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2020 – today
- 2024
[c48]Mingyu Derek Ma, Alexander K. Taylor, Nuan Wen, Yanchen Liu, Po-Nien Kung, Wenna Qin, Shicheng Wen, Azure Zhou, Diyi Yang, Xuezhe Ma, Nanyun Peng, Wei Wang:
MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways. AAAI 2024: 23811-23813- [c47]Xu Han, Linghao Jin, Xuezhe Ma, Xiaofeng Liu:
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models. EMNLP (Findings) 2024: 10784-10799 - [i51]Xuezhe Ma, Xiaomeng Yang, Wenhan Xiong, Beidi Chen, Lili Yu, Hao Zhang, Jonathan May, Luke Zettlemoyer, Omer Levy, Chunting Zhou:
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length. CoRR abs/2404.08801 (2024) - [i50]Xu Han, Linghao Jin, Xuezhe Ma, Xiaofeng Liu:
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models. CoRR abs/2407.02716 (2024) - [i49]Linghao Jin, Li An, Xuezhe Ma:
Towards Chapter-to-Chapter Context-Aware Literary Translation via Large Language Models. CoRR abs/2407.08978 (2024) - [i48]Chunting Zhou, Lili Yu, Arun Babu, Kushal Tirumala, Michihiro Yasunaga, Leonid Shamis, Jacob Kahn, Xuezhe Ma, Luke Zettlemoyer, Omer Levy:
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model. CoRR abs/2408.11039 (2024) - [i47]Nan Xu, Xuezhe Ma:
LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems. CoRR abs/2410.14166 (2024) - 2023
- [c46]Shuai Liu, Hyundong Cho, Marjorie Freedman, Xuezhe Ma, Jonathan May
:
RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation. ACL (1) 2023: 8404-8419 - [c45]Mozhdeh Gheini, Xuezhe Ma, Jonathan May:
Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-Tuning. ACL (Findings) 2023: 11602-11612 - [c44]Nan Xu, Chunting Zhou, Asli Celikyilmaz, Xuezhe Ma:
Look-back Decoding for Open-Ended Text Generation. EMNLP 2023: 1039-1050 - [c43]Jiao Sun, Yufei Tian, Wangchunshu Zhou, Nan Xu, Qian Hu, Rahul Gupta, John Frederick Wieting, Nanyun Peng, Xuezhe Ma:
Evaluating Large Language Models on Controlled Generation Tasks. EMNLP 2023: 3155-3168 - [c42]Linghao Jin, Jacqueline He, Jonathan May, Xuezhe Ma:
Challenges in Context-Aware Neural Machine Translation. EMNLP 2023: 15246-15263 - [c41]Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma:
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification. ICCV 2023: 4933-4943 - [c40]Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer:
Mega: Moving Average Equipped Gated Attention. ICLR 2023 - [c39]Chunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy:
LIMA: Less Is More for Alignment. NeurIPS 2023 - [c38]Li An, Linghao Jin, Xuezhe Ma:
MAX-ISI System at WMT23 Discourse-Level Literary Translation Task. WMT 2023: 282-286 - [i46]Chunting Zhou, Pengfei Liu, Puxin Xu, Srini Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy:
LIMA: Less Is More for Alignment. CoRR abs/2305.11206 (2023) - [i45]Nan Xu, Chunting Zhou, Asli Celikyilmaz, Xuezhe Ma:
Look-back Decoding for Open-Ended Text Generation. CoRR abs/2305.13477 (2023) - [i44]Linghao Jin, Jacqueline He, Jonathan May, Xuezhe Ma:
Challenges in Context-Aware Neural Machine Translation. CoRR abs/2305.13751 (2023) - [i43]Shuai Liu, Hyundong Cho, Marjorie Freedman, Xuezhe Ma, Jonathan May:
RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation. CoRR abs/2306.07206 (2023) - [i42]Mingyu Derek Ma, Alexander K. Taylor, Nuan Wen, Yanchen Liu, Po-Nien Kung, Wenna Qin, Shicheng Wen, Azure Zhou, Diyi Yang, Xuezhe Ma, Nanyun Peng, Wei Wang:
MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways. CoRR abs/2310.02529 (2023) - [i41]Dacheng Li, Rulin Shao, Anze Xie, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Xuezhe Ma, Hao Zhang:
LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers. CoRR abs/2310.03294 (2023) - [i40]Jiao Sun, Yufei Tian, Wangchunshu Zhou, Nan Xu, Qian Hu, Rahul Gupta, John Frederick Wieting, Nanyun Peng, Xuezhe Ma:
Evaluating Large Language Models on Controlled Generation Tasks. CoRR abs/2310.14542 (2023) - 2022
- [c37]Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Prompt Consistency for Zero-Shot Task Generalization. EMNLP (Findings) 2022: 2613-2626 - [c36]Chenghao Yang, Xuezhe Ma:
Improving Stability of Fine-Tuning Pretrained Language Models via Component-Wise Gradient Norm Clipping. EMNLP 2022: 4854-4859 - [c35]Jiao Sun, Swabha Swayamdipta, Jonathan May, Xuezhe Ma:
Investigating the Benefits of Free-Form Rationales. EMNLP (Findings) 2022: 5867-5882 - [c34]Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Towards a Unified View of Parameter-Efficient Transfer Learning. ICLR 2022 - [e1]Alon Albalak, Chunting Zhou, Colin Raffel, Deepak Ramachandran, Sebastian Ruder, Xuezhe Ma:
Transfer Learning for Natural Language Processing Workshop, 03 December 2022, New Orleans, Louisiana, USA. Proceedings of Machine Learning Research 203, PMLR 2022 [contents] - [i39]Ming-Chang Chiu, Xuezhe Ma:
Learning Representations Robust to Group Shifts and Adversarial Examples. CoRR abs/2202.09446 (2022) - [i38]Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Prompt Consistency for Zero-Shot Task Generalization. CoRR abs/2205.00049 (2022) - [i37]Mozhdeh Gheini, Xuezhe Ma, Jonathan May:
Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-tuning. CoRR abs/2205.12453 (2022) - [i36]Jiao Sun, Swabha Swayamdipta, Jonathan May, Xuezhe Ma:
Investigating the Benefits of Free-Form Rationales. CoRR abs/2206.11083 (2022) - [i35]Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer:
Mega: Moving Average Equipped Gated Attention. CoRR abs/2209.10655 (2022) - [i34]Chenghao Yang, Xuezhe Ma:
Improving Stability of Fine-Tuning Pretrained Language Models via Component-Wise Gradient Norm Clipping. CoRR abs/2210.10325 (2022) - [i33]Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma:
Better May Not Be Fairer: Can Data Augmentation Mitigate Subgroup Degradation? CoRR abs/2212.08649 (2022) - [i32]Ming-Chang Chiu, Yingfei Wang, Derrick Eui Gyu Kim, Pin-Yu Chen, Xuezhe Ma:
On Human Visual Contrast Sensitivity and Machine Vision Robustness: A Comparative Study. CoRR abs/2212.08650 (2022) - 2021
- [c33]Shikhar Singh, Nuan Wen, Yu Hou, Pegah Alipoormolabashi, Te-Lin Wu, Xuezhe Ma, Nanyun Peng:
COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences. ACL/IJCNLP (Findings) 2021: 883-898 - [c32]Jiao Sun, Xuezhe Ma, Nanyun Peng:
AESOP: Paraphrase Generation with Adaptive Syntactic Control. EMNLP (1) 2021: 5176-5189 - [c31]Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy:
Decoupling Global and Local Representations via Invertible Generative Flows. ICLR 2021 - [c30]Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig:
Examining and Combating Spurious Features under Distribution Shift. ICML 2021: 12857-12867 - [c29]Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng:
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation. NAACL-HLT (Demonstrations) 2021: 26-34 - [c28]Yuwei Wu, Xuezhe Ma, Diyi Yang:
Personalized Response Generation via Generative Split Memory Network. NAACL-HLT 2021: 1956-1970 - [c27]Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer:
Luna: Linear Unified Nested Attention. NeurIPS 2021: 2441-2453 - [i31]Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng:
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation. CoRR abs/2102.02191 (2021) - [i30]Shikhar Singh, Nuan Wen, Yu Hou, Pegah Alipoormolabashi, Te-Lin Wu, Xuezhe Ma, Nanyun Peng:
COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences. CoRR abs/2106.00969 (2021) - [i29]Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer:
Luna: Linear Unified Nested Attention. CoRR abs/2106.01540 (2021) - [i28]Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig:
Examining and Combating Spurious Features under Distribution Shift. CoRR abs/2106.07171 (2021) - [i27]Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Towards a Unified View of Parameter-Efficient Transfer Learning. CoRR abs/2110.04366 (2021) - 2020
- [c26]Zhisong Zhang, Xiang Kong, Zhengzhong Liu, Xuezhe Ma, Eduard H. Hovy:
A Two-Step Approach for Implicit Event Argument Detection. ACL 2020: 7479-7485 - [i26]Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy:
Decoupling Global and Local Representations from/for Image Generation. CoRR abs/2004.11820 (2020) - [i25]Xuezhe Ma:
Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization. CoRR abs/2009.13586 (2020)
2010 – 2019
- 2019
- [c25]Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing:
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. ACL (3) 2019: 159-164 - [c24]Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig:
Choosing Transfer Languages for Cross-Lingual Learning. ACL (1) 2019: 3125-3135 - [c23]Zhisong Zhang, Xuezhe Ma, Eduard H. Hovy:
An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing. ACL (1) 2019: 5592-5598 - [c22]Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Kai-Wei Chang, Nanyun Peng:
Cross-Lingual Dependency Parsing with Unlabeled Auxiliary Languages. CoNLL 2019: 372-382 - [c21]Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig:
Handling Syntactic Divergence in Low-resource Machine Translation. EMNLP/IJCNLP (1) 2019: 1388-1394 - [c20]Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard H. Hovy:
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow. EMNLP/IJCNLP (1) 2019: 4281-4291 - [c19]Xuezhe Ma, Chunting Zhou, Eduard H. Hovy:
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders. ICLR (Poster) 2019 - [c18]Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig:
Density Matching for Bilingual Word Embedding. NAACL-HLT (1) 2019: 1588-1598 - [c17]Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Eduard H. Hovy, Kai-Wei Chang, Nanyun Peng:
On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing. NAACL-HLT (1) 2019: 2440-2452 - [c16]Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy:
MaCow: Masked Convolutional Generative Flow. NeurIPS 2019: 5891-5900 - [i24]Eduard H. Hovy, Jaime G. Carbonell, Hans Chalupsky, Anatole Gershman, Alex Hauptmann, Florian Metze, Teruko Mitamura, Zaid Sheikh, Ankit Dangi, Aditi Chaudhary, Xianyang Chen, Xiang Kong, Bernie Huang, Salvador Medina, Hector Liu, Xuezhe Ma, Maria Ryskina, Ramon Sanabria, Varun Gangal:
OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. TAC 2019 - [i23]Xuezhe Ma, Chunting Zhou, Eduard H. Hovy:
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders. CoRR abs/1901.01498 (2019) - [i22]Xuezhe Ma, Eduard H. Hovy:
MaCow: Masked Convolutional Generative Flow. CoRR abs/1902.04208 (2019) - [i21]Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig:
Density Matching for Bilingual Word Embedding. CoRR abs/1904.02343 (2019) - [i20]Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig:
Choosing Transfer Languages for Cross-Lingual Learning. CoRR abs/1905.12688 (2019) - [i19]Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig:
Handling Syntactic Divergence in Low-resource Machine Translation. CoRR abs/1909.00040 (2019) - [i18]Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard H. Hovy:
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow. CoRR abs/1909.02480 (2019) - [i17]Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Kai-Wei Chang, Nanyun Peng:
Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages. CoRR abs/1909.09265 (2019) - 2018
- [c15]Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, Eduard H. Hovy:
Stack-Pointer Networks for Dependency Parsing. ACL (1) 2018: 1403-1414 - [i16]Eduard H. Hovy, Taylor Berg-Kirkpatrick, Jaime G. Carbonell, Hans Chalupsky, Anatole Gershman, Alexander G. Hauptmann, Florian Metze, Teruko Mitamura, Aditi Chaudhary, Xianyang Chen, Bernie Po-Yao Huang, Hector Zhengzhong Liu, Xuezhe Ma, Shruti Palaskar, Dheeraj Rajagopal, Maria Ryskina, Ramon Sanabria:
OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. TAC 2018 - [i15]Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, Eduard H. Hovy:
Stack-Pointer Networks for Dependency Parsing. CoRR abs/1805.01087 (2018) - [i14]Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Xingjiang Yu, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing:
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. CoRR abs/1809.00794 (2018) - [i13]Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Eduard H. Hovy, Kai-Wei Chang, Nanyun Peng:
Near or Far, Wide Range Zero-Shot Cross-Lingual Dependency Parsing. CoRR abs/1811.00570 (2018) - 2017
- [c14]Qizhe Xie, Xuezhe Ma, Zihang Dai, Eduard H. Hovy:
An Interpretable Knowledge Transfer Model for Knowledge Base Completion. ACL (1) 2017: 950-962 - [c13]Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy:
Dropout with Expectation-linear Regularization. ICLR (Poster) 2017 - [c12]Xuezhe Ma, Eduard H. Hovy:
Neural Probabilistic Model for Non-projective MST Parsing. IJCNLP(1) 2017: 59-69 - [c11]Jiarui Xu, Xuezhe Ma, Chen-Tse Tsai, Eduard H. Hovy:
STCP: Simplified-Traditional Chinese Conversion and Proofreading. IJCNLP (System Demonstrations) 2017: 61-64 - [i12]Hans Chalupsky, Jun Araki, Eduard H. Hovy, Andrew Hsi, Zhengzhong Liu, Xuezhe Ma, Evangelia Spiliopoulou, Shuxin Yao:
Multi-lingual Extraction and Integration of Entities, Relations, Events and Sentiments into ColdStart++ KBs with the SAFT System. TAC 2017 - [i11]Xuezhe Ma, Nicolas R. Fauceglia, Yiu-Chang Lin, Eduard H. Hovy:
CMU System for Entity Discovery and Linking at TAC-KBP 2017. TAC 2017 - [i10]Xuezhe Ma, Eduard H. Hovy:
Neural Probabilistic Model for Non-projective MST Parsing. CoRR abs/1701.00874 (2017) - [i9]Qizhe Xie, Xuezhe Ma, Zihang Dai, Eduard H. Hovy:
An Interpretable Knowledge Transfer Model for Knowledge Base Completion. CoRR abs/1704.05908 (2017) - [i8]Xuezhe Ma, Pengcheng Yin, Jingzhou Liu, Graham Neubig, Eduard H. Hovy:
Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML. CoRR abs/1705.07136 (2017) - 2016
- [c10]Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy, Eric P. Xing:
Harnessing Deep Neural Networks with Logic Rules. ACL (1) 2016 - [c9]Xuezhe Ma, Eduard H. Hovy:
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF. ACL (1) 2016 - [c8]Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy:
Unsupervised Ranking Model for Entity Coreference Resolution. HLT-NAACL 2016: 1012-1018 - [i7]Xuezhe Ma, Nicolas R. Fauceglia, Yiu-Chang Lin, Eduard H. Hovy:
CMU System for Entity Discovery and Linking at TAC-KBP 2016. TAC 2016 - [i6]Xuezhe Ma, Eduard H. Hovy:
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF. CoRR abs/1603.01354 (2016) - [i5]Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy:
Unsupervised Ranking Model for Entity Coreference Resolution. CoRR abs/1603.04553 (2016) - [i4]Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy, Eric P. Xing:
Harnessing Deep Neural Networks with Logic Rules. CoRR abs/1603.06318 (2016) - [i3]Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy:
Dropout with Expectation-linear Regularization. CoRR abs/1609.08017 (2016) - 2015
- [c7]Nicolas R. Fauceglia, Yiu-Chang Lin, Xuezhe Ma, Eduard H. Hovy:
Word Sense Disambiguation via PropStore and OntoNotes for Event Mention Detection. EVENTS@HLP-NAACL 2015: 11-15 - [c6]Xuezhe Ma, Eduard H. Hovy:
Efficient Inner-to-outer Greedy Algorithm for Higher-order Labeled Dependency Parsing. EMNLP 2015: 1322-1328 - [i2]Nicolas R. Fauceglia, Yiu-Chang Lin, Xuezhe Ma, Eduard H. Hovy:
CMU System for Entity Discovery and Linking at TAC-KBP 2015. TAC 2015 - [i1]Xuezhe Ma, Hai Zhao:
Probabilistic Models for High-Order Projective Dependency Parsing. CoRR abs/1502.04174 (2015) - 2014
- [c5]Xuezhe Ma, Fei Xia:
Unsupervised Dependency Parsing with Transferring Distribution via Parallel Guidance and Entropy Regularization. ACL (1) 2014: 1337-1348 - 2013
- [c4]Xuezhe Ma, Fei Xia:
Dependency Parser Adaptation with Subtrees from Auto-Parsed Target Domain Data. ACL (2) 2013: 585-590 - 2012
- [c3]Xuezhe Ma, Hai Zhao:
Fourth-Order Dependency Parsing. COLING (Posters) 2012: 785-796 - 2010
- [c2]Xuezhe Ma, Xiaotian Zhang, Hai Zhao, Bao-Liang Lu:
Dependency Parser for Chinese Constituent Parsing. CIPS-SIGHAN 2010 - [c1]Yao Qian, Zhizheng Wu, Xuezhe Ma, Frank K. Soong:
Automatic prosody prediction and detection with Conditional Random Field (CRF) models. ISCSLP 2010: 135-138
Coauthor Index
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