FanfictionNLP: A text processing pipeline for fanfiction

MM Yoder, S Khosla, Q Shen, A Naik, H **… - The 3rd Workshop on …, 2021‏ - par.nsf.gov
Fanfiction presents an opportunity as a data source for research in NLP, education, and
social science. However, answering specific research questions with this data is difficult …

[PDF][PDF] Knowfi: Knowledge extraction from long fictional texts

CX Chu, S Razniewski, G Weikum - 3rd Conference on Automated …, 2021‏ - pure.mpg.de
Abstract Knowledge base construction has recently been extended to fictional domains like
multivolume novels and TV/movie series, aiming to support explorative queries for fans and …

Dealing With Hierarchical Types and Label Noise in Fine-Grained Entity Ty**

J Wu, R Zhang, Y Mao, J Huai - IEEE/ACM Transactions on …, 2022‏ - ieeexplore.ieee.org
Fine-Grained entity ty** is complicated by the fact that type labels form a hierarchical
structure, and those training examples usually contain noisy type labels. This paper …

Enriching open-world knowledge graphs with expressive negative statements

H Arnaout - 2023‏ - publikationen.sulb.uni-saarland.de
Machine knowledge about entities and their relationships has been a long-standing goal for
AI researchers. Over the last 15 years, thousands of public knowledge graphs have been …

[PDF][PDF] Computational Models of Identity Presentation in Language

MM Yoder - Carnegie Mellon University, 2021‏ - kilthub.cmu.edu
Researchers in computer science and natural language processing have built models of
how language use varies according to the latent, stable identities of language users …

ENTYFI: A system for fine-grained entity ty** in fictional texts

CX Chu, S Razniewski, G Weikum - Proceedings of the 2020 …, 2020‏ - aclanthology.org
Fiction and fantasy are archetypes of long-tail domains that lack suitable NLP
methodologies and tools. We present ENTYFI, a web-based system for fine-grained ty** of …

Knowledge extraction from fictional texts

CX Chu - 2022‏ - universaar.uni-saarland.de
Knowledge extraction from text is a key task in natural language processing, which involves
many sub-tasks, such as taxonomy induction, named entity recognition and ty**, relation …