%0 Conference Paper %1 scheible2016model %A Scheible, Christian %A Klinger, Roman %A Padó, Sebastian %B Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) %C Berlin, Germany %D 2016 %I Association for Computational Linguistics %K citation detection extraction language natural nlp processing quotation quote %P 1736--1745 %R 10.18653/v1/P16-1164 %T Model Architectures for Quotation Detection %U https://www.aclweb.org/anthology/P16-1164 %X Quotation detection is the task of locating spans of quoted speech in text. The state of the art treats this problem as a sequence labeling task and employs linear-chain conditional random fields. We question the efficacy of this choice: The Markov assumption in the model prohibits it from making joint decisions about the begin, end, and internal context of a quotation. We perform an extensive analysis with two new model architectures. We find that (a), simple boundary classification combined with a greedy prediction strategy is competitive with the state of the art; (b), a semi-Markov model significantly outperforms all others, by relaxing the Markov assumption.

@inproceedings{scheible2016model, abstract = {Quotation detection is the task of locating spans of quoted speech in text. The state of the art treats this problem as a sequence labeling task and employs linear-chain conditional random fields. We question the efficacy of this choice: The Markov assumption in the model prohibits it from making joint decisions about the begin, end, and internal context of a quotation. We perform an extensive analysis with two new model architectures. We find that (a), simple boundary classification combined with a greedy prediction strategy is competitive with the state of the art; (b), a semi-Markov model significantly outperforms all others, by relaxing the Markov assumption.}, added-at = {2020-10-20T11:22:35.000+0200}, address = {Berlin, Germany}, author = {Scheible, Christian and Klinger, Roman and Padó, Sebastian}, biburl = {https://www.bibsonomy.org/bibtex/216e86e0db4ede7b6a1a29e24aee776e5/jaeschke}, booktitle = {Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)}, description = {Model Architectures for Quotation Detection - ACL Anthology}, doi = {10.18653/v1/P16-1164}, interhash = {c77dfb02001fe26838c9936221ace71a}, intrahash = {16e86e0db4ede7b6a1a29e24aee776e5}, keywords = {citation detection extraction language natural nlp processing quotation quote}, month = aug, pages = {1736--1745}, publisher = {Association for Computational Linguistics}, timestamp = {2020-10-20T11:22:35.000+0200}, title = {Model Architectures for Quotation Detection}, url = {https://www.aclweb.org/anthology/P16-1164}, year = 2016 }