Search Results for author: Tongfei Chen

Found 16 papers, 5 papers with code

Joint Modeling of Arguments for Event Understanding

1 code implementation20 Nov 2020 Yunmo Chen, Tongfei Chen, Benjamin Van Durme

We recognize the task of event argument linking in documents as similar to that of intent slot resolution in dialogue, providing a Transformer-based model that extends from a recently proposed solution to resolve references to slots.

Complementing Lexical Retrieval with Semantic Residual Embedding

no code implementations29 Apr 2020 Luyu Gao, Zhuyun Dai, Tongfei Chen, Zhen Fan, Benjamin Van Durme, Jamie Callan

This paper presents CLEAR, a retrieval model that seeks to complement classical lexical exact-match models such as BM25 with semantic matching signals from a neural embedding matching model.

Information Retrieval

Hierarchical Entity Typing via Multi-level Learning to Rank

1 code implementation ACL 2020 Tongfei Chen, Yunmo Chen, Benjamin Van Durme

We propose a novel method for hierarchical entity classification that embraces ontological structure at both training and during prediction.

Entity Typing Learning-To-Rank

Reading the Manual: Event Extraction as Definition Comprehension

no code implementations3 Dec 2019 Yunmo Chen, Tongfei Chen, Seth Ebner, Aaron Steven White, Benjamin Van Durme

We ask whether text understanding has progressed to where we may extract event information through incremental refinement of bleached statements derived from annotation manuals.

Event Extraction

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

1 code implementation18 Sep 2019 Yiming Wang, Tongfei Chen, Hainan Xu, Shuoyang Ding, Hang Lv, Yiwen Shao, Nanyun Peng, Lei Xie, Shinji Watanabe, Sanjeev Khudanpur

We present Espresso, an open-source, modular, extensible end-to-end neural automatic speech recognition (ASR) toolkit based on the deep learning library PyTorch and the popular neural machine translation toolkit fairseq.

automatic-speech-recognition Data Augmentation +4

Uncertain Natural Language Inference

no code implementations ACL 2020 Tongfei Chen, Zhengping Jiang, Adam Poliak, Keisuke Sakaguchi, Benjamin Van Durme

We introduce Uncertain Natural Language Inference (UNLI), a refinement of Natural Language Inference (NLI) that shifts away from categorical labels, targeting instead the direct prediction of subjective probability assessments.

Learning-To-Rank Natural Language Inference

Learning to Rank for Plausible Plausibility

no code implementations ACL 2019 Zhongyang Li, Tongfei Chen, Benjamin Van Durme

Researchers illustrate improvements in contextual encoding strategies via resultant performance on a battery of shared Natural Language Understanding (NLU) tasks.

Learning-To-Rank Natural Language Understanding

Improving Long Distance Slot Carryover in Spoken Dialogue Systems

no code implementations WS 2019 Tongfei Chen, Chetan Naik, Hua He, Pushpendre Rastogi, Lambert Mathias

One such approach for tracking the dialogue state is slot carryover, where a model makes a binary decision if a slot from the context is relevant to the current turn.

Spoken Dialogue Systems

Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting

1 code implementation NAACL 2019 J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme

Lexically-constrained sequence decoding allows for explicit positive or negative phrase-based constraints to be placed on target output strings in generation tasks such as machine translation or monolingual text rewriting.

Data Augmentation Machine Translation +3

End-to-end Anchored Speech Recognition

no code implementations6 Feb 2019 Yiming Wang, Xing Fan, I-Fan Chen, Yuzong Liu, Tongfei Chen, Björn Hoffmeister

The anchored segment refers to the wake-up word part of an audio stream, which contains valuable speaker information that can be used to suppress interfering speech and background noise.

Multi-Task Learning Speech Recognition

Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes

no code implementations14 May 2018 Tongfei Chen, Jiří Navrátil, Vijay Iyengar, Karthikeyan Shanmugam

We propose a novel confidence scoring mechanism for deep neural networks based on a two-model paradigm involving a base model and a meta-model.

Discriminative Information Retrieval for Question Answering Sentence Selection

1 code implementation EACL 2017 Tongfei Chen, Benjamin Van Durme

We propose a framework for discriminative IR atop linguistic features, trained to improve the recall of answer candidate passage retrieval, the initial step in text-based question answering.

Information Retrieval Passage Retrieval +1

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