activity
20162021
most citedSQuAD: 100,000+ Questions for Machine Comprehension of Text

806 citations · 1k across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2021★ 1 cited

Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge

Yong Dai, Jian Liu, Jian Zhang +2

Sentiment analysis (SA) is an important research area in cognitive computation-thus in-depth studies of patterns of sentiment analysis are necessary. At present, rich resource data…

cs.CL2020

Contextual Embeddings: When Are They Worth It?

Simran Arora, Avner May, Jian Zhang +1

We study the settings for which deep contextual embeddings (e.g., BERT) give large improvements in performance relative to classic pretrained embeddings (e.g., GloVe), and an even…

cs.CL2020★ 6 cited

Understanding the Downstream Instability of Word Embeddings

Megan Leszczynski, Avner May, Jian Zhang +3

Many industrial machine learning (ML) systems require frequent retraining to keep up-to-date with constantly changing data. This retraining exacerbates a large challenge facing ML…

cs.CL2017★ 226 cited

Natural Language Inference over Interaction Space

Yichen Gong, Heng Luo, Jian Zhang

Natural Language Inference (NLI) task requires an agent to determine the logical relationship between a natural language premise and a natural language hypothesis. We introduce Int…

cs.CL2016★ 806 cited

SQuAD: 100,000+ Questions for Machine Comprehension of Text

Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev +1

We present the Stanford Question Answering Dataset (SQuAD), a new reading comprehension dataset consisting of 100,000+ questions posed by crowdworkers on a set of Wikipedia article…