Search Results for author:
Found 9 papers, 2 papers with code
K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning
Automatic psychological counseling requires mass of professional knowledge that can be found in online counseling forums.
Type-aware Decoding via Explicitly Aggregating Event Information for Document-level Event Extraction
Although previous methods attempt to address these challenges, they overlook the interference of event-unrelated sentences during event detection and neglect the mutual interference of different event roles during argument extraction.
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction
Most current Event Extraction (EE) methods focus on the high-resource scenario, which requires a large amount of annotated data and can hardly be applied to low-resource domains.
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task
Recently, prompt-based generative frameworks have shown impressive capabilities in sequence labeling tasks.
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER
The objective of few-shot named entity recognition is to identify named entities with limited labeled instances.
Ranked #1 on
Few-shot NER
on Few-NERD (INTER)
PCRED: Zero-shot Relation Triplet Extraction with Potential Candidate Relation Selection and Entity Boundary Detection
To address the above issues, we propose a novel method named PCRED for ZeroRTE with Potential Candidate Relation Selection and Entity Boundary Detection.
High-α-Metal-Rich stars in the LAMOST-MRS survey and its connection with the galactic bulge
A tentative interpretation of this special group is that its stars were formed in the X-shaped bar/bulge region, close to its corotation radius, where radial migration is the most intense, and brings them to present locations at 9 kpc and beyond.
Astrophysics of Galaxies Solar and Stellar Astrophysics
Exploring the Galactic Anticenter substructure with LAMOST & Gaia DR2
Their location in [$\alpha$/M] vs. [M/H] space is more metal poor than typical thin disk stars, with [$\alpha$/M] \textbf{lower} than the thick disk.
Astrophysics of Galaxies
Applications of BERT Based Sequence Tagging Models on Chinese Medical Text Attributes Extraction
We convert the Chinese medical text attributes extraction task into a sequence tagging or machine reading comprehension task.
