Search Results for author: Yanghua Xiao

Found 59 papers, 29 papers with code

Parsing Natural Language into Propositional and First-Order Logic with Dual Reinforcement Learning

no code implementations COLING 2022 Xuantao Lu, Jingping Liu, Zhouhong Gu, Hanwen Tong, Chenhao Xie, Junyang Huang, Yanghua Xiao, Wenguang Wang

In this paper, we propose a scoring model to automatically learn a model-based reward, and an effective training strategy based on curriculum learning is further proposed to stabilize the training process.

Natural Language Inference reinforcement-learning +2

Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction

1 code implementation22 May 2023 Siyu Yuan, Jiangjie Chen, Xuyang Ge, Yanghua Xiao, Deqing Yang

Analogical reasoning is essential for human cognition, allowing us to comprehend new concepts by relating them to familiar ones based on common relational structures.

Question Answering

Distilling Script Knowledge from Large Language Models for Constrained Language Planning

1 code implementation9 May 2023 Siyu Yuan, Jiangjie Chen, Ziquan Fu, Xuyang Ge, Soham Shah, Charles Robert Jankowski, Yanghua Xiao, Deqing Yang

In everyday life, humans often plan their actions by following step-by-step instructions in the form of goal-oriented scripts.

Knowledge Distillation

Causality-aware Concept Extraction based on Knowledge-guided Prompting

1 code implementation3 May 2023 Siyu Yuan, Deqing Yang, Jinxi Liu, Shuyu Tian, Jiaqing Liang, Yanghua Xiao, Rui Xie

The prompt adopts the topic of the given entity from the existing knowledge in KGs to mitigate the spurious co-occurrence correlations between entities and biased concepts.

Knowledge Graphs Natural Language Understanding

GANTEE: Generative Adversatial Network for Taxonomy Entering Evaluation

no code implementations25 Mar 2023 Zhouhong Gu, Sihang Jiang, Jingping Liu, Yanghua Xiao, Hongwei Feng, Zhixu Li, Jiaqing Liang, Jian Zhong

The previous methods suffer from low-efficiency since they waste much time when most of the new coming concepts are indeed noisy concepts.

Taxonomy Expansion

MAPS-KB: A Million-scale Probabilistic Simile Knowledge Base

1 code implementation10 Dec 2022 Qianyu He, Xintao Wang, Jiaqing Liang, Yanghua Xiao

The ability to understand and generate similes is an imperative step to realize human-level AI.

Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review

no code implementations7 Dec 2022 Jiangjie Chen, Yanghua Xiao

The rapid development and application of natural language generation (NLG) techniques has revolutionized the field of automatic text production.

Text Generation

Group Buying Recommendation Model Based on Multi-task Learning

1 code implementation25 Nov 2022 Shuoyao Zhai, Baichuan Liu, Deqing Yang, Yanghua Xiao

Furthermore, we propose two auxiliary losses corresponding to the two sub-tasks, to refine the representation learning in our model.

Multi-Task Learning Representation Learning

Improving Continual Relation Extraction through Prototypical Contrastive Learning

no code implementations COLING 2022 Chengwei Hu, Deqing Yang, Haoliang Jin, Zhen Chen, Yanghua Xiao

Continual relation extraction (CRE) aims to extract relations towards the continuous and iterative arrival of new data, of which the major challenge is the catastrophic forgetting of old tasks.

Continual Relation Extraction Contrastive Learning

Generative Entity Typing with Curriculum Learning

1 code implementation6 Oct 2022 Siyu Yuan, Deqing Yang, Jiaqing Liang, Zhixu Li, Jinxi Liu, Jingyue Huang, Yanghua Xiao

To overcome these drawbacks, we propose a novel generative entity typing (GET) paradigm: given a text with an entity mention, the multiple types for the role that the entity plays in the text are generated with a pre-trained language model (PLM).

Entity Typing Language Modelling

Large-scale Multi-granular Concept Extraction Based on Machine Reading Comprehension

1 code implementation30 Aug 2022 Siyu Yuan, Deqing Yang, Jiaqing Liang, Jilun Sun, Jingyue Huang, Kaiyan Cao, Yanghua Xiao, Rui Xie

In order to supply existing KGs with more fine-grained and new concepts, we propose a novel concept extraction framework, namely MRC-CE, to extract large-scale multi-granular concepts from the descriptive texts of entities.

Knowledge Graphs Machine Reading Comprehension

Contextual Information and Commonsense Based Prompt for Emotion Recognition in Conversation

1 code implementation27 Jul 2022 Jingjie Yi, Deqing Yang, Siyu Yuan, Caiyan Cao, Zhiyao Zhang, Yanghua Xiao

The newly proposed ERC models have leveraged pre-trained language models (PLMs) with the paradigm of pre-training and fine-tuning to obtain good performance.

Emotion Recognition in Conversation Language Modelling

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

1 code implementation27 Jul 2022 Lyuxin Xue, Deqing Yang, Yanghua Xiao

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.

Sequential Recommendation

Language Models as Knowledge Embeddings

1 code implementation25 Jun 2022 Xintao Wang, Qianyu He, Jiaqing Liang, Yanghua Xiao

In this paper, we propose LMKE, which adopts Language Models to derive Knowledge Embeddings, aiming at both enriching representations of long-tail entities and solving problems of prior description-based methods.

Contrastive Learning Link Prediction +1

Tackling Math Word Problems with Fine-to-Coarse Abstracting and Reasoning

no code implementations17 May 2022 Ailisi Li, Xueyao Jiang, Bang Liu, Jiaqing Liang, Yanghua Xiao

Math Word Problems (MWP) is an important task that requires the ability of understanding and reasoning over mathematical text.

Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints

1 code implementation NAACL 2022 Chun Zeng, Jiangjie Chen, Tianyi Zhuang, Rui Xu, Hao Yang, Ying Qin, Shimin Tao, Yanghua Xiao

To this end, we propose a plug-in algorithm for this line of work, i. e., Aligned Constrained Training (ACT), which alleviates this problem by familiarizing the model with the source-side context of the constraints.


WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types

1 code implementation ACL 2022 Xuwu Wang, Junfeng Tian, Min Gui, Zhixu Li, Rui Wang, Ming Yan, Lihan Chen, Yanghua Xiao

In this paper, we present WikiDiverse, a high-quality human-annotated MEL dataset with diversified contextual topics and entity types from Wikinews, which uses Wikipedia as the corresponding knowledge base.

Entity Linking

Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision

1 code implementation28 Mar 2022 Sijie Cheng, Zhouhong Gu, Bang Liu, Rui Xie, Wei Wu, Yanghua Xiao

Specifically, i) to fully exploit user behavioral information, we extract candidate hyponymy relations that match user interests from query-click concepts; ii) to enhance the semantic information of new concepts and better detect hyponymy relations, we model concepts and relations through both user-generated content and structural information in existing taxonomies and user click logs, by leveraging Pre-trained Language Models and Graph Neural Network combined with Contrastive Learning; iii) to reduce the cost of dataset construction and overcome data skews, we construct a high-quality and balanced training dataset from existing taxonomy with no supervision.

Contrastive Learning Taxonomy Expansion

Can Pre-trained Language Models Interpret Similes as Smart as Human?

1 code implementation ACL 2022 Qianyu He, Sijie Cheng, Zhixu Li, Rui Xie, Yanghua Xiao

In this paper, we investigate the ability of PLMs in simile interpretation by designing a novel task named Simile Property Probing, i. e., to let the PLMs infer the shared properties of similes.

Sentiment Analysis Sentiment Classification

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

no code implementations Findings (ACL) 2022 Jiangjie Chen, Rui Xu, Ziquan Fu, Wei Shi, Zhongqiao Li, Xinbo Zhang, Changzhi Sun, Lei LI, Yanghua Xiao, Hao Zhou

Holding the belief that models capable of reasoning should be right for the right reasons, we propose a first-of-its-kind Explainable Knowledge-intensive Analogical Reasoning benchmark (E-KAR).

Explanation Generation Question Answering

Rule Mining over Knowledge Graphs via Reinforcement Learning

no code implementations21 Feb 2022 Lihan Chen, Sihang Jiang, Jingping Liu, Chao Wang, Sheng Zhang, Chenhao Xie, Jiaqing Liang, Yanghua Xiao, Rui Song

Knowledge graphs (KGs) are an important source repository for a wide range of applications and rule mining from KGs recently attracts wide research interest in the KG-related research community.

Knowledge Graphs reinforcement-learning +1

Multi-Modal Knowledge Graph Construction and Application: A Survey

no code implementations11 Feb 2022 Xiangru Zhu, Zhixu Li, Xiaodan Wang, Xueyao Jiang, Penglei Sun, Xuwu Wang, Yanghua Xiao, Nicholas Jing Yuan

In this survey on MMKGs constructed by texts and images, we first give definitions of MMKGs, followed with the preliminaries on multi-modal tasks and techniques.

graph construction Knowledge Graphs +1

Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation

no code implementations13 Jan 2022 Yuyan Chen, Yanghua Xiao, Bang Liu

In this research, we argue that the evidences of an answer is critical to enhancing the interpretability of QA models.

Informativeness Question Answering +1

Semantic-based Data Augmentation for Math Word Problems

no code implementations7 Jan 2022 Ailisi Li, Jiaqing Liang, Yanghua Xiao

In this paper, we propose a set of novel data augmentation approaches to supplement existing datasets with such data that are augmented with different kinds of local variances, and help to improve the generalization ability of current neural models.

Data Augmentation

Unsupervised Editing for Counterfactual Stories

1 code implementation10 Dec 2021 Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei LI

We also propose a new metric to alleviate the shortcomings of current automatic metrics and better evaluate the trade-off.

A Review on Graph Neural Network Methods in Financial Applications

no code implementations27 Nov 2021 Jianian Wang, Sheng Zhang, Yanghua Xiao, Rui Song

With multiple components and relations, financial data are often presented as graph data, since it could represent both the individual features and the complicated relations.

A Probit Tensor Factorization Model For Relational Learning

no code implementations6 Nov 2021 Ye Liu, Rui Song, Wenbin Lu, Yanghua Xiao

A large number of models and algorithms have been proposed to perform link prediction, among which tensor factorization method has proven to achieve state-of-the-art performance in terms of computation efficiency and prediction accuracy.

Knowledge Graphs Link Prediction +1

FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion

no code implementations21 Oct 2021 Sijie Cheng, Jingwen Wu, Yanghua Xiao, Yang Liu

Today data is often scattered among billions of resource-constrained edge devices with security and privacy constraints.

Federated Learning Image Classification

Relation Aware Semi-autoregressive Semantic Parsing for NL2SQL

no code implementations2 Aug 2021 Junyang Huang, Yongbo Wang, Yongliang Wang, Yang Dong, Yanghua Xiao

It first learns relation embedding over the schema entities and question words with predefined schema relations with ELECTRA and relation aware transformer layer as backbone.

Semantic Parsing

Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction

1 code implementation ACL 2021 Li Cui, Deqing Yang, Jiaxin Yu, Chengwei Hu, Jiayang Cheng, Jingjie Yi, Yanghua Xiao

As a typical task of continual learning, continual relation extraction (CRE) aims to extract relations between entities from texts, where the samples of different relations are delivered into the model continuously.

Continual Learning Continual Relation Extraction

Revisiting the Negative Data of Distantly Supervised Relation Extraction

1 code implementation ACL 2021 Chenhao Xie, Jiaqing Liang, Jingping Liu, Chengsong Huang, Wenhao Huang, Yanghua Xiao

Next, we formulate the problem of relation extraction into as a positive unlabeled learning task to alleviate false negative problem.

Relation Extraction

A Question-answering Based Framework for Relation Extraction Validation

no code implementations7 Apr 2021 Jiayang Cheng, Haiyun Jiang, Deqing Yang, Yanghua Xiao

However, few works have focused on how to validate and correct the results generated by the existing relation extraction models.

Question Answering Relation Extraction

Complex Relation Extraction: Challenges and Opportunities

no code implementations9 Dec 2020 Haiyun Jiang, Qiaoben Bao, Qiao Cheng, Deqing Yang, Li Wang, Yanghua Xiao

In recent years, many complex relation extraction tasks, i. e., the variants of simple binary relation extraction, are proposed to meet the complex applications in practice.

Binary Relation Extraction

Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty

1 code implementation19 Jun 2020 Junyang Jiang, Deqing Yang, Yanghua Xiao, Chenlu Shen

Most of existing embedding based recommendation models use embeddings (vectors) corresponding to a single fixed point in low-dimensional space, to represent users and items.

Recommendation Systems

A Knowledge-Enhanced Recommendation Model with Attribute-Level Co-Attention

no code implementations18 Jun 2020 Deqing Yang, Zengcun Song, Lvxin Xue, Yanghua Xiao

Deep neural networks (DNNs) have been widely employed in recommender systems including incorporating attention mechanism for performance improvement.

Knowledge Graphs Recommendation Systems

Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation

1 code implementation12 Jun 2020 Wenjing Meng, Deqing Yang, Yanghua Xiao

These insights motivate us to propose a novel SR model MKM-SR in this paper, which incorporates user Micro-behaviors and item Knowledge into Multi-task learning for Session-based Recommendation.

Multi-Task Learning Session-Based Recommendations

Collective Loss Function for Positive and Unlabeled Learning

no code implementations6 May 2020 Chenhao Xie, Qiao Cheng, Jiaqing Liang, Lihan Chen, Yanghua Xiao

On the contrary, traditional machine learning algorithms often rely on negative examples, otherwise the model would be prone to collapse and always-true predictions.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks

1 code implementation28 Aug 2019 Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang

Low-dimensional embeddings of knowledge graphs and behavior graphs have proved remarkably powerful in varieties of tasks, from predicting unobserved edges between entities to content recommendation.

General Classification Knowledge Graph Embedding +3

Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation

no code implementations ACL 2019 Jiangjie Chen, Ao Wang, Haiyun Jiang, Suo Feng, Chenguang Li, Yanghua Xiao

A type description is a succinct noun compound which helps human and machines to quickly grasp the informative and distinctive information of an entity.

Knowledge Graphs

KBQA: Learning Question Answering over QA Corpora and Knowledge Bases

no code implementations6 Mar 2019 Wanyun Cui, Yanghua Xiao, Haixun Wang, Yangqiu Song, Seung-won Hwang, Wei Wang

Based on these templates, our QA system KBQA effectively supports binary factoid questions, as well as complex questions which are composed of a series of binary factoid questions.

Question Answering

Deep Short Text Classification with Knowledge Powered Attention

1 code implementation21 Feb 2019 Jindong Chen, Yizhou Hu, Jingping Liu, Yanghua Xiao, Haiyun Jiang

For the purpose of measuring the importance of knowledge, we introduce attention mechanisms and propose deep Short Text Classification with Knowledge powered Attention (STCKA).

General Classification text-classification +1

Verb Pattern: A Probabilistic Semantic Representation on Verbs

no code implementations20 Oct 2017 Wanyun Cui, Xiyou Zhou, Hangyu Lin, Yanghua Xiao, Haixun Wang, Seung-won Hwang, Wei Wang

In this paper, we introduce verb patterns to represent verbs' semantics, such that each pattern corresponds to a single semantic of the verb.


Entity Suggestion by Example using a Conceptual Taxonomy

no code implementations29 Nov 2015 Yi Zhang, Yanghua Xiao, Seung-won Hwang, Haixun Wang, X. Sean Wang, Wei Wang

This paper provides a query processing method based on the relevance models between entity sets and concepts.

Cannot find the paper you are looking for? You can Submit a new open access paper.