works on

From the 1 of 1.3k papers with an AI index.

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20032026
most citedReview of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

1k citations

Showing 2019 · cs.CLShow all

7 papers · 2 filters

cs.CL20192 cited

Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention

Lei Cao, Huijun Zhang, Ling Feng +4

Despite detection of suicidal ideation on social media has made great progress in recent years, people's implicitly and anti-real contrarily expressed posts still remain as an obst…

cs.CL20197 cited

Modeling Semantic Compositionality with Sememe Knowledge

Fanchao Qi, Junjie Huang, Chenghao Yang +4

Semantic compositionality (SC) refers to the phenomenon that the meaning of a complex linguistic unit can be composed of the meanings of its constituents. Most related works focus…

cs.CL20191 cited

Joint Lifelong Topic Model and Manifold Ranking for Document Summarization

Jianying Lin, Rui Liu, Quanye Jia

Due to the manifold ranking method has a significant effect on the ranking of unknown data based on known data by using a weighted network, many researchers use the manifold rankin…

cs.CL201910 cited

COS960: A Chinese Word Similarity Dataset of 960 Word Pairs

Junjie Huang, Fanchao Qi, Chenghao Yang +2

Word similarity computation is a widely recognized task in the field of lexical semantics. Most proposed tasks test on similarity of word pairs of single morpheme, while few works…

cs.CL2019145 cited

Augmenting Data with Mixup for Sentence Classification: An Empirical Study

Hongyu Guo, Yongyi Mao, Richong Zhang

Mixup, a recent proposed data augmentation method through linearly interpolating inputs and modeling targets of random samples, has demonstrated its capability of significantly imp…

cs.CL2019

FANDA: A Novel Approach to Perform Follow-up Query Analysis

Qian Liu, Bei Chen, Jian-Guang Lou +2

Recent work on Natural Language Interfaces to Databases (NLIDB) has attracted considerable attention. NLIDB allow users to search databases using natural language instead of SQL-li…