Search Results for author: Ruiji Fu

Found 18 papers, 3 papers with code

KwaiAgents: Generalized Information-seeking Agent System with Large Language Models

1 code implementation8 Dec 2023 Haojie Pan, Zepeng Zhai, Hao Yuan, Yaojia LV, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin

Driven by curiosity, humans have continually sought to explore and understand the world around them, leading to the invention of various tools to satiate this inquisitiveness.

A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset

no code implementations19 Nov 2022 Jiaxin Deng, Dong Shen, Haojie Pan, Xiangyu Wu, Ximan Liu, Gaofeng Meng, Fan Yang, Size Li, Ruiji Fu, Zhongyuan Wang

Furthermore, based on this dataset, we propose an end-to-end model that jointly optimizes the video understanding objective with knowledge graph embedding, which can not only better inject factual knowledge into video understanding but also generate effective multi-modal entity embedding for KG.

Common Sense Reasoning Knowledge Graph Embedding +4

BigCilin: An Automatic Chinese Open-domain Knowledge Graph with Fine-grained Hypernym-Hyponym Relations

no code implementations7 Nov 2022 Ming Liu, Yaojia LV, Jingrun Zhang, Ruiji Fu, Bing Qin

One is that it supports querying any Chinese named entity and browsing the extracted hypernym-hyponym paths surro-unding the query entity.

Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia

1 code implementation28 Oct 2022 Haojie Pan, Zepeng Zhai, Yuzhou Zhang, Ruiji Fu, Ming Liu, Yangqiu Song, Zhongyuan Wang, Bing Qin

In this paper, we propose Kuaipedia, a large-scale multi-modal encyclopedia consisting of items, aspects, and short videos lined to them, which was extracted from billions of videos of Kuaishou (Kwai), a well-known short-video platform in China.

Entity Linking Entity Typing

Verb Metaphor Detection via Contextual Relation Learning

no code implementations ACL 2021 Wei Song, Shuhui Zhou, Ruiji Fu, Ting Liu, Lizhen Liu

Correct natural language understanding requires computers to distinguish the literal and metaphorical senses of a word.

Natural Language Understanding Relation +1

Discourse Mode Identification in Essays

no code implementations ACL 2017 Wei Song, Dong Wang, Ruiji Fu, Lizhen Liu, Ting Liu, Guoping Hu

Evaluation results show that discourse modes can be identified automatically with an average F1-score of 0. 7.

Anecdote Recognition and Recommendation

no code implementations COLING 2016 Wei Song, Ruiji Fu, Lizhen Liu, Hanshi Wang, Ting Liu

More importantly, we uncover the anecdote implication, which reveals the meaning and topic of an anecdote.

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