Search Results for author: Xiang Zhao

Found 16 papers, 6 papers with code

Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering

no code implementations CoNLL (EMNLP) 2021 Junxing Wang, Xinyi Li, Zhen Tan, Xiang Zhao, Weidong Xiao

A bidirectional attention mechanism is applied between the question sequence and the paths that connect entities, which provides us with transparent interpretability.

Knowledge Graphs Question Answering

Multi-modal Entity Alignment in Hyperbolic Space

no code implementations7 Jun 2021 Hao Guo, Jiuyang Tang, Weixin Zeng, Xiang Zhao, Li Liu

To mitigate this problem, a viable approach is to integrate complementary knowledge from other MMKGs.

Entity Alignment Knowledge Graphs

Towards Entity Alignment in the Open World: An Unsupervised Approach

1 code implementation26 Jan 2021 Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng

These preliminary results are regarded as the pseudo-labeled data and forwarded to the progressive learning framework to generate structural representations, which are integrated with the side information to provide a more comprehensive view for alignment.

Entity Alignment Knowledge Graphs

Reinforcement Learning based Collective Entity Alignment with Adaptive Features

1 code implementation5 Jan 2021 Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin, Paul Groth

Entity alignment (EA) is the task of identifying the entities that refer to the same real-world object but are located in different knowledge graphs (KGs).

Decision Making Entity Alignment +1

Joint Event Extraction with Hierarchical Policy Network

no code implementations COLING 2020 Peixin Huang, Xiang Zhao, Ryuichi Takanobu, Zhen Tan, Weidong Xiao

Most existing work on event extraction (EE) either follows a pipelined manner or uses a joint structure but is pipelined in essence.

Event Detection Event Extraction

Pre-Trained Models for Heterogeneous Information Networks

no code implementations7 Jul 2020 Yang Fang, Xiang Zhao, Yifan Chen, Weidong Xiao, Maarten de Rijke

We propose a self-supervised pre-training and fine-tuning framework, PF-HIN, to capture the features of a heterogeneous information network.

Link Prediction Node Classification +2

Degree-Aware Alignment for Entities in Tail

1 code implementation25 May 2020 Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan

Entity alignment (EA) is to discover equivalent entities in knowledge graphs (KGs), which bridges heterogeneous sources of information and facilitates the integration of knowledge.

Entity Alignment Knowledge Graphs +1

CLEEK: A Chinese Long-text Corpus for Entity Linking

no code implementations LREC 2020 Weixin Zeng, Xiang Zhao, Jiuyang Tang, Zhen Tan, Xuqian Huang

Moreover, we devise a measure to evaluate the difficulty of documents with respect to entity linking, which is then used to characterize the corpus.

Entity Linking

Spherically symmetric static black holes in Einstein-aether theory

no code implementations13 Apr 2020 Chao Zhang, Xiang Zhao, Kai Lin, Shaojun Zhang, Wen Zhao, Anzhong Wang

In particular, we find that, out of the five non-trivial field equations, only three are independent, so the problem is well-posed, as now generically there are only three unknown functions, {$F(r), B(r), A(r)$, where $F$ and $B$ are metric coefficients, and $A$ describes the aether field.}

General Relativity and Quantum Cosmology Astrophysics of Galaxies High Energy Physics - Phenomenology High Energy Physics - Theory

Collective Entity Alignment via Adaptive Features

1 code implementation18 Dec 2019 Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin

Entity alignment (EA) identifies entities that refer to the same real-world object but locate in different knowledge graphs (KGs), and has been harnessed for KG construction and integration.

Entity Alignment Knowledge Graphs

HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition

no code implementations3 Dec 2019 Shifeng Liu, Yifang Sun, Bing Li, Wei Wang, Xiang Zhao

To tackle Named Entity Recognition (NER) tasks, supervised methods need to obtain sufficient cleanly annotated data, which is labor and time consuming.

Boundary Detection Named Entity Recognition +1

Jointly Extracting Multiple Triplets with Multilayer Translation Constraints

no code implementations AAAI-2019 2019 Zhen Tan, Xiang Zhao, Wei Wang, Weidong Xiao

Triplets extraction is an essential and pivotal step in automatic knowledge base construction, which captures structural information from unstructured text corpus.

Named Entity Recognition Relation Classification +1

Antonym-Synonym Classification Based on New Sub-space Embeddings

no code implementations13 Jun 2019 Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao

We hypothesize that the pre-trained embeddings comprehend a blend of lexical-semantic information and we may distill the task-specific information using Distiller, a model proposed in this paper.

General Classification Relation Extraction

Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos

1 code implementation21 Jan 2019 Dongliang He, Xiang Zhao, Jizhou Huang, Fu Li, Xiao Liu, Shilei Wen

The task of video grounding, which temporally localizes a natural language description in a video, plays an important role in understanding videos.

Decision Making Multi-Task Learning

Leveraging High-Dimensional Side Information for Top-N Recommendation

1 code implementation6 Feb 2017 Yifan Chen, Xiang Zhao

Top-$N$ recommender systems typically utilize side information to address the problem of data sparsity.

Information Retrieval

Content-Based Top-N Recommendation using Heterogeneous Relations

no code implementations27 Jun 2016 Yifan Chen, Xiang Zhao, Junjiao Gan, Junkai Ren, Yang Fang

In this paper, we propose a content-based top-$N$ recommender system by learning the global term weights in profiles.

Recommendation Systems

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