activity
20192023
most citedKnowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion

12 citations · 24 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2023★ 4 cited

Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting

Chen Chen, Yufei Wang, Aixin Sun +2

Knowledge Graph Completion (KGC) often requires both KG structural and textual information to be effective. Pre-trained Language Models (PLMs) have been used to learn the textual i…

cs.CL2023

Exploiting Correlations Between Contexts and Definitions with Multiple Definition Modeling

Linhan Zhang, Qian Chen, Wen Wang +4

Definition modeling is an important task in advanced natural language applications such as understanding and conversation. Since its introduction, it focus on generating one defini…

cs.CL2022★ 12 cited

Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion

Chen Chen, Yufei Wang, Bing Li +1

Knowledge Graph Completion (KGC) has been recently extended to multiple knowledge graph (KG) structures, initiating new research directions, e.g. static KGC, temporal KGC and few-s…

cs.CL2021★ 6 cited

MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction

Linhan Zhang, Qian Chen, Wen Wang +5

Keyphrase extraction (KPE) automatically extracts phrases in a document that provide a concise summary of the core content, which benefits downstream information retrieval and NLP…

cs.CL2021

Sent2Span: Span Detection for PICO Extraction in the Biomedical Text without Span Annotations

Shifeng Liu, Yifang Sun, Bing Li +3

The rapid growth in published clinical trials makes it difficult to maintain up-to-date systematic reviews, which requires finding all relevant trials. This leads to policy and pra…

cs.CL2021

FGNET-RH: Fine-Grained Named Entity Typing via Refinement in Hyperbolic Space

Muhammad Asif Ali, Yifang Sun, Bing Li +1

Fine-Grained Named Entity Typing (FG-NET) aims at classifying the entity mentions into a wide range of entity types (usually hundreds) depending upon the context. While distant sup…