127 citations · 498 across the 73 of their papers we have counts for
9 papers · 2 filters
Explicit Sentence Compression for Neural Machine Translation
Zuchao Li, Rui Wang, Kehai Chen +4
State-of-the-art Transformer-based neural machine translation (NMT) systems still follow a standard encoder-decoder framework, in which source sentence representation can be well d…
Document-level Neural Machine Translation with Associated Memory Network
Shu Jiang, Rui Wang, Zuchao Li +5
Standard neural machine translation (NMT) is on the assumption that the document-level context is independent. Most existing document-level NMT approaches are satisfied with a smat…
Subword ELMo
Jiangtong Li, Hai Zhao, Zuchao Li +2
Embedding from Language Models (ELMo) has shown to be effective for improving many natural language processing (NLP) tasks, and ELMo takes character information to compose word rep…
A Smart Sliding Chinese Pinyin Input Method Editor on Touchscreen
Zhuosheng Zhang, Zhen Meng, Hai Zhao
This paper presents a smart sliding Chinese pinyin Input Method Editor (IME) for touchscreen devices which allows user finger sliding from one key to another on the touchscreen ins…
Modeling Named Entity Embedding Distribution into Hypersphere
Zhuosheng Zhang, Bingjie Tang, Zuchao Li +1
This work models named entity distribution from a way of visualizing topological structure of embedding space, so that we make an assumption that most, if not all, named entities (…
Open Named Entity Modeling from Embedding Distribution
Ying Luo, Hai Zhao, Zhuosheng Zhang +1
In this paper, we report our discovery on named entity distribution in a general word embedding space, which helps an open definition on multilingual named entity definition rather…
Judging Chemical Reaction Practicality From Positive Sample only Learning
Shu Jiang, Zhuosheng Zhang, Hai Zhao +4
Chemical reaction practicality is the core task among all symbol intelligence based chemical information processing, for example, it provides indispensable clue for further automat…
Chemical Names Standardization using Neural Sequence to Sequence Model
Junlang Zhan, Hai Zhao
Chemical information extraction is to convert chemical knowledge in text into true chemical database, which is a text processing task heavily relying on chemical compound name iden…
Span Model for Open Information Extraction on Accurate Corpus
Junlang Zhan, Hai Zhao
Open information extraction (Open IE) is a challenging task especially due to its brittle data basis. Most of Open IE systems have to be trained on automatically built corpus and e…