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Found 10 papers, 8 papers with code
Negation Triplet Extraction with Syntactic Dependency and Semantic Consistency
To achieve NTE, we devise a novel Syntax&Semantic-Enhanced Negation Extraction model, namely SSENE, which is built based on a generative pretrained language model (PLM) {of Encoder-Decoder architecture} with a multi-task learning framework.
Don't Forget Your Reward Values: Language Model Alignment via Value-based Calibration
While Reinforcement Learning from Human Feedback (RLHF) significantly enhances the generation quality of Large Language Models (LLMs), recent studies have raised concerns regarding the complexity and instability associated with the Proximal Policy Optimization (PPO) algorithm, proposing a series of order-based calibration methods as viable alternatives.
Exploiting Duality in Open Information Extraction with Predicate Prompt
Open information extraction (OpenIE) aims to extract the schema-free triplets in the form of (\emph{subject}, \emph{predicate}, \emph{object}) from a given sentence.
Team Power Dynamics and Team Impact: New Perspectives on Scientific Collaboration using Career Age as a Proxy for Team Power
In Science of Science, few studies have looked at scientific collaboration from the perspective of team power dynamics.
Relational Reflection Entity Alignment
Entity alignment aims to identify equivalent entity pairs from different Knowledge Graphs (KGs), which is essential in integrating multi-source KGs.
Ranked #3 on
Entity Alignment
on DICEWS-1K
The Geometry of Information Cocoon: Analyzing the Cultural Space with Word Embedding Models
In contrast, the people of higher social class have more capability to stride over the constraints of information cocoon.
Computers and Society
MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph
To tackle these challenges, we propose a novel Meta Relation Aware Entity Alignment (MRAEA) to directly model cross-lingual entity embeddings by attending over the node's incoming and outgoing neighbors and its connected relations' meta semantics.
Ranked #17 on
Entity Alignment
on DBP15k zh-en
Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title
Supplementing product information by extracting attribute values from title is a crucial task in e-Commerce domain.
The Cinderella Complex: Word Embeddings Reveal ender Stereotypes in Movies and Books
Our analysis of thousands of movies and books reveals how these cultural products weave stereotypical gender roles into morality tales and perpetuate gender inequality through storytelling.
ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning Models
This paper describes our submissions to SemEval 2018 task 1.
