21 citations · 106 across the 28 of their papers we have counts for
43 papers
Momentum Decoding: Open-ended Text Generation As Graph Exploration
Tian Lan, Yixuan Su, Shuhang Liu +2
Open-ended text generation with autoregressive language models (LMs) is one of the core tasks in natural language processing. However, maximization-based decoding methods (e.g., gr…
Revisiting Grammatical Error Correction Evaluation and Beyond
Peiyuan Gong, Xuebo Liu, Heyan Huang +1
Pretraining-based (PT-based) automatic evaluation metrics (e.g., BERTScore and BARTScore) have been widely used in several sentence generation tasks (e.g., machine translation and…
Capturing Global Structural Information in Long Document Question Answering with Compressive Graph Selector Network
Yuxiang Nie, Heyan Huang, Wei Wei +1
Long document question answering is a challenging task due to its demands for complex reasoning over long text. Previous works usually take long documents as non-structured flat te…
ET5: A Novel End-to-end Framework for Conversational Machine Reading Comprehension
Xiao Zhang, Heyan Huang, Zewen Chi +1
Conversational machine reading comprehension (CMRC) aims to assist computers to understand an natural language text and thereafter engage in a multi-turn conversation to answer que…
Unsupervised Hashing with Semantic Concept Mining
Rong-Cheng Tu, Xian-Ling Mao, Kevin Qinghong Lin +5
Recently, to improve the unsupervised image retrieval performance, plenty of unsupervised hashing methods have been proposed by designing a semantic similarity matrix, which is bas…
Relational Triple Extraction: One Step is Enough
Yu-Ming Shang, Heyan Huang, Xin Sun +2
Extracting relational triples from unstructured text is an essential task in natural language processing and knowledge graph construction. Existing approaches usually contain two f…