Search Results for author: Wenmian Yang

Found 13 papers, 4 papers with code

Grammatical Error Correction with Contrastive Learning in Low Error Density Domains

1 code implementation Findings (EMNLP) 2021 Hannan Cao, Wenmian Yang, Hwee Tou Ng

Although grammatical error correction (GEC) has achieved good performance on texts written by learners of English as a second language, performance on low error density domains where texts are written by English speakers of varying levels of proficiency can still be improved.

Contrastive Learning Grammatical Error Correction +1

A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding

no code implementations22 Nov 2022 Lizhi Cheng, Wenmian Yang, Weijia Jia

Result Attention Network effectively utilizes the bidirectional interaction between results of slot filling and intent detection, mitigating the error propagation problem.

Intent Detection slot-filling +2

Capture Salient Historical Information: A Fast and Accurate Non-Autoregressive Model for Multi-turn Spoken Language Understanding

no code implementations24 Jun 2022 Lizhi Cheng, Weijia Jia, Wenmian Yang

SHA captures salient historical information for the current dialogue from both historical utterances and results via a well-designed history-attention mechanism.

Spoken Language Understanding

An Effective Non-Autoregressive Model for Spoken Language Understanding

no code implementations16 Aug 2021 Lizhi Cheng, Weijia Jia, Wenmian Yang

Spoken Language Understanding (SLU), a core component of the task-oriented dialogue system, expects a shorter inference latency due to the impatience of humans.

Spoken Language Understanding

A Result based Portable Framework for Spoken Language Understanding

no code implementations10 Mar 2021 Lizhi Cheng, Weijia Jia, Wenmian Yang

Spoken language understanding (SLU), which is a core component of the task-oriented dialogue system, has made substantial progress in the research of single-turn dialogue.

Spoken Language Understanding

Interactive Variance Attention based Online Spoiler Detection for Time-Sync Comments

no code implementations9 Aug 2019 Wenmian Yang, Weijia Jia, Wenyuan Gao, Xiaojie Zhou, Yutao Luo

In this paper, we proposed a novel Similarity-Based Network with Interactive Variance Attention (SBN-IVA) to classify comments as spoilers or not.

Semantic Similarity Semantic Textual Similarity

Improving Abstractive Document Summarization with Salient Information Modeling

no code implementations ACL 2019 Yongjian You, Weijia Jia, Tianyi Liu, Wenmian Yang

Comprehensive document encoding and salient information selection are two major difficulties for generating summaries with adequate salient information.

Document Summarization

Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network

no code implementations10 May 2019 Wenmian Yang, Weijia Jia, XIaojie Zhou, Yutao Luo

To distinguish cases with similar descriptions but different penalties, we integrate word collocations features of fact descriptions into the network via an attention mechanism.

Time-sync Video Tag Extraction Using Semantic Association Graph

no code implementations3 May 2019 Wenmian Yang, Kun Wang, Na Ruan, Wenyuan Gao, Weijia Jia, Wei Zhao, Nan Liu, Yunyong Zhang

Finally, we gain the weight of each word by combining Semantic Weight (SW) and Inverse Document Frequency (IDF).


Herding Effect based Attention for Personalized Time-Sync Video Recommendation

no code implementations2 May 2019 Wenmian Yang, Wenyuan Gao, Xiaojie Zhou, Weijia Jia, Shaohua Zhang, Yutao Luo

Time-sync comment (TSC) is a new form of user-interaction review associated with real-time video contents, which contains a user's preferences for videos and therefore well suited as the data source for video recommendations.

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