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Found 12 papers, 5 papers with code
Identifying Exaggerated Language
While hyperbole is one of the most prevalent rhetorical devices, it is arguably one of the least studied devices in the figurative language processing community.
Don’t Miss the Potential Customers! Retrieving Similar Ads to Improve User Targeting
User targeting is an essential task in the modern advertising industry: given a package of ads for a particular category of products (e. g., green tea), identify the online users to whom the ad package should be targeted.
Legal Judgment Prediction via Event Extraction with Constraints
While significant progress has been made on the task of Legal Judgment Prediction (LJP) in recent years, the incorrect predictions made by SOTA LJP models can be attributed in part to their failure to (1) locate the key event information that determines the judgment, and (2) exploit the cross-task consistency constraints that exist among the subtasks of LJP.
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Software Engineering Tasks
We hope that our findings can provide a deeper understanding of PEFT methods on various PTMs and SE downstream tasks.
Judicial Intelligent Assistant System: Extracting Events from Divorce Cases to Detect Disputes for the Judge
It is a difficult but necessary task to extract the key information for the cases from these textual materials and to clarify the dispute focus of related parties.
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models
Despite the recent advances showing that a model pre-trained on large-scale source code data is able to gain appreciable generalization capability, it still requires a sizeable amount of data on the target task for fine-tuning.
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code
In particular, the development and use of pre-trained models of source code has enabled state-of-the-art results to be achieved on a wide variety of SE tasks.
Neural Program Repair: Systems, Challenges and Solutions
Automated Program Repair (APR) aims to automatically fix bugs in the source code.
Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer
Given the fact of a case, Legal Judgment Prediction (LJP) involves a series of sub-tasks such as predicting violated law articles, charges and term of penalty.
AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization
Code summarization aims to generate brief natural language descriptions for source code.
Learning Fine-grained Fact-Article Correspondence in Legal Cases
We believe that learning fine-grained correspondence between each single fact and law articles is crucial for an accurate and trustworthy AI system.
Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse
We propose Parametric Weights Standardization (PWS), a fast and robust to mini-batch size module used for conv filters, to solve the shift of the average gradient.
