research
∙
09/21/2023
InstructERC: Reforming Emotion Recognition in Conversation with a Retrieval Multi-task LLMs Framework
The development of emotion recognition in dialogue (ERC) has been consis...
share
research
∙
08/28/2023
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA
Knowledge Base Question Answering (KBQA) aims to answer natural language...
research
∙
08/25/2023
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering
Equipped with Chain-of-Thought (CoT), Large language models (LLMs) have ...
research
∙
06/14/2023
T5-SR: A Unified Seq-to-Seq Decoding Strategy for Semantic Parsing
Translating natural language queries into SQLs in a seq2seq manner has a...
research
∙
02/24/2023
Time-aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering
Knowledge graphs (KGs) have received increasing attention due to its wid...
research
∙
11/06/2022
Robust Lottery Tickets for Pre-trained Language Models
Recent works on Lottery Ticket Hypothesis have shown that pre-trained la...
research
∙
10/22/2022
PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models
A wide range of NLP tasks benefit from the fine-tuning of pretrained lan...
research
∙
10/16/2022
Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion
Transformer-based pre-trained models like BERT have achieved great progr...
research
∙
10/07/2022
DABERT: Dual Attention Enhanced BERT for Semantic Matching
Transformer-based pre-trained language models such as BERT have achieved...
research
∙
08/31/2022
Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation
Demonstration learning aims to guide the prompt prediction via providing...
research
∙
06/07/2022
Searching for Optimal Subword Tokenization in Cross-domain NER
Input distribution shift is one of the vital problems in unsupervised do...
research
∙
03/08/2022
InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NER
Recently, prompt-based methods have achieved significant performance in ...
research
∙
12/16/2021
Pay More Attention to History: A Context Modeling Strategy for Conversational Text-to-SQL
Conversational text-to-SQL aims at converting multi-turn natural languag...
research
∙
09/13/2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
Recent works have shown that powerful pre-trained language models (PLM) ...
research
∙
05/25/2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
Learning high-quality sentence representations benefits a wide range of ...
research
∙
08/19/2020
Leveraging Historical Interaction Data for Improving Conversational Recommender System
Recently, conversational recommender system (CRS) has become an emerging...
research
∙
08/18/2020
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Recently, significant progress has been made in sequential recommendatio...
research
∙
08/05/2020
