462 citations · 1.5k across the 58 of their papers we have counts for
6 papers · 1 filter
Weakly-Supervised Neural Text Classification
Yu Meng, Jiaming Shen, Chao Zhang +1
Deep neural networks are gaining increasing popularity for the classic text classification task, due to their strong expressive power and less requirement for feature engineering.…
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…
Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings
Huan Gui, Qi Zhu, Liyuan Liu +2
Expert finding is an important task in both industry and academia. It is challenging to rank candidates with appropriate expertise for various queries. In addition, different types…
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning
Xuan Wang, Yu Zhang, Xiang Ren +5
Motivation: State-of-the-art biomedical named entity recognition (BioNER) systems often require handcrafted features specific to each entity type, such as genes, chemicals and dise…
Unsupervised Extraction of Representative Concepts from Scientific Literature
Adit Krishnan, Aravind Sankar, Shi Zhi +1
This paper studies the automated categorization and extraction of scientific concepts from titles of scientific articles, in order to gain a deeper understanding of their key contr…
Comparative Document Analysis for Large Text Corpora
Xiang Ren, Yuanhua Lv, Kuansan Wang +1
This paper presents a novel research problem on joint discovery of commonalities and differences between two individual documents (or document sets), called Comparative Document An…