activity
20162021
most citedPosition Based Compressed Channel Estimation and Pilot Design for High Mobility OFDM Systems

50 citations · 226 across the 23 of their papers we have counts for

collaborators

42 papers

cs.CL20213 cited

AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding

Jun Yan, Nasser Zalmout, Yan Liang +3

Automatic extraction of product attribute values is an important enabling technology in e-Commerce platforms. This task is usually modeled using sequence labeling architectures, wi…

cs.CL20211 cited

X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering

Meryem M'hamdi, Doo Soon Kim, Franck Dernoncourt +3

Multilingual models, such as M-BERT and XLM-R, have gained increasing popularity, due to their zero-shot cross-lingual transfer learning capabilities. However, their generalization…

cs.CL2021

On the Influence of Masking Policies in Intermediate Pre-training

Qinyuan Ye, Belinda Z. Li, Sinong Wang +5

Current NLP models are predominantly trained through a two-stage "pre-train then fine-tune" pipeline. Prior work has shown that inserting an intermediate pre-training stage, using…

cs.CL2021

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP

Qinyuan Ye, Bill Yuchen Lin, Xiang Ren

Humans can learn a new language task efficiently with only few examples, by leveraging their knowledge obtained when learning prior tasks. In this paper, we explore whether and how…

cs.CL2021

Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation

Yuning Mao, Wenchang Ma, Deren Lei +2

Prior studies on text-to-text generation typically assume that the model could figure out what to attend to in the input and what to include in the output via seq2seq learning, wit…

cs.CL2021

Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources

Ninareh Mehrabi, Pei Zhou, Fred Morstatter +3

Warning: this paper contains content that may be offensive or upsetting. Numerous natural language processing models have tried injecting commonsense by using the ConceptNet knowle…