Papers
16,749 papers found
Text Categorization by Learning Predominant Sense of Words as Auxiliary Task
Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto
The AFRL WMT19 Systems: Old Favorites and New Tricks
Jeremy Gwinnup, Grant Erdmann, Tim Anderson
The AIP-Tohoku System at the BEA-2019 Shared Task
Hiroki Asano, Masato Mita, Tomoya Mizumoto et al.
The BEA-2019 Shared Task on Grammatical Error Correction
Christopher Bryant, Mariano Felice, Øistein E. Andersen et al.
The BLCU System in the BEA 2019 Shared Task
Liner Yang, Chencheng Wang
The CUED’s Grammatical Error Correction Systems for BEA-2019
Felix Stahlberg, Bill Byrne
The Effectiveness of Simple Hybrid Systems for Hypernym Discovery
William Held, Nizar Habash
The Effect of Translationese in Machine Translation Test Sets
Mike Zhang, Antonio Toral
The IIIT-H Gujarati-English Machine Translation System for WMT19
Vikrant Goyal, Dipti Misra Sharma
The Impact of Word Representations on Sequential Neural MWE Identification
Nicolas Zampieri, Carlos Ramisch, Geraldine Damnati
The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
Ali Emami, Paul Trichelair, Adam Trischler et al.
The LAIX Systems in the BEA-2019 GEC Shared Task
Ruobing Li, Chuan Wang, Yefei Zha et al.
The Language of Legal and Illegal Activity on the Darknet
Leshem Choshen, Dan Eldad, Daniel Hershcovich et al.
The LMU Munich Unsupervised Machine Translation System for WMT19
Dario Stojanovski, Viktor Hangya, Matthias Huck et al.
The MADAR Shared Task on Arabic Fine-Grained Dialect Identification
Houda Bouamor, Sabit Hassan, Nizar Habash
The making of the Litkey Corpus, a richly annotated longitudinal corpus of German texts written by primary school children
Ronja Laarmann-Quante, Stefanie Dipper, Eva Belke
The many dimensions of algorithmic fairness in educational applications
Anastassia Loukina, Nitin Madnani, Klaus Zechner
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures
Sheshera Mysore, Zachary Jensen, Edward Kim et al.
The Meaning of “Most” for Visual Question Answering Models
Alexander Kuhnle, Ann Copestake
The MLLP-UPV Spanish-Portuguese and Portuguese-Spanish Machine Translation Systems for WMT19 Similar Language Translation Task
Pau Baquero-Arnal, Javier Iranzo-Sánchez, Jorge Civera et al.
The MLLP-UPV Supervised Machine Translation Systems for WMT19 News Translation Task
Javier Iranzo-Sánchez, Gonçal V. Garcés Díaz-Munío, Jorge Civera et al.
The MuCoW Test Suite at WMT 2019: Automatically Harvested Multilingual Contrastive Word Sense Disambiguation Test Sets for Machine Translation
Alessandro Raganato, Yves Scherrer, Jörg Tiedemann
The NiuTrans Machine Translation Systems for WMT19
Bei Li, Yinqiao Li, Chen Xu et al.