Search Results for author:
Found 16 papers, 9 papers with code
PALI at SemEval-2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts
This paper describes our system used in the SemEval-2022 Task 7(Roth et al.): Identifying Plausible Clarifications of Implicit and Under-specified Phrases.
A Unified Propagation Forest-based Framework for Fake News Detection
Fake news’s quick propagation on social media brings severe social ramifications and economic damage.
PAIC at SemEval-2022 Task 5: Multi-Modal Misogynous Detection in MEMES with Multi-Task Learning And Multi-model Fusion
This paper describes our system used in the SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification (MAMI).
PALI-NLP at SemEval-2022 Task 6: iSarcasmEval- Fine-tuning the Pre-trained Model for Detecting Intended Sarcasm
This paper describes the method we utilized in the SemEval-2022 Task 6 iSarcasmEval: Intended Sarcasm Detection In English and Arabic.
Uncertainty-aware Propagation Structure Reconstruction for Fake News Detection
In this paper, we propose a novel dual graph-based model, Uncertainty-aware Propagation Structure Reconstruction (UPSR) for improving fake news detection.
Structured Probabilistic Coding
It can enhance the generalization ability of pre-trained language models for better language understanding.
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations
To address this, we propose a supervised adversarial contrastive learning (SACL) framework for learning class-spread structured representations in a supervised manner.
Ranked #4 on
Emotion Recognition in Conversation
on EmoryNLP
UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis
To alleviate these, we propose a generalized multilingual system SACL-XLMR for sentiment analysis on low-resource languages.
Ranked #1 on
Zero-shot Sentiment Classification
on AfriSenti
VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding
Pre-trained language models have achieved promising performance on general benchmarks, but underperform when migrated to a specific domain.
PALI-NLP at SemEval-2022 Task 4: Discriminative Fine-tuning of Transformers for Patronizing and Condescending Language Detection
Patronizing and condescending language (PCL) has a large harmful impact and is difficult to detect, both for human judges and existing NLP systems.
Ranked #1 on
Binary Condescension Detection
on DPM
Binary Condescension Detection
Multi-label Condescension Detection
+2
MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations
For multimodal ERC, it is vital to understand context and fuse modality information in conversations.
Ranked #23 on
Emotion Recognition in Conversation
on IEMOCAP
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection
Detecting rumors on social media is a very critical task with significant implications to the economy, public health, etc.
PEN4Rec: Preference Evolution Networks for Session-based Recommendation
The process can strengthen the effect of relevant sequential behaviors during the preference evolution and weaken the disturbance from preference drifting.
Ranked #1 on
Session-Based Recommendations
on Last.FM
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations
Emotion Recognition in Conversations (ERC) has gained increasing attention for developing empathetic machines.
Ranked #14 on
Emotion Recognition in Conversation
on EmoryNLP
Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis
Furthermore, we design a Sentiment-based Rethinking mechanism (SR) by refining the HIN with sentiment label information to learn a more sentiment-aware document representation.
SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NER
Although character-based models using lexicon have achieved promising results for Chinese named entity recognition (NER) task, some lexical words would introduce erroneous information due to wrongly matched words.
Ranked #7 on
Chinese Named Entity Recognition
on Resume NER
Chinese Named Entity Recognition
named-entity-recognition
+3
