no code implementations • 10 Aug 2023 • Miao Fan, Chen Hu, Shuchang Zhou
In this paper, we introduce a simple task designed to employ Gloden as a reward model that validates the effectiveness of PPO and inspires it, primarily explaining the task of utilizing PPO to manipulate the tokenizer length of the output generated by the model.
no code implementations • 7 Mar 2023 • Ye Tian, Zhengshuo Li, Wenchuan Wu, Miao Fan
The issues of uncertainty and frequency security could become significantly serious in power systems with the high penetration of volatile inverter-based renewables (IBRs).
no code implementations • ICCV 2023 • Miao Fan, Mingrui Chen, Chen Hu, Shuchang Zhou
Image matching is a fundamental and critical task in various visual applications, such as Simultaneous Localization and Mapping (SLAM) and image retrieval, which require accurate pose estimation.
no code implementations • 20 Aug 2021 • Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin
We approach this task as a sequence tagging problem, where the goal is to produce <POI name, accessibility label> pairs from unstructured text.
no code implementations • KDD 2021 • Yudong Chen, Xin Wang, Miao Fan, Jizhou Huang, Shengwen Yang, and Wenwu Zhu.
Next point-of-interest (POI) recommendation is a hot research field where a recent emerging scenario, next POI to search recommendation, has been deployed in many online map services such as Baidu Maps.
5 code implementations • ICCV 2021 • Min Yang, Dongliang He, Miao Fan, Baorong Shi, Xuetong Xue, Fu Li, Errui Ding, Jizhou Huang
Components orthogonal to the global image representation are then extracted from the local information.
1 code implementation • 13 May 2021 • Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, Maarten de Rijke
We propose an end-to-end variational reasoning approach to medical dialogue generation.
no code implementations • 6 May 2020 • Jizhou Huang, Haifeng Wang, Haoyi Xiong, Miao Fan, An Zhuo, Ying Li, Dejing Dou
While these strategies have effectively dealt with the critical situations of outbreaks, the combination of the pandemic and mobility controls has slowed China's economic growth, resulting in the first quarterly decline of Gross Domestic Product (GDP) since GDP began to be calculated, in 1992.
no code implementations • IJCNLP 2019 • Miao Fan, Chao Feng, Mingming Sun, Ping Li
Given a product, a selector (agent) learns from both the keys in the product metadata and one of its reviews to take an action that selects the correct value, and a successive predictor (network) makes the free-text review attend to this value to obtain better neural representations for helpfulness assessment.
no code implementations • 29 Apr 2019 • Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, Ping Li
In this paper, we consider the problem of open information extraction (OIE) for extracting entity and relation level intermediate structures from sentences in open-domain.
no code implementations • 29 Jun 2015 • Miao Fan, Doo Soon Kim
Extensive evaluations demonstrate that our paradigm is compatible enough to leverage various features and learning models for open-domain table region detection within PDF files.
no code implementations • PACLIC 2015 • Miao Fan, Qiang Zhou, Thomas Fang Zheng
In this paper, we propose a new paradigm named distantly supervised entity linking (DSEL), in the sense that the disambiguated entities that belong to a huge knowledge repository (Freebase) are automatically aligned to the corresponding descriptive webpages (Wiki pages).
no code implementations • 10 May 2015 • Miao Fan, Qiang Zhou, Andrew Abel, Thomas Fang Zheng, Ralph Grishman
This paper contributes a novel embedding model which measures the probability of each belief $\langle h, r, t, m\rangle$ in a large-scale knowledge repository via simultaneously learning distributed representations for entities ($h$ and $t$), relations ($r$), and the words in relation mentions ($m$).
no code implementations • 7 Apr 2015 • Miao Fan, Qiang Zhou, Thomas Fang Zheng, Ralph Grishman
Traditional way of storing facts in triplets ({\it head\_entity, relation, tail\_entity}), abbreviated as ({\it h, r, t}), makes the knowledge intuitively displayed and easily acquired by mankind, but hardly computed or even reasoned by AI machines.
no code implementations • RANLP 2015 • Miao Fan, Kai Cao, Yifan He, Ralph Grishman
This paper contributes a joint embedding model for predicting relations between a pair of entities in the scenario of relation inference.
no code implementations • 27 Mar 2015 • Miao Fan, Qiang Zhou, Thomas Fang Zheng
This paper considers the problem of knowledge inference on large-scale imperfect repositories with incomplete coverage by means of embedding entities and relations at the first attempt.
no code implementations • 17 Nov 2014 • Miao Fan, Deli Zhao, Qiang Zhou, Zhiyuan Liu, Thomas Fang Zheng, Edward Y. Chang
The essence of distantly supervised relation extraction is that it is an incomplete multi-label classification problem with sparse and noisy features.