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Found 15 papers, 6 papers with code
CCTC: A Cross-Sentence Chinese Text Correction Dataset for Native Speakers
The Chinese text correction (CTC) focuses on detecting and correcting Chinese spelling errors and grammatical errors.
FLEXTAF: Enhancing Table Reasoning with Flexible Tabular Formats
Most existing methods employ a fixed tabular format to represent the table, which could limit the performance.
SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model
Large language models (LLMs) have shown remarkable achievements across various language tasks. To enhance the performance of LLMs in scientific literature services, we developed the scientific literature LLM (SciLit-LLM) through pre-training and supervised fine-tuning on scientific literature, building upon the iFLYTEK Spark LLM.
Improving Grammatical Error Correction via Contextual Data Augmentation
Nowadays, data augmentation through synthetic data has been widely used in the field of Grammatical Error Correction (GEC) to alleviate the problem of data scarcity.
LM-Combiner: A Contextual Rewriting Model for Chinese Grammatical Error Correction
In this light, we propose the LM-Combiner, a rewriting model that can directly modify the over-correction of GEC system outputs without a model ensemble.
CSED: A Chinese Semantic Error Diagnosis Corpus
Our experiments show that powerful pre-trained models perform poorly on this corpus.
Overview of CTC 2021: Chinese Text Correction for Native Speakers
In this paper, we present an overview of the CTC 2021, a Chinese text correction task for native speakers.
Improving Pre-trained Language Models with Syntactic Dependency Prediction Task for Chinese Semantic Error Recognition
These errors have been studied extensively and are relatively simple for humans.
CINO: A Chinese Minority Pre-trained Language Model
It covers Standard Chinese, Yue Chinese, and six other ethnic minority languages.
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities
Knowledge graph embedding (KGE) models learn the representation of entities and relations in knowledge graphs.
Ranked #4 on
Link Property Prediction
on ogbl-wikikg2
Combining ResNet and Transformer for Chinese Grammatical Error Diagnosis
Grammatical error diagnosis is an important task in natural language processing.
CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension
We present a Chinese judicial reading comprehension (CJRC) dataset which contains approximately 10K documents and almost 50K questions with answers.
IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis
To our knowledge, IFlyLegal is the first Chinese legal system that employs up-to-date NLP techniques and caters for needs of different user groups, such as lawyers, judges, procurators, and clients.
Disconnected Recurrent Neural Networks for Text Categorization
Recurrent neural network (RNN) has achieved remarkable performance in text categorization.
Ranked #2 on
Text Classification
on Yahoo! Answers
