22 citations · 36 across the 6 of their papers we have counts for
7 papers · 1 filter
Cross-document Event Identity via Dense Annotation
Adithya Pratapa, Zhengzhong Liu, Kimihiro Hasegawa +4
In this paper, we study the identity of textual events from different documents. While the complex nature of event identity is previously studied (Hovy et al., 2013), the case of e…
A Data-Centric Framework for Composable NLP Workflows
Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu +15
Empirical natural language processing (NLP) systems in application domains (e.g., healthcare, finance, education) involve interoperation among multiple components, ranging from dat…
GenAug: Data Augmentation for Finetuning Text Generators
Steven Y. Feng, Varun Gangal, Dongyeop Kang +2
In this paper, we investigate data augmentation for text generation, which we call GenAug. Text generation and language modeling are important tasks within natural language process…
Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations
Vinayshekhar Bannihatti Kumar, Ashwin Srinivasan, Aditi Chaudhary +3
This paper presents the submissions by Team Dr.Quad to the ACL-BioNLP 2019 shared task on Textual Inference and Question Entailment in the Medical Domain. Our system is based on th…
The ARIEL-CMU Systems for LoReHLT18
Aditi Chaudhary, Siddharth Dalmia, Junjie Hu +27
This paper describes the ARIEL-CMU submissions to the Low Resource Human Language Technologies (LoReHLT) 2018 evaluations for the tasks Machine Translation (MT), Entity Discovery a…
Automatic Event Salience Identification
Zhengzhong Liu, Chenyan Xiong, Teruko Mitamura +1
Identifying the salience (i.e. importance) of discourse units is an important task in language understanding. While events play important roles in text documents, little research e…