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20162023
most citedEmpower Sequence Labeling with Task-Aware Neural Language Model

151 citations · 410 across the 48 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

cs.CL2018

Learning Named Entity Tagger using Domain-Specific Dictionary

Jingbo Shang, Liyuan Liu, Xiang Ren +3

Recent advances in deep neural models allow us to build reliable named entity recognition (NER) systems without handcrafting features. However, such methods require large amounts o…

cs.IR2018

Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach

Jiaming Shen, Jinfeng Xiao, Xinwei He +3

Literature search is critical for any scientific research. Different from Web or general domain search, a large portion of queries in scientific literature search are entity-set qu…

cs.CL2018

Integrating Local Context and Global Cohesiveness for Open Information Extraction

Qi Zhu, Xiang Ren, Jingbo Shang +3

Extracting entities and their relations from text is an important task for understanding massive text corpora. Open information extraction (IE) systems mine relation tuples (i.e.,…

cs.CL2018

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

Liyuan Liu, Xiang Ren, Jingbo Shang +2

Many efforts have been made to facilitate natural language processing tasks with pre-trained language models (LMs), and brought significant improvements to various applications. To…

cs.SI2018

Contrast Subgraph Mining from Coherent Cores

Jingbo Shang, Xiyao Shi, Meng Jiang +3

Graph pattern mining methods can extract informative and useful patterns from large-scale graphs and capture underlying principles through the overwhelmed information. Contrast ana…

cs.IR2018

Investigating Rumor News Using Agreement-Aware Search

Jingbo Shang, Tianhang Sun, Jiaming Shen +6

Recent years have witnessed a widespread increase of rumor news generated by humans and machines. Therefore, tools for investigating rumor news have become an urgent necessity. One…