Yanghua Xiao

Modeling Multi-mapping Relations for Precise Cross-lingual Entity Alignment

2019

Xiaofei Shi, Yanghua Xiao. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.

E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning

2022 · Findings of the Association for Computational Linguistics: ACL 2022

The ability to recognize analogies is fundamental to human cognition. Existing benchmarks to test word analogy do not reveal the underneath process of analogical reasoning of neural models. Holding the belief that models capable of …

Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential Recommendation

2022 · arXiv (Cornell University)

Most sequential recommendation (SR) systems employing graph neural networks (GNNs) only model a user's interaction sequence as a flat graph without hierarchy, overlooking diverse factors in the user's preference. Moreover, the timespan between interacted items …

Converge to the Truth: Factual Error Correction via Iterative Constrained Editing

2023 · Proceedings of the AAAI Conference on Artificial Intelligence

Given a possibly false claim sentence, how can we automatically correct it with minimal editing? Existing methods either require a large number of pairs of false and corrected claims for supervised training or do not …

Generative Entity Typing with Curriculum Learning

2022

Entity typing aims to assign types to the entity mentions in given texts. The traditional classification-based entity typing paradigm has two unignorable drawbacks: 1) it fails to assign an entity to the types beyond the …

Hierarchical Prompt Tuning for Few-Shot Multi-Task Learning

2023

Prompt tuning has enhanced the performance of Pre-trained Language Models for multi-task learning in few-shot scenarios. However, existing studies fail to consider that the prompts among different layers in Transformer are different due to the …

Negation Triplet Extraction with Syntactic Dependency and Semantic Consistency

2024 · arXiv (Cornell University)

Previous works of negation understanding mainly focus on negation cue detection and scope resolution, without identifying negation subject which is also significant to the downstream tasks. In this paper, we propose a new negation triplet …

SEGMENT+: Long Text Processing with Short-Context Language Models

2024 · arXiv (Cornell University)

There is a growing interest in expanding the input capacity of language models (LMs) across various domains. However, simply increasing the context window does not guarantee robust performance across diverse long-input processing tasks, such as …

BOOKWORLD: From Novels to Interactive Agent Societies for Story Creation

2025

Recent advances in large language models (LLMs) have enabled social simulation through multi-agent systems.Prior efforts focus on agent societies created from scratch, assigning agents with newly defined personas.However, simulating established fictional worlds and characters remain …

KBQA

2017 · Proceedings of the VLDB Endowment

Question answering (QA) has become a popular way for humans to access billion-scale knowledge bases. Unlike web search, QA over a knowledge base gives out accurate and concise results, provided that natural language questions can …

A Knowledge-Enhanced Deep Recommendation Framework Incorporating GAN-Based Models

2018

Although many researchers of recommender systems have noted that encoding user-item interactions based on DNNs promotes the performance of collaborative filtering, they ignore that embedding the latent features collected from external sources, e.g., knowledge graphs …