Search Results for author: Jiaqing Liang

Found 12 papers, 7 papers with code

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.

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

FL-Tuning: Layer Tuning for Feed-Forward Network in Transformer

1 code implementation30 Jun 2022 Jingping Liu, Yuqiu Song, Kui Xue, Hongli Sun, Chao Wang, Lihan Chen, Haiyun Jiang, Jiaqing Liang, Tong Ruan

Specifically, we focus on layer tuning for feed-forward network in the Transformer, namely FL-tuning.

Model Optimization

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.


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

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

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

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.

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