Knowledge graph embedding methods are important for the knowledge graph completion (or link prediction) task.
One state-of-the-art method, PairRE, leverages two separate vectors to model complex relations (i.e., 1-to-N, N-to-1, and N-to-N) in knowledge graphs. 
However, such a method strictly restricts entities on the hyper-ellipsoid surfaces which limits the optimization of entity distribution, leading to suboptimal performance of knowledge graph completion. 
To address this issue, we propose a novel score function TranSHER, which leverages relation-specific translations between head and tail entities to relax the constraint of hyper-ellipsoid restrictions. 
By introducing an intuitive and simple relation-specific translation, TranSHER can provide more direct guidance on optimization and capture more semantic characteristics of entities with complex relations. 
Experimental results show that TranSHER achieves state-of-the-art performance on link prediction and generalizes well to datasets in different domains and scales. 
Our codes are public available at
https://github.com/yizhilll/TranSHER.

TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction

**Topics:** Commonsense Reasoning
 Dialogue and Interactive Systems
 Discourse and Pragmatics
 Efficient Methods for NLP
 Ethics
 Information Extraction
 Information Retrieval and Text Mining
 Interpretability, Interactivity and Analysis of Models for NLP
 Language Modeling and Analysis of Language Models
 Linguistic Theories, Cognitive Modeling and Psycholinguistics
 Machine Learning for NLP
 Machine Learning for NLP (CL)
 Machine Translation
 Multilinguality

Poster Session 1

poster

## Welcome to EMNLP 2022!
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Our key innovations for EMNLP 2022 include:

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***EMNLP 2022 General Chair***
 
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EMNLP 2022

Welcome!
EMNLP 2022 will take place in Abu Dhabi from December 7th to December 11th, 2022. And it will be held in hybrid mode, both online and offline.

Jiang Qian

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TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction

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