Search Results for author: Zhenglu Yang

Found 23 papers, 4 papers with code

Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy

no code implementations7 Apr 2022 Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua

To this end, we contribute to advance the study of the proactive dialogue policy to a more natural and challenging setting, i. e., interacting dynamically with users.

HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks

no code implementations8 Mar 2022 Zhengkun Zhang, Wenya Guo, Xiaojun Meng, Yasheng Wang, Yadao Wang, Xin Jiang, Qun Liu, Zhenglu Yang

In this paper, we design a novel unified parameter-efficient transfer learning framework that works effectively on both pure language and V&L tasks.

Language Modelling Multi-Task Learning

Self-Supervised Learning for speech recognition with Intermediate layer supervision

1 code implementation16 Dec 2021 Chengyi Wang, Yu Wu, Sanyuan Chen, Shujie Liu, Jinyu Li, Yao Qian, Zhenglu Yang

Recently, pioneer work finds that speech pre-trained models can solve full-stack speech processing tasks, because the model utilizes bottom layers to learn speaker-related information and top layers to encode content-related information.

Self-Supervised Learning Speech Recognition

UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation

no code implementations13 Sep 2021 Zhengkun Zhang, Xiaojun Meng, Yasheng Wang, Xin Jiang, Qun Liu, Zhenglu Yang

Specially, we adopt knowledge distillation from a vision-language pretrained model to improve image selection, which avoids any requirement on the existence and quality of image captions.

Abstractive Text Summarization Image Captioning +2

Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs

no code implementations Findings (ACL) 2022 Yao Zhang, Peiyao Li, Hongru Liang, Adam Jatowt, Zhenglu Yang

In the question answering(QA) task, multi-hop reasoning framework has been extensively studied in recent years to perform more efficient and interpretable answer reasoning on the Knowledge Graph(KG).

Knowledge Graphs Question Answering

RepSum: Unsupervised Dialogue Summarization based on Replacement Strategy

no code implementations ACL 2021 Xiyan Fu, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Changlong Sun, Zhenglu Yang

In the field of dialogue summarization, due to the lack of training data, it is often difficult for supervised summary generation methods to learn vital information from dialogue context with limited data.

Dialogue Generation Sentence Compression

Joint Open Knowledge Base Canonicalization and Linking

1 code implementation Proceedings of the 2021 International Conference on Management of Data 2021 Yinan Liu, Wei Shen, Yuanfei Wang, Jianyong Wang, Zhenglu Yang, Xiaojie Yuan

However, noun phrases (NPs) and relation phrases (RPs) in OKBs are not canonicalized and often appear in different paraphrased textual variants, which leads to redundant and ambiguous facts.

Open Information Extraction

MM-AVS: A Full-Scale Dataset for Multi-modal Summarization

no code implementations NAACL 2021 Xiyan Fu, Jun Wang, Zhenglu Yang

Multimodal summarization becomes increasingly significant as it is the basis for question answering, Web search, and many other downstream tasks.

Question Answering

A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics

no code implementations23 Mar 2021 Hongru Liang, Haozheng Wang, Qian Li, Jun Wang, Guandong Xu, Jiawei Chen, Jin-Mao Wei, Zhenglu Yang

Learning and analyzing rap lyrics is a significant basis for many web applications, such as music recommendation, automatic music categorization, and music information retrieval, due to the abundant source of digital music in the World Wide Web.

Information Retrieval Music Information Retrieval +1

Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction

no code implementations22 Dec 2020 Yao Zhang, Xu Zhang, Jun Wang, Hongru Liang, Wenqiang Lei, Zhe Sun, Adam Jatowt, Zhenglu Yang

The current methods for the link prediction taskhavetwonaturalproblems:1)the relation distributions in KGs are usually unbalanced, and 2) there are many unseen relations that occur in practical situations.

Knowledge Graphs Link Prediction

GMH: A General Multi-hop Reasoning Model for KG Completion

no code implementations EMNLP 2021 Yao Zhang, Hongru Liang, Adam Jatowt, Wenqiang Lei, Xin Wei, Ning Jiang, Zhenglu Yang

To the best of our knowledge, there lacks a general framework that approaches multi-hop reasoning in mixed long-short distance reasoning scenarios.

Knowledge Graphs

Multi-modal Summarization for Video-containing Documents

1 code implementation17 Sep 2020 Xiyan Fu, Jun Wang, Zhenglu Yang

Summarization of multimedia data becomes increasingly significant as it is the basis for many real-world applications, such as question answering, Web search, and so forth.

Question Answering Video Summarization

Curriculum Pre-training for End-to-End Speech Translation

no code implementations ACL 2020 Chengyi Wang, Yu Wu, Shujie Liu, Ming Zhou, Zhenglu Yang

End-to-end speech translation poses a heavy burden on the encoder, because it has to transcribe, understand, and learn cross-lingual semantics simultaneously.

Speech Recognition Translation

Attention Optimization for Abstractive Document Summarization

no code implementations IJCNLP 2019 Min Gui, Junfeng Tian, Rui Wang, Zhenglu Yang

Attention plays a key role in the improvement of sequence-to-sequence-based document summarization models.

Document Summarization

Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation

no code implementations17 Sep 2019 Chengyi Wang, Yu Wu, Shujie Liu, Zhenglu Yang, Ming Zhou

End-to-end speech translation, a hot topic in recent years, aims to translate a segment of audio into a specific language with an end-to-end model.

Multi-Task Learning Translation

A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task

no code implementations COLING 2018 Qian Li, Ziwei Li, Jin-Mao Wei, Yanhui Gu, Adam Jatowt, Zhenglu Yang

Enabling a mechanism to understand a temporal story and predict its ending is an interesting issue that has attracted considerable attention, as in case of the ROC Story Cloze Task (SCT).

Common Sense Reasoning Feature Engineering +1

Automatic Generation of Grounded Visual Questions

no code implementations20 Dec 2016 Shijie Zhang, Lizhen Qu, ShaoDi You, Zhenglu Yang, Jiawan Zhang

In this paper, we propose the first model to be able to generate visually grounded questions with diverse types for a single image.

Question Generation

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