Tongfei Chen
陈桐飞

I am a research scientist at Augment Code. Before that, I was a senior researcher at Microsoft Semantic Machines.

I obtained my Ph.D. in Computer Science at Center for Language and Speech Processing at Johns Hopkins University under advisor Prof. Benjamin Van Durme. Prior to Hopkins, I obtained my B.Sc. in Computer Science from Peking University.

In addition to natural languages, I'm also interested in programming languages: I design expressive, typesafe DSLs for various domain applications (e.g. deep learning).

My full CV can be found here.

style
Publications
Learning to retrieve iteratively for in-context learning
outstanding paper award
EMNLP 2024
Yunmo Chen
Tongfei Chen
Harsh Jhamtani
Patrick Xia
Richard Shin
Jason Eisner
Benjamin Van Durme
A unified view of evaluation metrics for structured prediction
EMNLP 2023
Yunmo Chen*
Will Gantt*
Tongfei Chen*
Aaron Steven White
Benjamin Van Durme
BenchCLAMP: A benchmark for evaluating language models on semantic parsing
NeurIPS 2023 Data & Benchmarks
Subhro Roy
Sam Thomson
Tongfei Chen
Richard Shin
Adam Pauls
Jason Eisner
Benjamin Van Durme
Iterative document-level information extraction via imitation learning
outstanding paper award
EACL 2023
Yunmo Chen
William Gantt
Weiwei Gu
Tongfei Chen
Aaron Steven White
Benjamin Van Durme
An empirical study on finding spans
EMNLP 2022
Weiwei Gu
Boyuan Zheng
Yunmo Chen
Tongfei Chen
Benjamin Van Durme
Complement lexical retrieval model with semantic residual embeddings
ECIR 2021
Luyu Gao
Zhuyun Dai
Tongfei Chen
Zhen Fan
Benjamin Van Durme
Jamie Callan
LOME: Large Ontology Multilingual Extraction
EACL 2021 Demo
Patrick Xia*
Guanghui Qin*
Siddharth Vashishtha
Yunmo Chen
Tongfei Chen
Chandler May
Craig Harman
Kyle Rawlins
Aaron Steven White
Benjamin Van Durme
Joint modeling of arguments for event understanding
CODI@EMNLP 2020
Yunmo Chen
Tongfei Chen
Benjamin Van Durme
Reading the Manual: Event extraction as definition comprehension
SPNLP@EMNLP 2020
Yunmo Chen
Tongfei Chen
Seth Ebner
Aaron Steven White
Benjamin Van Durme
Hierarchical entity typing via multi-level learning to rank
ACL 2020
Tongfei Chen
Yunmo Chen
Benjamin Van Durme
Uncertain natural language inference
ACL 2020
Tongfei Chen*
Zhengping Jiang*
Adam Poliak
Keisuke Sakaguchi
Benjamin Van Durme
Espresso: A fast end-to-end neural speech recognition toolkit
ASRU 2019
Yiming Wang
Tongfei Chen
Hainan Xu
Shuoyang Ding
Hang Lv
Yiwen Shao
Nanyun Peng
Lei Xie
Shinji Watanabe
Sanjeev Khudanpur
An exact No Free Lunch theorem for community detection
COMPLEX NETWORKS 2019
Arya D. McCarthy
Tongfei Chen
Seth Ebner
Metrics matter in community detection
COMPLEX NETWORKS 2019
Arya D. McCarthy
Tongfei Chen
Rachel Rudinger
David W. Matula
Improving long distance slot carryover in spoken dialogue systems
best paper award
NLP4ConvAI@ACL 2019
Tongfei Chen
Chetan Naik
Hua He
Pushpendre Rastogi
Lambert Mathias
Learning to rank for plausible plausibility
ACL 2019
Zhongyang Li
Tongfei Chen
Benjamin Van Durme
Scaling multi-domain dialogue state tracking via query reformulation
NAACL 2019 Industry
Pushpendre Rastogi
Arpit Gupta
Tongfei Chen
Lambert Mathias
Improved lexically-constrained decoding for translation and monolingual rewriting
NAACL 2019
J. Edward Hu
Huda Khayrallah
Ryan Culkin
Patrick Xia
Tongfei Chen
Matt Post
Benjamin Van Durme
End-to-end anchored speech recognition
ICASSP 2019
Yiming Wang
Xing Fan
I-Fan Chen
Yuzong Liu
Tongfei Chen
Björn Hoffmeister
Confidence scoring using whitebox meta-models with linear classifier probes
AISTATS 2019 / PMLR 89
Tongfei Chen
Jiří Navrátil
Vijay Iyengar
Karthikeyan Shanmugam
NIST TAC SM-KBP 2018 system description: JHU/UR pipeline
TAC 2018
Patrick Xia
Elias Stengel-Eskin
Tongfei Chen
Seth Ebner
Nils Holzenberger
Ryan Culkin
Pushpendre Rastogi
Xutai Ma
Benjamin Van Durme
A test collection for coreferent mention retrieval
SIGIR 2018
Rashmi Sankepally
Tongfei Chen
Benjamin Van Durme
Douglas W. Oard
A pruned RNNLM lattice-rescoring algorithm for automatic speech recognition
ICASSP 2018
Hainan Xu
Tongfei Chen
Dongji Gao
Yiming Wang
Ke Li
Nagendra Goel
Yishay Carmiel
Daniel Povey
Sanjeev Khudanpur
Cadet: Computer Assisted Discovery Extraction and Translation
IJCNLP 2017 Demo
Benjamin Van Durme
Tom Lippincott
Kevin Duh
Deana Burchfield
Adam Poliak
Cash Costello
Tim Finin
Scott Miller
James Mayfield
Philipp Koehn
Craig Harman
Dawn 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
Typesafe abstractions for tensor operations
SCALA@SPLASH 2017
Tongfei Chen
Discriminative information retrieval for question answering sentence selection
EACL 2017
Tongfei Chen
Benjamin Van Durme
On the relationship between Gaussian stochastic blockmodels and label propagation algorithms
J. Stat. Mech. 2015(3)
Junhao Zhang
Tongfei Chen
Junfeng Hu
Diachronic deviation features in continuous space word representations
CCL 2014 / LNAI 8801
Ni Sun
Tongfei Chen
Liumingjing Xiao
Junfeng Hu
Human-computer interactive Chinese word segmentation: An adaptive Dirichlet process mixture model approach
IJCNLP 2013
Tongfei Chen
Xiaojun Zou
Weimeng Zhu
Junfeng Hu
A Kalman filter based human-computer interactive segmentation system for ancient Chinese texts
CCL 2013 / LNAI 8202
Tongfei Chen
Weimeng Zhu
Xueqiang Lv
Junfeng Hu
local_play
Talks
Towards typesafe deep learning in Scala
NEScala 2018