Search Results for author: Siyao Peng

Found 10 papers, 4 papers with code

Tencent submission for WMT20 Quality Estimation Shared Task

no code implementations WMT (EMNLP) 2020 Haijiang Wu, Zixuan Wang, Qingsong Ma, Xinjie Wen, Ruichen Wang, Xiaoli Wang, Yulin Zhang, Zhipeng Yao, Siyao Peng

This paper presents Tencent’s submission to the WMT20 Quality Estimation (QE) Shared Task: Sentence-Level Post-editing Effort for English-Chinese in Task 2.

Machine Translation Translation

PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English

1 code implementation COLING (LAW) 2020 Michael Kranzlein, Emma Manning, Siyao Peng, Shira Wein, Aryaman Arora, Bradford Salen, Nathan Schneider

We present the Prepositions Annotated with Supersense Tags in Reddit International English ("PASTRIE") corpus, a new dataset containing manually annotated preposition supersenses of English data from presumed speakers of four L1s: English, French, German, and Spanish.

AMALGUM -- A Free, Balanced, Multilayer English Web Corpus

1 code implementation LREC 2020 Luke Gessler, Siyao Peng, Yang Liu, YIlun Zhu, Shabnam Behzad, Amir Zeldes

We present a freely available, genre-balanced English web corpus totaling 4M tokens and featuring a large number of high-quality automatic annotation layers, including dependency trees, non-named entity annotations, coreference resolution, and discourse trees in Rhetorical Structure Theory.

Coreference Resolution

A Corpus of Adpositional Supersenses for Mandarin Chinese

no code implementations LREC 2020 Siyao Peng, Yang Liu, YIlun Zhu, Austin Blodgett, Yushi Zhao, Nathan Schneider

Adpositions are frequent markers of semantic relations, but they are highly ambiguous and vary significantly from language to language.

Translation

Modeling Long-Range Context for Concurrent Dialogue Acts Recognition

no code implementations2 Sep 2019 Yue Yu, Siyao Peng, Grace Hui Yang

Previous work on DA recognition either assumes one DA per utterance or fails to realize the sequential nature of dialogues.

All Roads Lead to UD: Converting Stanford and Penn Parses to English Universal Dependencies with Multilayer Annotations

no code implementations COLING 2018 Siyao Peng, Amir Zeldes

We describe and evaluate different approaches to the conversion of gold standard corpus data from Stanford Typed Dependencies (SD) and Penn-style constituent trees to the latest English Universal Dependencies representation (UD 2. 2).

Coreference Resolution NER

Adpositional Supersenses for Mandarin Chinese

no code implementations6 Dec 2018 YIlun Zhu, Yang Liu, Siyao Peng, Austin Blodgett, Yushi Zhao, Nathan Schneider

This study adapts Semantic Network of Adposition and Case Supersenses (SNACS) annotation to Mandarin Chinese and demonstrates that the same supersense categories are appropriate for Chinese adposition semantics.

Machine Translation Translation

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