每天给你送来NLP技术干货!
作者:zenRRan
公众号:深度学习自然语言处理
AAAI2022出来一段时间了,但是好像还没人整理出NLP相关的论文呢,趁着周末最后一天还没过完,吐血整理了一番,需要的收藏即可。
其中包括:信息抽取、关系抽取、机器翻译、命名实体识别、多模态、数据增强、智能问答、多语言、知识蒸馏、文本纠错等。
OneRel: Joint Entity and Relation Extraction with One Module in One Step
Yu-Ming Shang, Heyan Huang, Xian-Ling Mao
BROS: A Pre-Trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents
Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park
Selecting Optimal Context Sentences for Event-Event Relation Extraction
Hieu Man Duc Trong, Nghia Ngo Trung, Linh Van Ngo, Thien Huu Nguyen
Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction
Chang-You Tai, Ming-Yao Li, Lun-Wei Ku
Language Model Priming for Cross-Lingual Event Extraction
Steven Fincke, Shantanu Agarwal, Scott Miller, Elizabeth Boschee
Content-Variant Reference Image Quality Assessment via Knowledge Distillation
Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, Changhu Wang
Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-Trained Transformers
Minjia Zhng, Niranjan Uma Naresh, Yuxiong He
Boosting Contrastive Learning with Relation Knowledge Distillation
Kai Zheng, Yuanjiang Wang, Ye Yuan
UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation
Zhengkun Zhang, Xiaojun Meng, Yasheng Wang, Xin Jiang, Qun Liu, Zhenglu Yang
Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay
Kuluhan Binici, Shivam Aggarwal, Nam Trung Pham, Karianto Leman, Tulika Mitra
Cross-Task Knowledge Distillation in Multi-Task Recommendation
Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen
Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation
Thong Nguyen, Luu Anh Tuan
Knowledge Distillation via Constrained Variational Inference
Ardavan Saeedi, Yuria Utsumi, Li Sun, Kayhan Batmanghelich, Li-wei H. Lehman
Up to 100$\times$ Faster Data-Free Knowledge Distillation
Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song
Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-Trained Transformers
Minjia Zhng, Niranjan Uma Naresh, Yuxiong He
Boosting Contrastive Learning with Relation Knowledge Distillation
Kai Zheng, Yuanjiang Wang, Ye Yuan
Multilingual Code Snippets Training for Program Translation
Ming Zhu, Karthik Suresh, Chandan K. Reddy
Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation
Thong Nguyen, Luu Anh Tuan
DetIE: Multilingual Open Information Extraction Inspired by Object Detection
Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrey Chertok, Sergey Nikolenko
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph
Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
Language Model Priming for Cross-Lingual Event Extraction
Steven Fincke, Shantanu Agarwal, Scott Miller, Elizabeth Boschee
Cross-Lingual Adversarial Domain Adaptation for Novice Programming
Ye Mao, Farzaneh Khoshnevisan, Thomas Price, Tiffany Barnes, Min Chi
Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters
Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova
From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension
Nuo Chen, Linjun Shou, Ming Gong, Jian Pei
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training
Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
Parameter Differentiation Based Multilingual Neural Machine Translation
Qian Wang, Jiajun Zhang
XLM-K: Improving Cross-Lingual Language Model Pre-Training with Multilingual Knowledge
Xiaoze Jiang, Yaobo Liang, Weizhu Chen, Nan Duan
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement
Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He
BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles
Yunxiang Zhang, Xiaojun Wan
UNISON: Unpaired Cross-Lingual Image Captioning
Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq Joty, Jiuxiang Gu
Video as Conditional Graph Hierarchy for Multi-Granular Question Answering
Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua
Block-Skim: Efficient Question Answering for Transformer
Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng, Minyi Guo
BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles
Yunxiang Zhang, Xiaojun Wan
(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering
Anoop Cherian, Chiori Hori, Tim K. Marks, Jonathan Le Roux
Zero-Shot Commonsense Question Answering with Cloze Translation and Consistency Optimization
Zi-Yi Dou, Nanyun (Violet) Peng
Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering
Mingxiao Li, Marie-Francine Moens
Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching
Huatian Zhang, Zhendong Mao, Kun Zhang, Yongdong Zhang
Event-Image Fusion Stereo Using Cross-Modality Feature Propagation
Hoonhee Cho, Kuk-Jin Yoon
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-Based Image Captioning
Wenqiao Zhang, Haochen Shi, Jiannan Guo, Shengyu Zhang, Qingpeng Cai, Juncheng Li, Sihui Luo, Yueting Zhuang
Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization
Litian Zhang, Junshu Pan, Xiaoming Zhang, Feiran Huang
UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation
Zhengkun Zhang, Xiaojun Meng, Yasheng Wang, Xin Jiang, Qun Liu, Zhenglu Yang
Cross-Modal Mutual Learning for Audio-Visual Speech Recognition and Manipulation
Chih-Chun Yang, Wan-Cyuan Fan, Cheng-Fu Yang, Yu-Chiang Frank Wang
Cross-Modal Coherence for Text-to-Image Retrieval
Malihe Alikhani, Fangda Han, Hareesh Ravi, Mubbasir Kapadia, Vladimir Pavlovic, Matthew Stone
Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective.
Emmanuelle Salin, Badreddine Farah, Stéphane Ayache, Benoit Favre
D-Vlog: Multimodal Vlog Dataset for Depression Detection
Jeewoo Yoon, Chaewon Kang, Seungbae Kim, Jinyoung Han
Sentiment and Emotion-Aware Multi-Modal Complaint Identification
Apoorva Singh, Soumyodeep Dey, Anamitra Singha, Sriparna Saha
Parameter Differentiation Based Multilingual Neural Machine Translation
Qian Wang, Jiajun Zhang
Deep Fusing Pre-Trained Models into Neural Machine Translation
Rongxiang Weng, Heng Yu, Weihua Luo, Min Zhang
Non-Parametric Online Learning from Human Feedback for Neural Machine Translation
Dongqi Wang, Haoran Wei, Zhirui Zhang, Shujian Huang, Jun Xie, Jiajun Chen
Frequency-Aware Contrastive Learning for Neural Machine Translation
Tong Zhang, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, Wen Zhao
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables
Krtin Kumar, Peyman Passban, Mehdi Rezagholizadeh, Yiusing Lau, Qun Liu
Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters
Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova
Unified Named Entity Recognition as Word-Word Relation Classification
Jingye Li, Donghong Ji, Jiang Liu, Hao Fei, Meishan Zhang, Shengqiong Wu, Chong Teng, Fei Li
BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition
Miao Yin, Huy Phan, Xiao Zang, Siyu Liao, Bo yuan
From Dense to Sparse: Contrastive Pruning for Better Pre-Trained Language Model Compression
Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang
Convolutional Neural Network Compression Through Generalized Kronecker Product Decomposition
Marawan Gamal Abdel Hameed, Marzieh Tahaei, Ali Mosleh, Vahid Partovi Nia
Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-Trained Transformers
Minjia Zhng, Niranjan Uma Naresh, Yuxiong He
ALP: Data Augmentation Using Lexicalized PCFGs for Few-Shot Text Classification
Hazel Kim, Daecheol Woo, Seong Joon Oh, Jeong-Won Cha, Yo-Sub Han
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph
Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension
Nuo Chen, Linjun Shou, Ming Gong, Jian Pei
Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation
Jiquan Li, Junliang Guo, Yongxin Zhu, Xin Sheng, Deqiang Jiang, Bo Ren, Linli Xu
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