12 citations · 22 across the 5 of their papers we have counts for
5 papers
Joint Open Knowledge Base Canonicalization and Linking
Yinan Liu, Wei Shen, Yuanfei Wang +3
Open Information Extraction (OIE) methods extract a large number of OIE triples (noun phrase, relation phrase, noun phrase) from text, which compose large Open Knowledge Bases (OKB…
Low-resource Personal Attribute Prediction from Conversation
Yinan Liu, Hu Chen, Wei Shen +1
Personal knowledge bases (PKBs) are crucial for a broad range of applications such as personalized recommendation and Web-based chatbots. A critical challenge to build PKBs is extr…
Entity Linking Meets Deep Learning: Techniques and Solutions
Wei Shen, Yuhan Li, Yinan Liu +3
Entity linking (EL) is the process of linking entity mentions appearing in web text with their corresponding entities in a knowledge base. EL plays an important role in the fields…
Subjective Bias in Abstractive Summarization
Lei Li, Wei Liu, Marina Litvak +4
Due to the subjectivity of the summarization, it is a good practice to have more than one gold summary for each training document. However, many modern large-scale abstractive summ…
On Extending NLP Techniques from the Categorical to the Latent Space: KL Divergence, Zipf's Law, and Similarity Search
Adam Hare, Yu Chen, Yinan Liu +2
Despite the recent successes of deep learning in natural language processing (NLP), there remains widespread usage of and demand for techniques that do not rely on machine learning…