Search Results for author: Tongfei Chen

Found 21 papers, 9 papers with code

Streaming Sequence Transduction through Dynamic Compression

1 code implementation2 Feb 2024 Weiting Tan, Yunmo Chen, Tongfei Chen, Guanghui Qin, Haoran Xu, Heidi C. Zhang, Benjamin Van Durme, Philipp Koehn

We introduce STAR (Stream Transduction with Anchor Representations), a novel Transformer-based model designed for efficient sequence-to-sequence transduction over streams.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

A Unified View of Evaluation Metrics for Structured Prediction

1 code implementation20 Oct 2023 Yunmo Chen, William Gantt, Tongfei Chen, Aaron Steven White, Benjamin Van Durme

We present a conceptual framework that unifies a variety of evaluation metrics for different structured prediction tasks (e. g. event and relation extraction, syntactic and semantic parsing).

Relation Extraction Semantic Parsing +1

An Empirical Study on Finding Spans

no code implementations13 Oct 2022 Weiwei Gu, Boyuan Zheng, Yunmo Chen, Tongfei Chen, Benjamin Van Durme

We present an empirical study on methods for span finding, the selection of consecutive tokens in text for some downstream tasks.

Iterative Document-level Information Extraction via Imitation Learning

2 code implementations12 Oct 2022 Yunmo Chen, William Gantt, Weiwei Gu, Tongfei Chen, Aaron Steven White, Benjamin Van Durme

We present a novel iterative extraction model, IterX, for extracting complex relations, or templates (i. e., N-tuples representing a mapping from named slots to spans of text) within a document.

4-ary Relation Extraction Imitation Learning

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

1 code implementation NeurIPS 2023 Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme

We introduce BenchCLAMP, a Benchmark to evaluate Constrained LAnguage Model Parsing, that includes context-free grammars for seven semantic parsing datasets and two syntactic parsing datasets with varied output representations, as well as a constrained decoding interface to generate only valid outputs covered by these grammars.

Language Modelling Semantic Parsing +2

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.

Sentence

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 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 implementations EMNLP (spnlp) 2020 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 Automatic Speech Recognition (ASR) +5

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 +1

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 +1

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.

Passage Retrieval Question Answering +2

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