research-paper-writing

1% Use this file for citations not found in the ACL Anthology (contained in "anthology.bib").2 3@book{Aho:72,4    author  = {Alfred V. Aho and Jeffrey D. Ullman},5    title   = {The Theory of Parsing, Translation and Compiling},6    year    = "1972",7    volume  = "1",8    publisher = {Prentice-Hall},9    address = {Englewood Cliffs, NJ}10}11 12@book{APA:83,13    author  = {{American Psychological Association}},14    title   = {Publications Manual},15    year    = "1983",16    publisher = {American Psychological Association},17    address = {Washington, DC}18}19 20@article{Chandra:81,21	author = {Ashok K. Chandra and Dexter C. Kozen and Larry J. Stockmeyer},22	year = "1981",23	title = {Alternation},24	journal = {Journal of the Association for Computing Machinery},25	volume = "28",26	number = "1",27	pages = "114--133",28	doi = "10.1145/322234.322243",29}30 31@inproceedings{andrew2007scalable,32  title={Scalable training of {L1}-regularized log-linear models},33  author={Andrew, Galen and Gao, Jianfeng},34  booktitle={Proceedings of the 24th International Conference on Machine Learning},35  pages={33--40},36  year={2007},37}38 39@book{Gusfield:97,40    author  = {Dan Gusfield},41    title   = {Algorithms on Strings, Trees and Sequences},42    year    = "1997",43    publisher = {Cambridge University Press},44    address = {Cambridge, UK}45}46 47@article{rasooli-tetrault-2015,48    author    = {Mohammad Sadegh Rasooli and Joel R. Tetreault},49    title     = {Yara Parser: {A} Fast and Accurate Dependency Parser},50    journal   = {Computing Research Repository},51    volume    = {arXiv:1503.06733},52    year      = {2015},53    url       = {http://arxiv.org/abs/1503.06733},54    note    = {version 2}55}56 57@article{Ando2005,58	Acmid = {1194905},59	Author = {Ando, Rie Kubota and Zhang, Tong},60	Issn = {1532-4435},61	Issue_Date = {12/1/2005},62	Journal = {Journal of Machine Learning Research},63	Month = dec,64	Numpages = {37},65	Pages = {1817--1853},66	Publisher = {JMLR.org},67	Title = {A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data},68	Volume = {6},69	Year = {2005}70}71