Search Results for author: Yunbo Cao

Found 31 papers, 11 papers with code

A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering

no code implementations Findings (EMNLP) 2021 Deyu Zhou, Yanzheng Xiang, Linhai Zhang, Chenchen Ye, Qian-Wen Zhang, Yunbo Cao

However, most of existing approaches only detect one single path to obtain the answer without considering other correct paths, which might affect the final performance.

Knowledge Base Question Answering

Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge

no code implementations ACL 2022 Linhai Zhang, Xuemeng Hu, Boyu Wang, Deyu Zhou, Qian-Wen Zhang, Yunbo Cao

Recent years have witnessed growing interests in incorporating external knowledge such as pre-trained word embeddings (PWEs) or pre-trained language models (PLMs) into neural topic modeling.

Topic Models Word Embeddings

Automatic Context Pattern Generation for Entity Set Expansion

no code implementations17 Jul 2022 Yinghui Li, Shulin Huang, Xinwei Zhang, Qingyu Zhou, Yangning Li, Ruiyang Liu, Yunbo Cao, Hai-Tao Zheng, Ying Shen

A non-negligible shortcoming of the pre-defined context patterns is that they cannot be flexibly generalized to all kinds of semantic classes, and we call this phenomenon as "semantic sensitivity".

HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification

no code implementations28 Apr 2022 Zihan Wang, Peiyi Wang, Tianyu Liu, Yunbo Cao, Zhifang Sui, Houfeng Wang

Hierarchical text classification (HTC) is a challenging subtask of multi-label classification due to its complex label hierarchy.

Classification Language Modelling +3

SmartSales: Sales Script Extraction and Analysis from Sales Chatlog

no code implementations19 Apr 2022 Hua Liang, Tianyu Liu, Peiyi Wang, Mengliang Rao, Yunbo Cao

2) Customer objection response assists the salespeople to figure out the typical customer objections and corresponding winning sales scripts, as well as search for proper sales responses for a certain customer objection.

Management

Type-Driven Multi-Turn Corrections for Grammatical Error Correction

1 code implementation Findings (ACL) 2022 Shaopeng Lai, Qingyu Zhou, Jiali Zeng, Zhongli Li, Chao Li, Yunbo Cao, Jinsong Su

First, they simply mix additionally-constructed training instances and original ones to train models, which fails to help models be explicitly aware of the procedure of gradual corrections.

Data Augmentation Grammatical Error Correction

Exploring Student Representation For Neural Cognitive Diagnosis

no code implementations17 Nov 2021 Hengyao Bao, Xihua Li, Xuemin Zhao, Yunbo Cao

In this paper, we propose a method of student representation with the exploration of the hierarchical relations of knowledge concepts and student embedding.

A non-hierarchical attention network with modality dropout for textual response generation in multimodal dialogue systems

no code implementations19 Oct 2021 Rongyi Sun, Borun Chen, Qingyu Zhou, Yinghui Li, Yunbo Cao, Hai-Tao Zheng

Existing text- and image-based multimodal dialogue systems use the traditional Hierarchical Recurrent Encoder-Decoder (HRED) framework, which has an utterance-level encoder to model utterance representation and a context-level encoder to model context representation.

Response Generation

Hierarchical Curriculum Learning for AMR Parsing

1 code implementation ACL 2022 Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, Zhifang Sui

Abstract Meaning Representation (AMR) parsing aims to translate sentences to semantic representation with a hierarchical structure, and is recently empowered by pretrained sequence-to-sequence models.

AMR Parsing Representation Learning

An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling

1 code implementation NAACL 2022 Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui

Few-Shot Sequence Labeling (FSSL) is a canonical paradigm for the tagging models, e. g., named entity recognition and slot filling, to generalize on an emerging, resource-scarce domain.

Few-shot NER Meta-Learning +2

LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences

1 code implementation21 Apr 2021 Yuhao Zhou, Xihua Li, Yunbo Cao, Xuemin Zhao, Qing Ye, Jiancheng Lv

With pivot module reconstructed the decoder for individual students and leveled learning specialized encoders for groups, personalized DKT was achieved.

Knowledge Tracing online learning

Improving BERT with Syntax-aware Local Attention

1 code implementation Findings (ACL) 2021 Zhongli Li, Qingyu Zhou, Chao Li, Ke Xu, Yunbo Cao

Pre-trained Transformer-based neural language models, such as BERT, have achieved remarkable results on varieties of NLP tasks.

Machine Translation Pretrained Language Models +3

Dialogue Response Selection with Hierarchical Curriculum Learning

1 code implementation ACL 2021 Yixuan Su, Deng Cai, Qingyu Zhou, Zibo Lin, Simon Baker, Yunbo Cao, Shuming Shi, Nigel Collier, Yan Wang

As for IC, it progressively strengthens the model's ability in identifying the mismatching information between the dialogue context and a response candidate.

Conversational Response Selection

Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation

1 code implementation Findings of the Association for Computational Linguistics 2020 Chujie Zheng, Yunbo Cao, Daxin Jiang, Minlie Huang

In a multi-turn knowledge-grounded dialog, the difference between the knowledge selected at different turns usually provides potential clues to knowledge selection, which has been largely neglected in previous research.

The SPPD System for Schema Guided Dialogue State Tracking Challenge

no code implementations16 Jun 2020 Miao Li, Haoqi Xiong, Yunbo Cao

This paper introduces one of our group's work on the Dialog System Technology Challenges 8 (DSTC8), the SPPD system for Schema Guided dialogue state tracking challenge.

Dialogue State Tracking Multi-domain Dialogue State Tracking

A Statistical Framework for Product Description Generation

no code implementations IJCNLP 2017 Jinpeng Wang, Yutai Hou, Jing Liu, Yunbo Cao, Chin-Yew Lin

We present in this paper a statistical framework that generates accurate and fluent product description from product attributes.

Data-to-Text Generation

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