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09/06/2023
HC3 Plus: A Semantic-Invariant Human ChatGPT Comparison Corpus
ChatGPT has gained significant interest due to its impressive performanc...
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08/16/2023
Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval
In this paper, we systematically study the potential of pre-training wit...
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06/07/2023
ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems
Dialogue response selection aims to select an appropriate response from ...
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06/02/2023
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations
Extracting generalized and robust representations is a major challenge i...
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06/01/2023
UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis
This paper describes our system designed for SemEval-2023 Task 12: Senti...
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04/25/2023
PUNR: Pre-training with User Behavior Modeling for News Recommendation
News recommendation aims to predict click behaviors based on user behavi...
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04/20/2023
CoT-MoTE: Exploring ConTextual Masked Auto-Encoder Pre-training with Mixture-of-Textual-Experts for Passage Retrieval
Passage retrieval aims to retrieve relevant passages from large collecti...
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04/05/2023
CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for Passage Retrieval
Growing techniques have been emerging to improve the performance of pass...
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12/19/2022
Query-as-context Pre-training for Dense Passage Retrieval
This paper presents a pre-training technique called query-as-context tha...
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10/17/2022
Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation
Capturing emotions within a conversation plays an essential role in mode...
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10/13/2022
RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval
Video language pre-training methods have mainly adopted sparse sampling ...
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10/08/2022
InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings
Contrastive learning has been extensively studied in sentence embedding ...
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08/16/2022
ConTextual Mask Auto-Encoder for Dense Passage Retrieval
Dense passage retrieval aims to retrieve the relevant passages of a quer...
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06/07/2022
Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation
The emotion recognition in conversation (ERC) task aims to predict the e...
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05/04/2022
Multi-Granularity Semantic Aware Graph Model for Reducing Position Bias in Emotion-Cause Pair Extraction
The Emotion-Cause Pair Extraction (ECPE) task aims to extract emotions a...
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03/27/2022
HELoC: Hierarchical Contrastive Learning of Source Code Representation
Abstract syntax trees (ASTs) play a crucial role in source code represen...
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02/28/2022
Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks
Before entering the neural network, a token is generally converted to th...
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12/10/2021
DisCo: Effective Knowledge Distillation For Contrastive Learning of Sentence Embeddings
Contrastive learning has been proven suitable for learning sentence embe...
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09/09/2021
ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding
Contrastive learning has been attracting much attention for learning uns...
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09/09/2021
Smoothed Contrastive Learning for Unsupervised Sentence Embedding
Contrastive learning has been gradually applied to learn high-quality un...
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07/26/2021
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection
Detecting rumors on social media is a very critical task with significan...
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06/17/2021
PEN4Rec: Preference Evolution Networks for Session-based Recommendation
Session-based recommendation aims to predict user the next action based ...
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05/10/2021
SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media
The rapid development of social media changes the lifestyle of people an...
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03/29/2021
Embedding API Dependency Graph for Neural Code Generation
The problem of code generation from textual program descriptions has lon...
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12/08/2020
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning
The dissemination of fake news significantly affects personal reputation...
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07/16/2020
Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis
Document-level Sentiment Analysis (DSA) is more challenging due to vague...
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06/09/2020
DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction
Information diffusion prediction is a fundamental task for understanding...
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05/25/2020
AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization
Withthegrowthofknowledgegraphs, entity descriptions are becoming extreme...
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04/12/2020
Pre-training Text Representations as Meta Learning
Pre-training text representations has recently been shown to significant...
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02/22/2020
Data Augmentation for Copy-Mechanism in Dialogue State Tracking
While several state-of-the-art approaches to dialogue state tracking (DS...
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11/09/2019
Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification
Automatically labeling multiple styles for every song is a comprehensive...
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09/10/2019
Jointly embedding the local and global relations of heterogeneous graph for rumor detection
The development of social media has revolutionized the way people commun...
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09/10/2019
Learning review representations from user and product level information for spam detection
Opinion spam has become a widespread problem in social media, where hire...
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09/09/2019
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
Commonsense question answering aims to answer questions which require ba...
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09/05/2019
TransSent: Towards Generation of Structured Sentences with Discourse Marker
This paper focuses on the task of generating long structured sentences w...
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08/21/2019
"Mask and Infill" : Applying Masked Language Model to Sentiment Transfer
This paper focuses on the task of sentiment transfer on non-parallel tex...
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03/28/2019
Imbalanced Sentiment Classification Enhanced with Discourse Marker
Imbalanced data commonly exists in real world, espacially in sentiment-r...
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01/21/2019
AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep Deep Neural Networks
Typically, Ultra-deep neural network(UDNN) tends to yield high-quality m...
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12/17/2018