Search Results for author: Baoxing Huai

Found 26 papers, 11 papers with code

A Coarse-to-Fine Labeling Framework for Joint Word Segmentation, POS Tagging, and Constituent Parsing

1 code implementation CoNLL (EMNLP) 2021 Yang Hou, Houquan Zhou, Zhenghua Li, Yu Zhang, Min Zhang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan

In the coarse labeling stage, the joint model outputs a bracketed tree, in which each node corresponds to one of four labels (i. e., phrase, subphrase, word, subword).

Part-Of-Speech Tagging POS +1

APGN: Adversarial and Parameter Generation Networks for Multi-Source Cross-Domain Dependency Parsing

no code implementations Findings (EMNLP) 2021 Ying Li, Meishan Zhang, Zhenghua Li, Min Zhang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan

Thanks to the strong representation learning capability of deep learning, especially pre-training techniques with language model loss, dependency parsing has achieved great performance boost in the in-domain scenario with abundant labeled training data for target domains.

Dependency Parsing Language Modelling +1

TextrolSpeech: A Text Style Control Speech Corpus With Codec Language Text-to-Speech Models

no code implementations28 Aug 2023 Shengpeng Ji, Jialong Zuo, Minghui Fang, Ziyue Jiang, Feiyang Chen, Xinyu Duan, Baoxing Huai, Zhou Zhao

The dataset comprises 236, 220 pairs of style prompt in natural text descriptions with five style factors and corresponding speech samples.

Language Modelling

Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation

no code implementations14 Jun 2023 Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen

Zero-Shot Learning (ZSL), which aims at automatically recognizing unseen objects, is a promising learning paradigm to understand new real-world knowledge for machines continuously.

Knowledge Graphs Zero-Shot Learning

AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing

no code implementations11 Jun 2023 Asaad Alghamdi, Xinyu Duan, Wei Jiang, Zhenhai Wang, Yimeng Wu, Qingrong Xia, Zhefeng Wang, Yi Zheng, Mehdi Rezagholizadeh, Baoxing Huai, Peilun Cheng, Abbas Ghaddar

Developing monolingual large Pre-trained Language Models (PLMs) is shown to be very successful in handling different tasks in Natural Language Processing (NLP).

Few-Shot Learning

Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework

1 code implementation8 Jun 2023 Mingqi Gao, Xiaojun Wan, Jia Su, Zhefeng Wang, Baoxing Huai

To address this problem, we are the first to manually annotate a FEC dataset for dialogue summarization containing 4000 items and propose FERRANTI, a fine-grained evaluation framework based on reference correction that automatically evaluates the performance of FEC models on different error categories.


CopyNE: Better Contextual ASR by Copying Named Entities

no code implementations22 May 2023 Shilin Zhou, Zhenghua Li, Yu Hong, Min Zhang, Zhefeng Wang, Baoxing Huai

However, traditional token-level ASR models have struggled with accurately transcribing entities due to the problem of homophonic and near-homophonic tokens.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

CED: Catalog Extraction from Documents

1 code implementation28 Apr 2023 Tong Zhu, Guoliang Zhang, Zechang Li, Zijian Yu, Junfei Ren, Mengsong Wu, Zhefeng Wang, Baoxing Huai, Pingfu Chao, Wenliang Chen

To address this problem, we build a large manually annotated corpus, which is the first dataset for the Catalog Extraction from Documents (CED) task.

Catalog Extraction

A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends

no code implementations7 Feb 2023 Xiaoye Qu, Yingjie Gu, Qingrong Xia, Zechang Li, Zhefeng Wang, Baoxing Huai

In this paper, we provide a comprehensive review of the development of Arabic NER, especially the recent advances in deep learning and pre-trained language model.

Feature Engineering Language Modelling +4

ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks

1 code implementation16 Dec 2022 Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Bing Qin, Yi Zheng, Baoxing Huai

Causal chain reasoning (CCR) is an essential ability for many decision-making AI systems, which requires the model to build reliable causal chains by connecting causal pairs.

Decision Making

Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-grained Student Ensemble

1 code implementation13 Dec 2022 Xiaoye Qu, Jun Zeng, Daizong Liu, Zhefeng Wang, Baoxing Huai, Pan Zhou

Distantly-Supervised Named Entity Recognition (DS-NER) effectively alleviates the data scarcity problem in NER by automatically generating training samples.

named-entity-recognition Named Entity Recognition +1

Mining Word Boundaries in Speech as Naturally Annotated Word Segmentation Data

no code implementations31 Oct 2022 Lei Zhang, Shilin Zhou, Chen Gong, Zhenghua Li, Zhefeng Wang, Baoxing Huai, Min Zhang

Chinese word segmentation (CWS) models have achieved very high performance when the training data is sufficient and in-domain.

Chinese Word Segmentation

VLAD-VSA: Cross-Domain Face Presentation Attack Detection with Vocabulary Separation and Adaptation

1 code implementation21 Feb 2022 Jiong Wang, Zhou Zhao, Weike Jin, Xinyu Duan, Zhen Lei, Baoxing Huai, Yiling Wu, Xiaofei He

In this paper, the VLAD aggregation method is adopted to quantize local features with visual vocabulary locally partitioning the feature space, and hence preserve the local discriminability.

Face Presentation Attack Detection

Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph

1 code implementation11 Dec 2021 Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Min Zhang

Most previous studies of document-level event extraction mainly focus on building argument chains in an autoregressive way, which achieves a certain success but is inefficient in both training and inference.

Document-level Event Extraction Event Extraction

JABER and SABER: Junior and Senior Arabic BERt

1 code implementation8 Dec 2021 Abbas Ghaddar, Yimeng Wu, Ahmad Rashid, Khalil Bibi, Mehdi Rezagholizadeh, Chao Xing, Yasheng Wang, Duan Xinyu, Zhefeng Wang, Baoxing Huai, Xin Jiang, Qun Liu, Philippe Langlais

Language-specific pre-trained models have proven to be more accurate than multilingual ones in a monolingual evaluation setting, Arabic is no exception.

Language Modelling NER

Parallel and High-Fidelity Text-to-Lip Generation

1 code implementation14 Jul 2021 Jinglin Liu, Zhiying Zhu, Yi Ren, Wencan Huang, Baoxing Huai, Nicholas Yuan, Zhou Zhao

However, the AR decoding manner generates current lip frame conditioned on frames generated previously, which inherently hinders the inference speed, and also has a detrimental effect on the quality of generated lip frames due to error propagation.

Talking Face Generation Text-to-Face Generation +1

An In-depth Study on Internal Structure of Chinese Words

1 code implementation ACL 2021 Chen Gong, Saihao Huang, Houquan Zhou, Zhenghua Li, Min Zhang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan

Several previous works on syntactic parsing propose to annotate shallow word-internal structures for better utilizing character-level information.

Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking

no code implementations7 Jan 2021 Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Xiaolin Gui

Entity linking (EL) for the rapidly growing short text (e. g. search queries and news titles) is critical to industrial applications.

Entity Linking Machine Reading Comprehension +1

A High Precision Pipeline for Financial Knowledge Graph Construction

no code implementations COLING 2020 Sarah Elhammadi, Laks V.S. Lakshmanan, Raymond Ng, Michael Simpson, Baoxing Huai, Zhefeng Wang, Lanjun Wang

This pipeline combines multiple information extraction techniques with a financial dictionary that we built, all working together to produce over 342, 000 compact extractions from over 288, 000 financial news articles, with a precision of 78{\%} at the top-100 extractions. The extracted triples are stored in a knowledge graph making them readily available for use in downstream applications.

Data Integration Fact Checking +4

Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding

no code implementations16 Aug 2020 Zhu Zhang, Zhou Zhao, Zhijie Lin, Baoxing Huai, Nicholas Jing Yuan

Spatio-temporal video grounding aims to retrieve the spatio-temporal tube of a queried object according to the given sentence.

Relation Network Spatio-Temporal Video Grounding +1

FastLR: Non-Autoregressive Lipreading Model with Integrate-and-Fire

no code implementations6 Aug 2020 Jinglin Liu, Yi Ren, Zhou Zhao, Chen Zhang, Baoxing Huai, Nicholas Jing Yuan

NAR lipreading is a challenging task that has many difficulties: 1) the discrepancy of sequence lengths between source and target makes it difficult to estimate the length of the output sequence; 2) the conditionally independent behavior of NAR generation lacks the correlation across time which leads to a poor approximation of target distribution; 3) the feature representation ability of encoder can be weak due to lack of effective alignment mechanism; and 4) the removal of AR language model exacerbates the inherent ambiguity problem of lipreading.

Language Modelling Lipreading

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