research
∙
07/30/2023
A Private Watermark for Large Language Models
Recently, text watermarking algorithms for large language models (LLMs) ...
share
research
∙
05/26/2023
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks
Relation extraction (RE) tasks show promising performance in extracting ...
research
∙
05/25/2023
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis
Multimodal relation extraction (MRE) is the task of identifying the sema...
research
∙
05/25/2023
Give Me More Details: Improving Fact-Checking with Latent Retrieval
Evidence plays a crucial role in automated fact-checking. When verifying...
research
∙
05/22/2023
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer
Cross-lingual natural language inference is a fundamental problem in cro...
research
∙
05/12/2023
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition
Named Entity Recognition (NER) is a well and widely studied task in natu...
research
∙
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...
research
∙
05/02/2023
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence
Real-world fact verification task aims to verify the factuality of a cla...
research
∙
11/11/2022
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction
Information Extraction (IE) aims to extract structured information from ...
research
∙
11/03/2022
Query-based Instance Discrimination Network for Relational Triple Extraction
Joint entity and relation extraction has been a core task in the field o...
research
∙
10/31/2022
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution
We propose the first character-level white-box adversarial attack method...
research
∙
10/19/2022
EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks
Data augmentation techniques have been used to improve the generalizatio...
research
∙
09/15/2022
Scene Graph Modification as Incremental Structure Expanding
A scene graph is a semantic representation that expresses the objects, a...
research
∙
08/27/2022
Domain-Specific NER via Retrieving Correlated Samples
Successful Machine Learning based Named Entity Recognition models could ...
research
∙
08/08/2022
Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph
The generalizability to new databases is of vital importance to Text-to-...
research
∙
05/31/2022
A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference
Natural Language Inference (NLI) is a growingly essential task in natura...
research
∙
05/04/2022
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
Unsupervised relation extraction aims to extract the relationship betwee...
research
∙
01/26/2022
Pair-Level Supervised Contrastive Learning for Natural Language Inference
Natural language inference (NLI) is an increasingly important task for n...
research
∙
01/18/2022
Inferring Commonsense Explanations as Prompts for Future Event Generation
Future Event Generation aims to generate fluent and reasonable future ev...
research
∙
09/14/2021
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
Low-resource Relation Extraction (LRE) aims to extract relation facts fr...
research
∙
09/08/2021
Towards Natural Language Interfaces for Data Visualization: A Survey
Utilizing Visualization-oriented Natural Language Interfaces (V-NLI) as ...
research
∙
04/06/2020