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Describing a Knowledge Base
This work builds a generation framework based on a pointer network which can copy facts from the input KB, and adds two attention mechanisms: (i) slot-aware attention to capture the association between a slot type and its corresponding slot value; and (ii) a new table position self-attention to captured the inter-dependencies among related slots.
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
A novel and comprehensive knowledge discovery framework, COVID-KG, to extract fine-grained multimedia knowledge elements (entities, relations and events) from scientific literature and exploit the constructed multimedia knowledge graphs (KGs) for question answering and report generation.
Paper Abstract Writing through Editing Mechanism
We present a paper abstract writing system based on an attentive neural sequence-to-sequence model that can take a title as input and automatically generate an abstract. We design a novel
PaperRobot: Incremental Draft Generation of Scientific Ideas
We present a PaperRobot who performs as an automatic research assistant by (1) conducting deep understanding of a large collection of human-written papers in a target domain and constructing
A Survey of Knowledge-Enhanced Text Generation
A comprehensive review of the research on knowledge enhanced text generation over the past five years is presented, which includes two parts: general methods and architectures for integrating knowledge into text generation; and specific techniques and applications according to different forms of knowledge data.
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis
A novel ReviewRobot is built to automatically assign a review score and write comments for multiple categories such as novelty and meaningful comparison, and can serve as an assistant for paper reviewers, program chairs and authors.
GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System
This research highlights the need to understand more fully the role of emotion in human interaction and the role that language plays in the development of language and culture.
GAIA at SM-KBP 2020-A Dockerized Multi-media Multi-lingual Knowledge Extraction, Clustering, Temporal Tracking and Hypothesis Generation System
Manling Li, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Haoyang Wen, Sha Li Zhenhailong Wang, Pengfei Yu, Lifu Huang, Di Lu, Qingyun Wang Haoran Zhang, Qi Zeng, Chi Han, Zixuan Zhang, Yujia Qin Xiaodan Hu,
A Two-Layer Dialogue Framework For Authoring Social Bots
In this work, we explored creating a social bot for casual conversations. One of the major challenges in designing social bots is how to keep the user engaged. We experimented with a range of
Stage-wise Fine-tuning for Graph-to-Text Generation
This paper proposes a structured graph-to-text model with a two-step fine-tuning mechanism which first fine-tunes the model on Wikipedia before adapting to the graph- to-text generation, and proposes a novel treelevel embedding method to capture the interdependency structures of the input graph.