Search Results for author: Si Li

Found 19 papers, 6 papers with code

A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech

1 code implementation ACL 2021 Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen

A second (multi-relational) GCN is then applied to the utterance states to produce a discourse relation-augmented representation for the utterances, which are then fused together with token states in each utterance as input to a dropped pronoun recovery layer.

Discourse Parsing

DeRenderNet: Intrinsic Image Decomposition of Urban Scenes with Shape-(In)dependent Shading Rendering

no code implementations28 Apr 2021 Yongjie Zhu, Jiajun Tang, Si Li, Boxin Shi

We propose DeRenderNet, a deep neural network to decompose the albedo and latent lighting, and render shape-(in)dependent shadings, given a single image of an outdoor urban scene, trained in a self-supervised manner.

Intrinsic Image Decomposition

Spatially-Varying Outdoor Lighting Estimation from Intrinsics

no code implementations CVPR 2021 Yongjie Zhu, yinda zhang, Si Li, Boxin Shi

We train a deep neural network to regress intrinsic cues with physically-based constraints and use them to conduct global and local lightings estimation.

Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields

1 code implementation Findings of the Association for Computational Linguistics 2020 Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue

Exploratory analysis also demonstrates that the GCRF did help to capture the dependencies between pronouns in neighboring utterances, thus contributes to the performance improvements.

Machine Translation Translation

ST-MNIST -- The Spiking Tactile MNIST Neuromorphic Dataset

no code implementations8 May 2020 Hian Hian See, Brian Lim, Si Li, Haicheng Yao, Wen Cheng, Harold Soh, Benjamin C. K. Tee

We anticipate that our ST-MNIST dataset will be of interest and useful to the neuromorphic and robotics research communities.

Reflection Separation using a Pair of Unpolarized and Polarized Images

1 code implementation NeurIPS 2019 Youwei Lyu, Zhaopeng Cui, Si Li, Marc Pollefeys, Boxin Shi

When we take photos through glass windows or doors, the transmitted background scene is often blended with undesirable reflection.

A Prism Module for Semantic Disentanglement in Name Entity Recognition

1 code implementation ACL 2019 Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao, Si Li

To solve this problem, we propose a prism module to disentangle the semantic aspects of words and reduce noise at the input layer of a model.

Named Entity Recognition NER

Recovering Dropped Pronouns in Chinese Conversations via Modeling Their Referents

1 code implementation NAACL 2019 Jingxuan Yang, Jianzhuo Tong, Si Li, Sheng Gao, Jun Guo, Nianwen Xue

Pronouns are often dropped in Chinese sentences, and this happens more frequently in conversational genres as their referents can be easily understood from context.

Machine Translation Translation

Cyclone intensity estimate with context-aware cyclegan

no code implementations11 May 2019 Yajing Xu, Haitao Yang, Mingfei Cheng, Si Li

Deep learning approaches to cyclone intensity estimationhave recently shown promising results.

Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network

no code implementations NAACL 2018 Chenliang Li, Weiran Xu, Si Li, Sheng Gao

Then, we introduce a Key Information Guide Network (KIGN), which encodes the keywords to the key information representation, to guide the process of generation.

Abstractive Text Summarization

Neural Regularized Domain Adaptation for Chinese Word Segmentation

no code implementations WS 2017 Zuyi Bao, Si Li, Weiran Xu, Sheng Gao

For Chinese word segmentation, the large-scale annotated corpora mainly focus on newswire and only a handful of annotated data is available in other domains such as patents and literature.

Chinese Word Segmentation Domain Adaptation +1

N-gram Model for Chinese Grammatical Error Diagnosis

no code implementations WS 2017 Jianbo Zhao, Hao liu, Zuyi Bao, Xiaopeng Bai, Si Li, Zhiqing Lin

Detection and correction of Chinese grammatical errors have been two of major challenges for Chinese automatic grammatical error diagnosis. This paper presents an N-gram model for automatic detection and correction of Chinese grammatical errors in NLPTEA 2017 task.

Language Modelling

Towards Accurate Word Segmentation for Chinese Patents

no code implementations30 Nov 2016 Si Li, Nianwen Xue

A patent is a property right for an invention granted by the government to the inventor.

Chinese Word Segmentation Domain Adaptation

Twisted supergravity and its quantization

no code implementations1 Jun 2016 Kevin Costello, Si Li

For type IIB, the results of arXiv:1505. 6703 show that our candidate twisted supergravity theory admits a unique quantization in perturbation theory.

High Energy Physics - Theory Algebraic Geometry

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