activity
20142021
most citedOvercoming Language Variation in Sentiment Analysis with Social Attention

15 citations · 46 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2021

CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes

James Mullenbach, Yada Pruksachatkun, Sean Adler +6

Continuity of care is crucial to ensuring positive health outcomes for patients discharged from an inpatient hospital setting, and improved information sharing can help. To share i…

cs.CL2020★ 14 cited

Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning

Yi Yang, Arzoo Katiyar

We present a simple few-shot named entity recognition (NER) system based on nearest neighbor learning and structured inference. Our system uses a supervised NER model trained on th…

cs.AI2018★ 6 cited

Zero-Shot Transfer VQA Dataset

Yuanpeng Li, Yi Yang, Jianyu Wang +1

Acquiring a large vocabulary is an important aspect of human intelligence. Onecommon approach for human to populating vocabulary is to learn words duringreading or listening, and t…

cs.CL2016★ 4 cited

Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities

Yi Yang, Ming-Wei Chang, Jacob Eisenstein

Entity linking is the task of identifying mentions of entities in text, and linking them to entries in a knowledge base. This task is especially difficult in microblogs, as there i…

cs.CL2016★ 4 cited

Part-of-Speech Tagging for Historical English

Yi Yang, Jacob Eisenstein

As more historical texts are digitized, there is interest in applying natural language processing tools to these archives. However, the performance of these tools is often unsatisf…

cs.CL2015★ 15 cited

Overcoming Language Variation in Sentiment Analysis with Social Attention

Yi Yang, Jacob Eisenstein

Variation in language is ubiquitous, particularly in newer forms of writing such as social media. Fortunately, variation is not random, it is often linked to social properties of t…