Search Results for author: Yanghua Xiao

Found 97 papers, 47 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

From Persona to Personalization: A Survey on Role-Playing Language Agents

no code implementations28 Apr 2024 Jiangjie Chen, Xintao Wang, Rui Xu, Siyu Yuan, Yikai Zhang, Wei Shi, Jian Xie, Shuang Li, Ruihan Yang, Tinghui Zhu, Aili Chen, Nianqi Li, Lida Chen, Caiyu Hu, Siye Wu, Scott Ren, Ziquan Fu, Yanghua Xiao

Through this work, we aim to establish a clear taxonomy of RPLA research and applications, and facilitate future research in this critical and ever-evolving field, and pave the way for a future where humans and RPLAs coexist in harmony.

In-Context Learning Instruction Following

From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models

1 code implementation24 Apr 2024 Qianyu He, Jie Zeng, Qianxi He, Jiaqing Liang, Yanghua Xiao

It is imperative for Large language models (LLMs) to follow instructions with elaborate requirements (i. e. Complex Instructions Following).

Instruction Following

AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation

1 code implementation19 Apr 2024 Wenhao Huang, Chenghao Peng, Zhixu Li, Jiaqing Liang, Yanghua Xiao, Liqian Wen, Zulong Chen

We propose AutoCrawler, a two-stage framework that leverages the hierarchical structure of HTML for progressive understanding.

Action Generation

Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience

no code implementations16 Apr 2024 Haixia Han, Tingyun Li, Shisong Chen, Jie Shi, Chengyu Du, Yanghua Xiao, Jiaqing Liang, Xin Lin

Specifically, we first identify three key problems: (1) How to capture the inherent confidence of the LLM?

Negation Triplet Extraction with Syntactic Dependency and Semantic Consistency

1 code implementation15 Apr 2024 Yuchen Shi, Deqing Yang, Jingping Liu, Yanghua Xiao, ZongYu Wang, Huimin Xu

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.

Decoder Language Modelling +3

SurveyAgent: A Conversational System for Personalized and Efficient Research Survey

no code implementations9 Apr 2024 Xintao Wang, Jiangjie Chen, Nianqi Li, Lida Chen, Xinfeng Yuan, Wei Shi, Xuyang Ge, Rui Xu, Yanghua Xiao

In the rapidly advancing research fields such as AI, managing and staying abreast of the latest scientific literature has become a significant challenge for researchers.

Management Question Answering

Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding

no code implementations4 Apr 2024 Yanda Li, Dixuan Wang, Jiaqing Liang, Guochao Jiang, Qianyu He, Yanghua Xiao, Deqing Yang

Large Language Models (LLMs) have demonstrated good performance in many reasoning tasks, but they still struggle with some complicated reasoning tasks including logical reasoning.

Logical Fallacies Logical Reasoning

How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?

1 code implementation4 Apr 2024 Siye Wu, Jian Xie, Jiangjie Chen, Tinghui Zhu, Kai Zhang, Yanghua Xiao

By leveraging the retrieval of information from external knowledge databases, Large Language Models (LLMs) exhibit enhanced capabilities for accomplishing many knowledge-intensive tasks.


AgentGroupChat: An Interactive Group Chat Simulacra For Better Eliciting Emergent Behavior

1 code implementation20 Mar 2024 Zhouhong Gu, Xiaoxuan Zhu, Haoran Guo, Lin Zhang, Yin Cai, Hao Shen, Jiangjie Chen, Zheyu Ye, Yifei Dai, Yan Gao, Yao Hu, Hongwei Feng, Yanghua Xiao

Language significantly influences the formation and evolution of Human emergent behavior, which is crucial in understanding collective intelligence within human societies.

The Missing Piece in Model Editing: A Deep Dive into the Hidden Damage Brought By Model Editing

no code implementations12 Mar 2024 Jianchen Wang, Zhouhong Gu, Zhuozhi Xiong, Hongwei Feng, Yanghua Xiao

Large Language Models have revolutionized numerous tasks with their remarkable efficacy. However, the editing of these models, crucial for rectifying outdated or erroneous information, often leads to a complex issue known as the ripple effect in the hidden space.

Model Editing

OVEL: Large Language Model as Memory Manager for Online Video Entity Linking

no code implementations3 Mar 2024 Haiquan Zhao, Xuwu Wang, Shisong Chen, Zhixu Li, Xin Zheng, Yanghua Xiao

In this paper, we propose a task called Online Video Entity Linking OVEL, aiming to establish connections between mentions in online videos and a knowledge base with high accuracy and timeliness.

Entity Linking Language Modelling +2

GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick

1 code implementation20 Feb 2024 Jiayi Fu, Xuandong Zhao, Ruihan Yang, Yuansen Zhang, Jiangjie Chen, Yanghua Xiao

Large language models (LLMs) excellently generate human-like text, but also raise concerns about misuse in fake news and academic dishonesty.

Language Modelling

TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation

no code implementations8 Feb 2024 Yikai Zhang, Siyu Yuan, Caiyu Hu, Kyle Richardson, Yanghua Xiao, Jiangjie Chen

Despite remarkable advancements in emulating human-like behavior through Large Language Models (LLMs), current textual simulations do not adequately address the notion of time.

TravelPlanner: A Benchmark for Real-World Planning with Language Agents

1 code implementation2 Feb 2024 Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, Yu Su

Are these language agents capable of planning in more complex settings that are out of the reach of prior AI agents?

Exploiting Duality in Open Information Extraction with Predicate Prompt

1 code implementation20 Jan 2024 Zhen Chen, Jingping Liu, Deqing Yang, Yanghua Xiao, Huimin Xu, ZongYu Wang, Rui Xie, Yunsen Xian

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.

Open Information Extraction Sentence

Small Language Model Can Self-correct

no code implementations14 Jan 2024 Haixia Han, Jiaqing Liang, Jie Shi, Qianyu He, Yanghua Xiao

In this paper, we introduce the \underline{I}ntrinsic \underline{S}elf-\underline{C}orrection (ISC) in generative language models, aiming to correct the initial output of LMs in a self-triggered manner, even for those small LMs with 6 billion parameters.

Language Modelling

ConcEPT: Concept-Enhanced Pre-Training for Language Models

no code implementations11 Jan 2024 Xintao Wang, Zhouhong Gu, Jiaqing Liang, Dakuan Lu, Yanghua Xiao, Wei Wang

In this paper, we propose ConcEPT, which stands for Concept-Enhanced Pre-Training for language models, to infuse conceptual knowledge into PLMs.

Entity Linking Entity Typing

Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception

no code implementations29 Dec 2023 Yuncheng Huang, Qianyu He, Jiaqing Liang, Sihang Jiang, Yanghua Xiao, Yunwen Chen

Hence, we present a framework to enhance the quantitative reasoning ability of language models based on dimension perception.

M2ConceptBase: A Fine-grained Aligned Multi-modal Conceptual Knowledge Base

no code implementations16 Dec 2023 Zhiwei Zha, Jiaan Wang, Zhixu Li, Xiangru Zhu, Wei Song, Yanghua Xiao

To collect concept-image and concept-description alignments, we propose a context-aware multi-modal symbol grounding approach that considers context information in existing large-scale image-text pairs with respect to each concept.

Language Modelling Large Language Model +1

Towards Visual Taxonomy Expansion

1 code implementation12 Sep 2023 Tinghui Zhu, Jingping Liu, Jiaqing Liang, Haiyun Jiang, Yanghua Xiao, ZongYu Wang, Rui Xie, Yunsen Xian

Specifically, on the Chinese taxonomy dataset, our method significantly improves accuracy by 8. 75 %.

Taxonomy Expansion

Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Models

1 code implementation26 Aug 2023 Shuang Li, Jiangjie Chen, Siyu Yuan, Xinyi Wu, Hao Yang, Shimin Tao, Yanghua Xiao

To translate well, machine translation (MT) systems and general-purposed language models (LMs) need a deep understanding of both source and target languages and cultures.

Machine Translation Translation

KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases

no code implementations17 Aug 2023 Xintao Wang, Qianwen Yang, Yongting Qiu, Jiaqing Liang, Qianyu He, Zhouhong Gu, Yanghua Xiao, Wei Wang

Large language models (LLMs) have demonstrated impressive impact in the field of natural language processing, but they still struggle with several issues regarding, such as completeness, timeliness, faithfulness and adaptability.

Retrieval World Knowledge

AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities

1 code implementation9 Aug 2023 Jingdan Zhang, Jiaan Wang, Xiaodan Wang, Zhixu Li, Yanghua Xiao

Multi-modal knowledge graphs (MMKGs) combine different modal data (e. g., text and image) for a comprehensive understanding of entities.

Extract Aspect Image Retrieval +2

Piecing Together Clues: A Benchmark for Evaluating the Detective Skills of Large Language Models

no code implementations11 Jul 2023 Zhouhong Gu, Lin Zhang, Jiangjie Chen, Haoning Ye, Xiaoxuan Zhu, Zihan Li, Zheyu Ye, Yan Gao, Yao Hu, Yanghua Xiao, Hongwei Feng

We introduces the DetectBench, a reading comprehension dataset designed to assess a model's ability to jointly ability in key information detection and multi-hop reasoning when facing complex and implicit information.

Common Sense Reasoning Decision Making +2

M3PT: A Multi-Modal Model for POI Tagging

no code implementations16 Jun 2023 Jingsong Yang, Guanzhou Han, Deqing Yang, Jingping Liu, Yanghua Xiao, Xiang Xu, Baohua Wu, Shenghua Ni

In this paper, we propose a novel Multi-Modal Model for POI Tagging, namely M3PT, which achieves enhanced POI tagging through fusing the target POI's textual and visual features, and the precise matching between the multi-modal representations.

Contrastive Learning

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

The vital role of analogical reasoning in human cognition allows us to grasp novel concepts by linking them with familiar ones through shared relational structures.

Novel Concepts 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.

Generative Adversarial Network Taxonomy Expansion

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

2 code implementations10 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 +1

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.

Descriptive Knowledge Graphs +1

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

3 code implementations 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 +2

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 Math

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.

Relation 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 +1

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 +1

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 Relation

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.

Attribute Knowledge Graphs +1

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.

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