Search Results for author: Si Li

Found 28 papers, 7 papers with code

Multi-Turn Target-Guided Topic Prediction with Monte Carlo Tree Search

no code implementations ICON 2021 Jingxuan Yang, Si Li, Jun Guo

In this paper, we formulate the target-guided conversation as a problem of multi-turn topic prediction and model it under the framework of Markov decision process (MDP).


Simple Tagging System with RoBERTa for Ancient Chinese

no code implementations LT4HALA (LREC) 2022 Binghao Tang, Boda Lin, Si Li

This paper describes the system submitted for the EvaHan 2022 Shared Task on word segmentation and part-of-speech tagging for Ancient Chinese.

Language Modelling Part-Of-Speech Tagging

Unsupervised Domain Adaptation Method with Semantic-Structural Alignment for Dependency Parsing

no code implementations Findings (EMNLP) 2021 Boda Lin, Mingzheng Li, Si Li, Yong Luo

Unsupervised cross-domain dependency parsing is to accomplish domain adaptation for dependency parsing without using labeled data in target domain.

Dependency Parsing Unsupervised Domain Adaptation

L-CAD: Language-based Colorization with Any-level Descriptions

no code implementations24 May 2023 Zheng Chang, Shuchen Weng, Peixuan Zhang, Yu Li, Si Li, Boxin Shi

Language-based colorization produces plausible and visually pleasing colors under the guidance of user-friendly natural language descriptions.


L-CoIns: Language-Based Colorization With Instance Awareness

no code implementations CVPR 2023 Zheng Chang, Shuchen Weng, Peixuan Zhang, Yu Li, Si Li, Boxin Shi

Language-based colorization produces plausible colors consistent with the language description provided by the user.

Colorization Descriptive

CT2: Colorization Transformer via Color Tokens

1 code implementation ECCV 2022 Shuchen Weng, Jimeng Sun, Yu Li, Si Li, Boxin Shi

Automatic image colorization is an ill-posed problem with multi-modal uncertainty, and there remains two main challenges with previous methods: incorrect semantic colors and under-saturation.

Colorization Image Colorization

Schema-Free Dependency Parsing via Sequence Generation

no code implementations28 Jan 2022 Boda Lin, Zijun Yao, Jiaxin Shi, Shulin Cao, Binghao Tang, Si Li, Yong Luo, Juanzi Li, Lei Hou

To remedy these drawbacks, we propose to achieve universal and schema-free Dependency Parsing (DP) via Sequence Generation (SG) DPSG by utilizing only the pre-trained language model (PLM) without any auxiliary structures or parsing algorithms.

Dependency Parsing Language Modelling

UniCoRN: A Unified Conditional Image Repainting Network

no code implementations CVPR 2022 Jimeng Sun, Shuchen Weng, Zheng Chang, Si Li, Boxin Shi

Conditional image repainting (CIR) is an advanced image editing task, which requires the model to generate visual content in user-specified regions conditioned on multiple cross-modality constraints, and composite the visual content with the provided background seamlessly.

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.

Lighting 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.

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 +2

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

Cannot find the paper you are looking for? You can Submit a new open access paper.