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20172022
most citedExplicit Sparse Transformer: Concentrated Attention Through Explicit Selection

77 citations · 91 across the 8 of their papers we have counts for

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14 papers · 1 filter

cs.CL20221 cited

That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memory

Xuemei Tang, Qi Su, Jun Wang

The evolution of language follows the rule of gradual change. Grammar, vocabulary, and lexical semantic shifts take place over time, resulting in a diachronic linguistic gap. As su…

cs.CL2021

Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge

Yi Zhang, Lei Li, Yunfang Wu +2

Knowledge facts are typically represented by relational triples, while we observe that some commonsense facts are represented by the triples whose forms are inconsistent with the e…

cs.CL20207 cited

Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks

Shu Liu, Wei Li, Yunfang Wu +2

Target-Based Sentiment Analysis aims to detect the opinion aspects (aspect extraction) and the sentiment polarities (sentiment detection) towards them. Both the previous pipeline a…

cs.CL201977 cited

Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection

Guangxiang Zhao, Junyang Lin, Zhiyuan Zhang +3

Self-attention based Transformer has demonstrated the state-of-the-art performances in a number of natural language processing tasks. Self-attention is able to model long-term depe…

cs.CL2019

Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction

Deli Chen, Shuming ma, Keiko Harimoto +3

Incorporating related text information has proven successful in stock market prediction. However, it is a huge challenge to utilize texts in the enormous forex (foreign currency ex…

cs.CL2018

A Deep Reinforced Sequence-to-Set Model for Multi-Label Text Classification

Pengcheng Yang, Shuming Ma, Yi Zhang +3

Multi-label text classification (MLTC) aims to assign multiple labels to each sample in the dataset. The labels usually have internal correlations. However, traditional methods ten…