machines express in human languag...
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09/28/2020
Injecting Entity Types into Entity-Guided Text Generation
Recent successes in deep generative modeling have led to significant adv...
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09/15/2020
Data-Driven Network Intrusion Detection: A Taxonomy of Challenges and Methods
Data-driven methods have been widely used in network intrusion detection...
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09/15/2020
Federated Dynamic GNN with Secure Aggregation
Given video data from multiple personal devices or street cameras, can w...
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07/25/2020
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs
Most graph neural network models learn embeddings of nodes in static att...
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07/16/2020
Specification mining and automated task planning for autonomous robots based on a graph-based spatial temporal logic
We aim to enable an autonomous robot to learn new skills from demo video...
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06/17/2020
Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network
Noun phrases and relational phrases in Open Knowledge Bases are often no...
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06/11/2020
Data Augmentation for Graph Neural Networks
Data augmentation has been widely used to improve generalizability of ma...
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06/11/2020
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors
User behavior modeling is important for industrial applications such as ...
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06/11/2020
A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction
Textual patterns (e.g., Country's president Person) are specified and/or...
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05/06/2020
Crossing Variational Autoencoders for Answer Retrieval
Answer retrieval is to find the most aligned answer from a large set of ...
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03/19/2020
Boosting Factual Correctness of Abstractive Summarization
A commonly observed problem with abstractive summarization is the distor...
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03/19/2020
Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph
A commonly observed problem with abstractive summarization is the distor...
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03/12/2020
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning
Path-based relational reasoning over knowledge graphs has become increas...
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01/28/2020
Improving Generalizability of Fake News Detection Methods using Propensity Score Matching
Recently, due to the booming influence of online social networks, detect...
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01/20/2020
A graph-based spatial temporal logic for knowledge representation and automated reasoning in cognitive robots
A new graph-based spatial temporal logic is proposed for knowledge repre...
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11/26/2019