Extracting relations between non-standard entities using distant supervision and imitation learning

Isabelle Augenstein, A. Vlachos, Diana Maynard

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Original language	American English
Title of host publication	Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing
DOIs	https://doi.org/10.18653/v1/d15-1086
State	Published - 2015

Access to Document

Construction of Method and Algorithm Knowledge Graphs at University College London (UCL) Big Data Institute
Lunagomez, S. (CoI), Collins, E. (CoI), Augenstein, I. (CoI), Riedel, S. (CoI), Maynard, D. (CoI), Montcheva, K. (CoI), Ling, E. (CoI) & Hobby, M. (CoI)
10/1/15 → 09/30/17
Project: Research

@inproceedings{b848b5729ce84faca5b38b029476f882,

title = "Extracting relations between non-standard entities using distant supervision and imitation learning",

author = "Isabelle Augenstein and A. Vlachos and Diana Maynard",

year = "2015",

doi = "10.18653/v1/d15-1086",

language = "American English",

booktitle = "Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing",

}

TY - GEN

T1 - Extracting relations between non-standard entities using distant supervision and imitation learning

AU - Augenstein, Isabelle

AU - Vlachos, A.

AU - Maynard, Diana

PY - 2015

Y1 - 2015

U2 - 10.18653/v1/d15-1086

DO - 10.18653/v1/d15-1086

M3 - Conference contribution

BT - Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing

ER -