activity
20142019
most citedLinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search

255 citations · 270 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.BM2019★ 255 cited

LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search

Liang Huang, He Zhang, Dezhong Deng +4

Motivation: Predicting the secondary structure of an RNA sequence is useful in many applications. Existing algorithms (based on dynamic programming) suffer from a major limitation:…

cs.CL2018★ 5 cited

When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)

Liang Huang, Kai Zhao, Mingbo Ma

In neural text generation such as neural machine translation, summarization, and image captioning, beam search is widely used to improve the output text quality. However, in the ne…

cs.CL2017★ 1 cited

OSU Multimodal Machine Translation System Report

Mingbo Ma, Dapeng Li, Kai Zhao +1

This paper describes Oregon State University's submissions to the shared WMT'17 task "multimodal translation task I". In this task, all the sentence pairs are image captions in dif…

cs.CL2017★ 5 cited

Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks

Mingbo Ma, Kai Zhao, Liang Huang +2

Sentence-level classification and sequential labeling are two fundamental tasks in language understanding. While these two tasks are usually modeled separately, in reality, they ar…

cs.CL2017★ 1 cited

Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank

Kai Zhao, Liang Huang

Discourse parsing has long been treated as a stand-alone problem independent from constituency or dependency parsing. Most attempts at this problem are pipelined rather than end-to…

cs.CL2014★ 3 cited

Type-Driven Incremental Semantic Parsing with Polymorphism

Kai Zhao, Liang Huang

Semantic parsing has made significant progress, but most current semantic parsers are extremely slow (CKY-based) and rather primitive in representation. We introduce three new tech…