Search Results for author:
Found 23 papers, 10 papers with code
Biomedical Concept Normalization by Leveraging Hypernyms
Biomedical Concept Normalization (BCN) is widely used in biomedical text processing as a fundamental module.
Classification, Extraction, and Normalization : CASIA_Unisound Team at the Social Media Mining for Health 2021 Shared Tasks
This is the system description of the CASIA_Unisound team for Task 1, Task 7b, and Task 8 of the sixth Social Media Mining for Health Applications (SMM4H) shared task in 2021.
CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset
2) Inconsistency Detector: CroAno employs a detector to locate corpus-level label inconsistency and provides users an interface to correct inconsistent entities in batches.
CASIA@SMM4H’22: A Uniform Health Information Mining System for Multilingual Social Media Texts
This paper presents a description of our system in SMM4H-2022, where we participated in task 1a, task 4, and task 6 to task 10.
Imagination Augmented Generation: Learning to Imagine Richer Context for Question Answering over Large Language Models
Retrieval-Augmented-Generation and Gener-ation-Augmented-Generation have been proposed to enhance the knowledge required for question answering over Large Language Models (LLMs).
The Da Vinci Code of Large Pre-trained Language Models: Deciphering Degenerate Knowledge Neurons
This paper provides a comprehensive definition of DKNs that covers both structural and functional aspects, pioneering the study of structures in PLMs' factual knowledge storage units.
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint
Large language models internalize enormous parametric knowledge during pre-training.
ControlLM: Crafting Diverse Personalities for Language Models
This heightens the need to control model behaviors.
Oasis: Data Curation and Assessment System for Pretraining of Large Language Models
To this end, we present a pretraining corpus curation and assessment platform called Oasis -- a one-stop system for data quality improvement and quantification with user-friendly interactive interfaces.
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models
To this end, we propose the ZhuJiu benchmark, which has the following strengths: (1) Multi-dimensional ability coverage: We comprehensively evaluate LLMs across 7 ability dimensions covering 51 tasks.
LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models
With the burgeoning development in the realm of large language models (LLMs), the demand for efficient incremental training tailored to specific industries and domains continues to increase.
Large Language Models are Better Reasoners with Self-Verification
By performing a backward verification of the answers that LLM deduced for itself, we can obtain interpretable answer validation scores to select the candidate answer with the highest score.
Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism
The ICD coding task aims at assigning codes of the International Classification of Diseases in clinical notes.
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion
To address the above issues, this paper proposes two novel path-based reasoning methods to solve the sparsity issues of entity and path respectively, which adopts the textual semantic information of entities and paths for MedKGC.
Joint Entity and Relation Extraction with Set Prediction Networks
Compared with cross-entropy loss that highly penalizes small shifts in triple order, the proposed bipartite matching loss is invariant to any permutation of predictions; thus, it can provide the proposed networks with a more accurate training signal by ignoring triple order and focusing on relation types and entities.
Ranked #1 on
Joint Entity and Relation Extraction
on NYT
MIE: A Medical Information Extractor towards Medical Dialogues
Electronic Medical Records (EMRs) have become key components of modern medical care systems.
Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes
In this paper, we introduce Clinical-Coder, an online system aiming to assign ICD codes to Chinese clinical notes.
HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding
Specifically, we propose a hyperbolic representation method to leverage the code hierarchy.
Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning
Existing works didn{'}t consider the extraction order of relational facts in a sentence.
Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network
The lack of word boundaries information has been seen as one of the main obstacles to develop a high performance Chinese named entity recognition (NER) system.
Ranked #11 on
Chinese Named Entity Recognition
on Weibo NER
Chinese Named Entity Recognition
named-entity-recognition
+2
Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking
How to integrate the semantic information of pre-defined ontology and dialogue text (heterogeneous texts) to generate unknown values and improve performance becomes a severe challenge.
CBOWRA: A Representation Learning Approach for Medication Anomaly Detection
Electronic health record is an important source for clinical researches and applications, and errors inevitably occur in the data, which could lead to severe damages to both patients and hospital services.
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism
However, existing methods for Chinese NER either do not exploit word boundary information from CWS or cannot filter the specific information of CWS.
Ranked #1 on
Chinese Named Entity Recognition
on SighanNER
Chinese Named Entity Recognition
Chinese Word Segmentation
+4
