Tongfei Chen

According to our database, Tongfei Chen authored at least 39 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Grouping Decision Algorithm for Dynamic Terminals in Random Access Networks.

Hongliang Sun, Tongfei Chen, Chuangye Zhao, Mengxin Chen

J. Commun. Inf. Networks, 2024

Multi-Field Adaptive Retrieval.

Millicent Li, Tongfei Chen, Benjamin Van Durme, Patrick Xia

CoRR, 2024

Streaming Sequence Transduction through Dynamic Compression.

Weiting Tan, Yunmo Chen, Tongfei Chen, Guanghui Qin, Haoran Xu, Heidi C. Zhang, Benjamin Van Durme, Philipp Koehn

CoRR, 2024

Learning to Retrieve Iteratively for In-Context Learning.

Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

A Supermartingale Theory-Based Random Compensation Algorithm for Visible Light Communication/Radio Frequency Hybrid Networks.

Hongliang Sun, Chao Wang, Zhenghua Liao, Tongfei Chen

IEEE Access, 2023

BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing.

Subhro Roy, Samuel Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Unified View of Evaluation Metrics for Structured Prediction.

Yunmo Chen, William Gantt, Tongfei Chen, Aaron Steven White, Benjamin Van Durme

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Iterative Document-level Information Extraction via Imitation Learning.

Yunmo Chen, William Gantt, Weiwei Gu, Tongfei Chen, Aaron Steven White, Benjamin Van Durme

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

BenchCLAMP: A Benchmark for Evaluating Language Models on Semantic Parsing.

Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme

CoRR, 2022

An Empirical Study on Finding Spans.

Weiwei Gu, Boyuan Zheng, Yunmo Chen, Tongfei Chen, Benjamin Van Durme

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Complement Lexical Retrieval Model with Semantic Residual Embeddings.

Luyu Gao, Zhuyun Dai, Tongfei Chen, Zhen Fan, Benjamin Van Durme, Jamie Callan

Proceedings of the Advances in Information Retrieval, 2021

LOME: Large Ontology Multilingual Extraction.

Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

2020

Uncertain Natural Language Inference.

Tongfei Chen, Zhengping Jiang, Adam Poliak, Keisuke Sakaguchi, Benjamin Van Durme

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Hierarchical Entity Typing via Multi-level Learning to Rank.

Tongfei Chen, Yunmo Chen, Benjamin Van Durme

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Reading the Manual: Event Extraction as Definition Comprehension.

Yunmo Chen, Tongfei Chen, Seth Ebner, Aaron Steven White, Benjamin Van Durme

Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, 2020

2019

Reading the Manual: Event Extraction as Definition Comprehension.

Yunmo Chen, Tongfei Chen, Seth Ebner, Benjamin Van Durme

CoRR, 2019

Uncertain Natural Language Inference.

Tongfei Chen, Zhengping Jiang, Keisuke Sakaguchi, Benjamin Van Durme

CoRR, 2019

Improving Long Distance Slot Carryover in Spoken Dialogue Systems.

Tongfei Chen, Chetan Naik, Hua He, Pushpendre Rastogi, Lambert Mathias

CoRR, 2019

NIST TAC SM-KBP 2019 System Description: JHU/UR Framework.

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

Proceedings of the 2019 Text Analysis Conference, 2019

Scaling Multi-Domain Dialogue State Tracking via Query Reformulation.

Pushpendre Rastogi, Arpit Gupta, Tongfei Chen, Lambert Mathias

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting.

J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

End-to-end Anchored Speech Recognition.

Yiming Wang, Xing Fan, I-Fan Chen, Yuzong Liu, Tongfei Chen, Björn Hoffmeister

Proceedings of the IEEE International Conference on Acoustics, 2019

Metrics Matter in Community Detection.

Arya D. McCarthy, Tongfei Chen, Rachel Rudinger, David W. Matula

Proceedings of the Complex Networks and Their Applications VIII, 2019

An Exact No Free Lunch Theorem for Community Detection.

Arya D. McCarthy, Tongfei Chen, Seth Ebner

Proceedings of the Complex Networks and Their Applications VIII, 2019

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit.

Yiming Wang, Sanjeev Khudanpur, Tongfei Chen, Hainan Xu, Shuoyang Ding, Hang Lv, Yiwen Shao, Nanyun Peng, Lei Xie, Shinji Watanabe

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes.

Tongfei Chen, Jirí Navrátil, Vijay S. Iyengar, Karthikeyan Shanmugam

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Learning to Rank for Plausible Plausibility.

Zhongyang Li, Tongfei Chen, Benjamin Van Durme

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

NIST TAC SM-KBP 2018 System Description: JHU/UR Pipeline.

Patrick Xia, Elias Stengel-Eskin, Tongfei Chen, Seth Ebner, Nils Holzenberger, Ryan Culkin, Pushpendre Rastogi, Xutai Ma, Benjamin Van Durme

Proceedings of the 2018 Text Analysis Conference, 2018

A Test Collection for Coreferent Mention Retrieval.

Rashmi Sankepally, Tongfei Chen, Benjamin Van Durme, Douglas W. Oard

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

A Pruned Rnnlm Lattice-Rescoring Algorithm for Automatic Speech Recognition.

Hainan Xu, Tongfei Chen, Dongji Gao, Yiming Wang, Ke Li, Nagendra Goel, Yishay Carmiel, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Typesafe Abstractions for Tensor Operations.

Tongfei Chen

CoRR, 2017

Typesafe abstractions for tensor operations (short paper).

Tongfei Chen

Proceedings of the 8th ACM SIGPLAN International Symposium on Scala, 2017

CADET: Computer Assisted Discovery Extraction and Translation.

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

Proceedings of the IJCNLP 2017, Tapei, Taiwan, November 27, 2017

Discriminative Information Retrieval for Question Answering Sentence Selection.

Tongfei Chen, Benjamin Van Durme

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Discriminative Information Retrieval for Knowledge Discovery.

Tongfei Chen, Benjamin Van Durme

CoRR, 2016

2014

On the relationship between Gaussian stochastic blockmodels and label propagation algorithms.

Junhao Zhang, Tongfei Chen, Junfeng Hu

CoRR, 2014

Diachronic Deviation Features in Continuous Space Word Representations.

Ni Sun, Tongfei Chen, Liumingjing Xiao, Junfeng Hu

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2014

2013

Human-Computer Interactive Chinese Word Segmentation: An Adaptive Dirichlet Process Mixture Model Approach.

Tongfei Chen, Xiaojun Zou, Weimeng Zhu, Junfeng Hu

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

A Kalman Filter Based Human-Computer Interactive Word Segmentation System for Ancient Chinese Texts.

Tongfei Chen, Weimeng Zhu, Xueqiang Lv, Junfeng Hu

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2013