Mingda Chen | DeepAI

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Featured Co-authors

Yang Chen
117 publications
Kevin Gimpel
64 publications
Karen Livescu
64 publications
Marta R. Costa-Jussà
52 publications
Radu Soricut
37 publications
Holger Schwenk
31 publications
Jing Chen
30 publications
Zhenzhong Lan
30 publications
Ramakanth Pasunuru
26 publications
Manaal Faruqui
25 publications
Sam Wiseman
25 publications

∙ 06/22/2023

xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages

We introduce a new proxy score for evaluating bitext mining based on sim...

0 Mingda Chen, et al. ∙

∙ 12/16/2022

BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric

End-to-End speech-to-speech translation (S2ST) is generally evaluated wi...

0 Mingda Chen, et al. ∙

∙ 07/21/2022

Leveraging Natural Supervision for Language Representation Learning and Generation

Recent breakthroughs in Natural Language Processing (NLP) have been driv...

0 Mingda Chen, et al. ∙

∙ 05/03/2022

Improving In-Context Few-Shot Learning via Self-Supervised Training

Self-supervised pretraining has made few-shot learning possible for many...

1 Mingda Chen, et al. ∙

∙ 09/18/2021

TVRecap: A Dataset for Generating Stories with Character Descriptions

We introduce TVRecap, a story generation dataset that requires generatin...

0 Mingda Chen, et al. ∙

∙ 04/14/2021

SummScreen: A Dataset for Abstractive Screenplay Summarization

We introduce SummScreen, a summarization dataset comprised of pairs of T...

0 Mingda Chen, et al. ∙

∙ 12/29/2020

Generating Wikipedia Article Sections from Diverse Data Sources

Datasets for data-to-text generation typically focus either on multi-dom...

0 Mingda Chen, et al. ∙

∙ 10/12/2020

Controllable Paraphrasing and Translation with a Syntactic Exemplar

Most prior work on exemplar-based syntactically controlled paraphrase ge...

0 Mingda Chen, et al. ∙

∙ 10/03/2020

Mining Knowledge for Natural Language Inference from Wikipedia Categories

Accurate lexical entailment (LE) and natural language inference (NLI) of...

0 Mingda Chen, et al. ∙

∙ 05/16/2020

Learning Probabilistic Sentence Representations from Paraphrases

Probabilistic word embeddings have shown effectiveness in capturing noti...

0 Mingda Chen, et al. ∙

∙ 11/21/2019

How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions

We present a large-scale dataset for the task of rewriting an ill-formed...

0 Zewei Chu, et al. ∙

∙ 09/26/2019

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Increasing model size when pretraining natural language representations ...

11 Zhenzhong Lan, et al. ∙

∙ 08/31/2019

Evaluation Benchmarks and Learning Criteriafor Discourse-Aware Sentence Representations

Prior work on pretrained sentence embeddings and benchmarks focus on the...

0 Mingda Chen, et al. ∙

∙ 08/31/2019

EntEval: A Holistic Evaluation Benchmark for Entity Representations

Rich entity representations are useful for a wide class of problems invo...

0 Mingda Chen, et al. ∙

∙ 06/23/2019

Variational Sequential Labelers for Semi-Supervised Learning

We introduce a family of multitask variational methods for semi-supervis...

0 Mingda Chen, et al. ∙

∙ 06/23/2019

Smaller Text Classifiers with Discriminative Cluster Embeddings

Word embedding parameters often dominate overall model sizes in neural m...

0 Mingda Chen, et al. ∙

∙ 06/03/2019

Controllable Paraphrase Generation with a Syntactic Exemplar

Prior work on controllable text generation usually assumes that the cont...

0 Mingda Chen, et al. ∙

∙ 04/02/2019

A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations

We propose a generative model for a sentence that uses two latent variab...

0 Mingda Chen, et al. ∙

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