Search Results for author: Yi-Pei Chen

Found 8 papers, 1 papers with code

Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders

no code implementations EMNLP 2020 Andrew Drozdov, Subendhu Rongali, Yi-Pei Chen, Tim O{'}Gorman, Mohit Iyyer, Andrew McCallum

The deep inside-outside recursive autoencoder (DIORA; Drozdov et al. 2019) is a self-supervised neural model that learns to induce syntactic tree structures for input sentences *without access to labeled training data*.

Constituency Grammar Induction Sentence

How do people talk about images? A study on open-domain conversations with images.

no code implementations NAACL (ACL) 2022 Yi-Pei Chen, Nobuyuki Shimizu, Takashi Miyazaki, Hideki Nakayama

This paper explores how humans conduct conversations with images by investigating an open-domain image conversation dataset, ImageChat.

LED: A Dataset for Life Event Extraction from Dialogs

1 code implementation17 Apr 2023 Yi-Pei Chen, An-Zi Yen, Hen-Hsen Huang, Hideki Nakayama, Hsin-Hsi Chen

Our proposed life event dialog dataset and in-depth analysis of IE frameworks will facilitate future research on life event extraction from conversations.

Event Extraction Relation Extraction

Breaking Down Multilingual Machine Translation

no code implementations Findings (ACL) 2022 Ting-Rui Chiang, Yi-Pei Chen, Yi-Ting Yeh, Graham Neubig

While multilingual training is now an essential ingredient in machine translation (MT) systems, recent work has demonstrated that it has different effects in different multilingual settings, such as many-to-one, one-to-many, and many-to-many learning.

Decoder Machine Translation +1

UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering

no code implementations NAACL 2019 Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen, Jijnasa Nayak, Lun-Wei Ku

In relation extraction for knowledge-based question answering, searching from one entity to another entity via a single relation is called "one hop".

Question Answering Relation +1

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