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Shallow features as indicators of English–German contrasts in lexical cohesion

Kerstin Kunz, Ekaterina Lapshinova-Koltunski, José Manuel Martínez Martínez, Katrin Menzel, Erich Steiner
2017 Languages in Contrast: International Journal for Contrastive Linguistics  
Descriptive analyses of the corpus are then presented and statistically validated with the help of univariate and multivariate analyses.  ...  After an overview of research aims and motivations we formulate hypotheses on distributions of shallow features as indicators of lexical cohesion across languages and modes and with respect to register  ...  This distinction is out of the scope of the syntactic phase as it is a target of the overall process of frame annotation.  ... 
doi:10.1075/lic.16005.kun fatcat:p7pa2crm6rgkrfmsdf7m5265ea

Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations [article]

Qian Li, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang
2021 arXiv   pre-print
Experimental results show that our approach consistently outperforms seven state-of-the-art event extraction methods for the classification of events and argument role and argument identification.  ...  Our approach leverages knowledge of the already extracted arguments of the same sentence to determine the role of arguments that would be difficult to decide individually.  ...  LAW-ID@ACL 2013, August 8-9, 2013, Sofia, Bulgaria, pp. 178–186, IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING, VOL. 21, NO. 12, MAY 2021  ... 
arXiv:2106.12384v2 fatcat:blyylym77vdupbrolil2dtmrna

Theoretical and Practical Issues in the Semantic Annotation of Four Indigenous Languages

Jens E. L. Van Gysel, Meagan Vigus, Lukas Denk, Andrew Cowell, Rosa Vallejos, Tim O'Gorman, William Croft
2021 Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop   unpublished
In Proceedings of the 7th Linguis- tic Annotation Workshop and Interoperability with Hans Kamp and Uwe Reyle. 2013. From discourse to Discourse, pages 178–186, Sofia, Bulgaria.  ...  Secondly, it assesses whether 12 Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations  ... 
doi:10.18653/v1/2021.law-1.2 fatcat:k5zsmrpu7rbdldjc2qleaxuhmi

No Language Left Behind: Scaling Human-Centered Machine Translation [article]

NLLB team, Marta R. Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, Anna Sun (+27 others)
2022 arXiv   pre-print
Critically, we evaluated the performance of over 40,000 different translation directions using a human-translated benchmark, Flores-200, and combined human evaluation with a novel toxicity benchmark covering  ...  Then, we created datasets and models aimed at narrowing the performance gap between low and high-resource languages.  ...  Finally, we thank all of the translators, reviewers, human evaluators, linguists, as well as the translation and quality assurance agencies we partnered with, for helping create Flores-200, NLLB-Seed,  ... 
arXiv:2207.04672v1 fatcat:qa3wmryp4ndo5bpiuwq22zeoqa

InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection

Yi Fung, Christopher Thomas, Revanth Gangi Reddy, Sandeep Polisetty, Heng Ji, Shih-Fu Chang, Kathleen McKeown, Mohit Bansal, Avi Sil
2021 Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)   unpublished
Our detection approach outperforms the state-of-the-art (up to 16.8% absolute accuracy gain), and more critically, yields fine-grained explanations.  ...  Due to training data scarcity, we also formulate a novel data synthesis method by manipulating knowledge elements within the knowledge graph to generate noisy training data with specific, hard to detect  ...  The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of DARPA, or the U.S.  ... 
doi:10.18653/v1/2021.acl-long.133 fatcat:rlmagtpmtffjnmrjqmveao7qmy