Search Results for author: Xiubo Geng

Found 23 papers, 9 papers with code

HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations

1 code implementation ACL 2022 Jia-Chen Gu, Chao-Hong Tan, Chongyang Tao, Zhen-Hua Ling, Huang Hu, Xiubo Geng, Daxin Jiang

To address these challenges, we present HeterMPC, a heterogeneous graph-based neural network for response generation in MPCs which models the semantics of utterances and interlocutors simultaneously with two types of nodes in a graph.

Response Generation

PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings

no code implementations28 Jan 2022 Qiyu Wu, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Daxin Jiang

A straightforward solution is resorting to more diverse positives from a multi-augmenting strategy, while an open question remains about how to unsupervisedly learn from the diverse positives but with uneven augmenting qualities in the text field.

Contrastive Learning Sentence Embeddings

Multimodal Dialogue Response Generation

no code implementations ACL 2022 Qingfeng Sun, Yujing Wang, Can Xu, Kai Zheng, Yaming Yang, Huang Hu, Fei Xu, Jessica Zhang, Xiubo Geng, Daxin Jiang

In such a low-resource setting, we devise a novel conversational agent, Divter, in order to isolate parameters that depend on multimodal dialogues from the entire generation model.

Dialogue Generation Response Generation

EventBERT: A Pre-Trained Model for Event Correlation Reasoning

no code implementations13 Oct 2021 Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang

Event correlation reasoning infers whether a natural language paragraph containing multiple events conforms to human common sense.

Cloze Test Common Sense Reasoning +1

Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning

no code implementations1 Oct 2021 Chongyang Tao, Jiazhan Feng, Chang Liu, Juntao Li, Xiubo Geng, Daxin Jiang

For this task, the adoption of pre-trained language models (such as BERT) has led to remarkable progress in a number of benchmarks.

Re-Ranking

Reasoning over Entity-Action-Location Graph for Procedural Text Understanding

no code implementations ACL 2021 Hao Huang, Xiubo Geng, Jian Pei, Guodong Long, Daxin Jiang

Procedural text understanding aims at tracking the states (e. g., create, move, destroy) and locations of the entities mentioned in a given paragraph.

graph construction Procedural Text Understanding +1

MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding

1 code implementation ACL 2021 Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Xiubo Geng, Daxin Jiang

Recently, various neural models for multi-party conversation (MPC) have achieved impressive improvements on a variety of tasks such as addressee recognition, speaker identification and response prediction.

Language Modelling Speaker Identification

Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph

no code implementations NAACL 2021 Yucheng Zhou, Xiubo Geng, Tao Shen, Wenqiang Zhang, Daxin Jiang

That is, we can only access training data in a high-resource language, while need to answer multilingual questions without any labeled data in target languages.

Bilingual Lexicon Induction Question Answering +1

Maria: A Visual Experience Powered Conversational Agent

1 code implementation ACL 2021 Zujie Liang, Huang Hu, Can Xu, Chongyang Tao, Xiubo Geng, Yining Chen, Fan Liang, Daxin Jiang

The retriever aims to retrieve a correlated image to the dialog from an image index, while the visual concept detector extracts rich visual knowledge from the image.

ChemistryQA: A Complex Question Answering Dataset from Chemistry

no code implementations1 Jan 2021 Zhuoyu Wei, Wei Ji, Xiubo Geng, Yining Chen, Baihua Chen, Tao Qin, Daxin Jiang

We notice that some real-world QA tasks are more complex, which cannot be solved by end-to-end neural networks or translated to any kind of formal representations.

Machine Reading Comprehension Question Answering

Towards Interpretable Reasoning over Paragraph Effects in Situation

1 code implementation EMNLP 2020 Mucheng Ren, Xiubo Geng, Tao Qin, Heyan Huang, Daxin Jiang

We focus on the task of reasoning over paragraph effects in situation, which requires a model to understand the cause and effect described in a background paragraph, and apply the knowledge to a novel situation.

Knowledge-Aware Procedural Text Understanding with Multi-Stage Training

no code implementations28 Sep 2020 Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang

In this work, we focus on the task of procedural text understanding, which aims to comprehend such documents and track entities' states and locations during a process.

Procedural Text Understanding

DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding

no code implementations28 Feb 2020 Yuyu Zhang, Ping Nie, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang

Recent studies on open-domain question answering have achieved prominent performance improvement using pre-trained language models such as BERT.

Open-Domain Question Answering

A New Probabilistic Model for Rank Aggregation

no code implementations NeurIPS 2010 Tao Qin, Xiubo Geng, Tie-Yan Liu

To avoid these limitations, in this paper, we propose a new model, which is defined with a coset-permutation distance, and models the generation of a permutation as a stagewise process.

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