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2020 – today
- 2024
[j2]Hongliang Sun, Tongfei Chen, Chuangye Zhao, Mengxin Chen:
Grouping Decision Algorithm for Dynamic Terminals in Random Access Networks. J. Commun. Inf. Networks 9(2): 176-183 (2024)- [c26]Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme:
Learning to Retrieve Iteratively for In-Context Learning. EMNLP 2024: 7156-7168 - [i24]Weiting Tan, Yunmo Chen, Tongfei Chen, Guanghui Qin
, Haoran Xu, Heidi C. Zhang, Benjamin Van Durme, Philipp Koehn:
Streaming Sequence Transduction through Dynamic Compression. CoRR abs/2402.01172 (2024) - [i23]Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme:
Learning to Retrieve Iteratively for In-Context Learning. CoRR abs/2406.14739 (2024) - [i22]Millicent Li, Tongfei Chen, Benjamin Van Durme, Patrick Xia:
Multi-Field Adaptive Retrieval. CoRR abs/2410.20056 (2024) - 2023
- [j1]Hongliang Sun, Chao Wang, Zhenghua Liao, Tongfei Chen:
A Supermartingale Theory-Based Random Compensation Algorithm for Visible Light Communication/Radio Frequency Hybrid Networks. IEEE Access 11: 82192-82198 (2023) - [c25]Yunmo Chen, William Gantt, Weiwei Gu, Tongfei Chen, Aaron Steven White, Benjamin Van Durme:
Iterative Document-level Information Extraction via Imitation Learning. EACL 2023: 1850-1866 - [c24]Yunmo Chen, William Gantt, Tongfei Chen, Aaron Steven White, Benjamin Van Durme:
A Unified View of Evaluation Metrics for Structured Prediction. EMNLP 2023: 12868-12882 - [c23]Subhro Roy, Samuel Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme:
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing. NeurIPS 2023 - [i21]Yunmo Chen, William Gantt, Tongfei Chen, Aaron Steven White, Benjamin Van Durme:
A Unified View of Evaluation Metrics for Structured Prediction. CoRR abs/2310.13793 (2023) - 2022
- [c22]Weiwei Gu, Boyuan Zheng, Yunmo Chen, Tongfei Chen, Benjamin Van Durme:
An Empirical Study on Finding Spans. EMNLP 2022: 3976-3983 - [i20]Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme:
BenchCLAMP: A Benchmark for Evaluating Language Models on Semantic Parsing. CoRR abs/2206.10668 (2022) - [i19]Yunmo Chen, William Gantt, Weiwei Gu, Tongfei Chen, Aaron Steven White, Benjamin Van Durme:
Iterative Document-level Information Extraction via Imitation Learning. CoRR abs/2210.06600 (2022) - [i18]Weiwei Gu, Boyuan Zheng, Yunmo Chen, Tongfei Chen, Benjamin Van Durme:
An Empirical Study on Finding Spans. CoRR abs/2210.06824 (2022) - 2021
- [c21]Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme:
LOME: Large Ontology Multilingual Extraction. EACL (System Demonstrations) 2021: 149-159 - [c20]Luyu Gao, Zhuyun Dai, Tongfei Chen, Zhen Fan, Benjamin Van Durme, Jamie Callan:
Complement Lexical Retrieval Model with Semantic Residual Embeddings. ECIR (1) 2021: 146-160 - [i17]Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme:
LOME: Large Ontology Multilingual Extraction. CoRR abs/2101.12175 (2021) - 2020
- [c19]Tongfei Chen, Yunmo Chen, Benjamin Van Durme:
Hierarchical Entity Typing via Multi-level Learning to Rank. ACL 2020: 8465-8475 - [c18]Tongfei Chen, Zhengping Jiang, Adam Poliak, Keisuke Sakaguchi, Benjamin Van Durme:
Uncertain Natural Language Inference. ACL 2020: 8772-8779 - [c17]Yunmo Chen, Tongfei Chen, Seth Ebner, Aaron Steven White, Benjamin Van Durme:
Reading the Manual: Event Extraction as Definition Comprehension. SPNLP@EMNLP 2020: 74-83 - [i16]Tongfei Chen, Yunmo Chen, Benjamin Van Durme:
Hierarchical Entity Typing via Multi-level Learning to Rank. CoRR abs/2004.02286 (2020)
2010 – 2019
- 2019
- [c16]Zhongyang Li, Tongfei Chen, Benjamin Van Durme:
Learning to Rank for Plausible Plausibility. ACL (1) 2019: 4818-4823 - [c15]Tongfei Chen, Jirí Navrátil, Vijay S. Iyengar, Karthikeyan Shanmugam:
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes. AISTATS 2019: 1467-1475 - [c14]Yiming Wang, Sanjeev Khudanpur, Tongfei Chen, Hainan Xu, Shuoyang Ding, Hang Lv, Yiwen Shao, Nanyun Peng, Lei Xie, Shinji Watanabe:
Espresso: A Fast End-to-End Neural Speech Recognition Toolkit. ASRU 2019: 136-143 - [c13]Arya D. McCarthy, Tongfei Chen, Rachel Rudinger, David W. Matula:
Metrics Matter in Community Detection. COMPLEX NETWORKS (1) 2019: 164-175 - [c12]Arya D. McCarthy, Tongfei Chen, Seth Ebner:
An Exact No Free Lunch Theorem for Community Detection. COMPLEX NETWORKS (1) 2019: 176-187 - [c11]Yiming Wang, Xing Fan, I-Fan Chen, Yuzong Liu, Tongfei Chen, Björn Hoffmeister:
End-to-end Anchored Speech Recognition. ICASSP 2019: 7090-7094 - [c10]Pushpendre Rastogi, Arpit Gupta, Tongfei Chen, Lambert Mathias:
Scaling Multi-Domain Dialogue State Tracking via Query Reformulation. NAACL-HLT (2) 2019: 97-105 - [c9]J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme:
Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting. NAACL-HLT (1) 2019: 839-850 - [i15]Yunmo Chen, Seth Ebner, Tongfei Chen, Patrick Xia, Elias Stengel-Eskin, Tzu-Ray Su, J. Edward Hu, Nils Holzenberger, Ryan Culkin, Craig Harman, Max Thomas, Thomas Lippincott, Aaron Steven White, Kyle Rawlins, Benjamin Van Durme:
NIST TAC SM-KBP 2019 System Description: JHU/UR Framework. TAC 2019 - [i14]Arya D. McCarthy, Tongfei Chen, Rachel Rudinger, David W. Matula:
Metrics matter in community detection. CoRR abs/1901.01354 (2019) - [i13]Yiming Wang, Xing Fan, I-Fan Chen, Yuzong Liu, Tongfei Chen, Björn Hoffmeister:
End-to-end Anchored Speech Recognition. CoRR abs/1902.02383 (2019) - [i12]Pushpendre Rastogi, Arpit Gupta, Tongfei Chen, Lambert Mathias:
Scaling Multi-Domain Dialogue State Tracking via Query Reformulation. CoRR abs/1903.05164 (2019) - [i11]Arya D. McCarthy, Tongfei Chen, Seth Ebner:
An Exact No Free Lunch Theorem for Community Detection. CoRR abs/1903.10092 (2019) - [i10]Tongfei Chen, Chetan Naik, Hua He, Pushpendre Rastogi, Lambert Mathias:
Improving Long Distance Slot Carryover in Spoken Dialogue Systems. CoRR abs/1906.01149 (2019) - [i9]Zhongyang Li, Tongfei Chen, Benjamin Van Durme:
Learning to Rank for Plausible Plausibility. CoRR abs/1906.02079 (2019) - [i8]Tongfei Chen, Zhengping Jiang, Keisuke Sakaguchi, Benjamin Van Durme:
Uncertain Natural Language Inference. CoRR abs/1909.03042 (2019) - [i7]Yiming Wang, Tongfei Chen, Hainan Xu, Shuoyang Ding, Hang Lv, Yiwen Shao, Nanyun Peng, Lei Xie, Shinji Watanabe, Sanjeev Khudanpur:
Espresso: A Fast End-to-end Neural Speech Recognition Toolkit. CoRR abs/1909.08723 (2019) - [i6]Yunmo Chen, Tongfei Chen, Seth Ebner, Benjamin Van Durme:
Reading the Manual: Event Extraction as Definition Comprehension. CoRR abs/1912.01586 (2019) - 2018
- [c8]Hainan Xu, Tongfei Chen, Dongji Gao, Yiming Wang, Ke Li, Nagendra Goel, Yishay Carmiel, Daniel Povey, Sanjeev Khudanpur:
A Pruned Rnnlm Lattice-Rescoring Algorithm for Automatic Speech Recognition. ICASSP 2018: 5929-5933 - [c7]Rashmi Sankepally, Tongfei Chen, Benjamin Van Durme, Douglas W. Oard:
A Test Collection for Coreferent Mention Retrieval. SIGIR 2018: 1209-1212 - [i5]Patrick Xia, Elias Stengel-Eskin, Tongfei Chen, Seth Ebner, Nils Holzenberger, Ryan Culkin, Pushpendre Rastogi, Xutai Ma, Benjamin Van Durme:
NIST TAC SM-KBP 2018 System Description: JHU/UR Pipeline. TAC 2018 - [i4]Tongfei Chen, Jirí Navrátil, Vijay S. Iyengar, Karthikeyan Shanmugam:
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes. CoRR abs/1805.05396 (2018) - 2017
- [c6]Tongfei Chen, Benjamin Van Durme:
Discriminative Information Retrieval for Question Answering Sentence Selection. EACL (2) 2017: 719-725 - [c5]Benjamin Van Durme, Tom Lippincott, Kevin Duh, Deana Burchfield, Adam Poliak, Cash Costello, Tim Finin, Scott Miller, James Mayfield, Philipp Koehn, Craig Harman, Dawn J. Lawrie, Chandler May, Max Thomas, Annabelle Carrell, Julianne Chaloux, Tongfei Chen, Alex Comerford, Mark Dredze, Benjamin Glass, Shudong Hao, Patrick Martin, Pushpendre Rastogi, Rashmi Sankepally, Travis Wolfe, Ying-Ying Tran, Ted Zhang:
CADET: Computer Assisted Discovery Extraction and Translation. IJCNLP (System Demonstrations) 2017: 5-8 - [c4]Tongfei Chen:
Typesafe abstractions for tensor operations (short paper). SCALA@SPLASH 2017: 45-50 - [i3]Tongfei Chen:
Typesafe Abstractions for Tensor Operations. CoRR abs/1710.06892 (2017) - 2016
- [i2]Tongfei Chen, Benjamin Van Durme:
Discriminative Information Retrieval for Knowledge Discovery. CoRR abs/1610.01901 (2016) - 2014
- [c3]Ni Sun, Tongfei Chen, Liumingjing Xiao, Junfeng Hu:
Diachronic Deviation Features in Continuous Space Word Representations. CCL 2014: 23-33 - [i1]Junhao Zhang, Tongfei Chen, Junfeng Hu:
On the relationship between Gaussian stochastic blockmodels and label propagation algorithms. CoRR abs/1407.1425 (2014) - 2013
- [c2]Tongfei Chen, Weimeng Zhu, Xueqiang Lv, Junfeng Hu:
A Kalman Filter Based Human-Computer Interactive Word Segmentation System for Ancient Chinese Texts. CCL 2013: 25-35 - [c1]Tongfei Chen, Xiaojun Zou, Weimeng Zhu, Junfeng Hu:
Human-Computer Interactive Chinese Word Segmentation: An Adaptive Dirichlet Process Mixture Model Approach. IJCNLP 2013: 1278-1284
Coauthor Index
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