@inproceedings{wanzare-EtAl:2017:LSDSem,
title = {Inducing Script Structure from Crowdsourced Event Descriptions via Semi-Supervised Clustering},
author = {Lilian Diana Awuor Wanzare and Alessandra Zarcone and Stefan Thater and Manfred Pinkal},
url = {https://www.aclweb.org/anthology/W17-0901},
doi = {https://doi.org/10.18653/v1/W17-0901},
year = {2017},
date = {2017},
booktitle = {Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics},
pages = {1-11},
publisher = {Association for Computational Linguistics},
address = {Valencia, Spain},
abstract = {We present a semi-supervised clustering approach to induce script structure from crowdsourced descriptions of event sequences by grouping event descriptions into paraphrase sets (representing event types) and inducing their temporal order. Our approach exploits semantic and positional similarity and allows for flexible event order, thus overcoming the rigidity of previous approaches. We incorporate crowdsourced alignments as prior knowledge and show that exploiting a small number of alignments results in a substantial improvement in cluster quality over state-of-the-art models and provides an appropriate basis for the induction of temporal order. We also show a coverage study to demonstrate the scalability of our approach.},
pubstate = {published},
type = {inproceedings}
}