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20172025
most citedSelective Annotation Makes Language Models Better Few-Shot Learners

64 citations · 273 across the 26 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.CL2019★ 13 cited

Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations

Jeff Da, Jungo Kasai

Pretrained deep contextual representations have advanced the state-of-the-art on various commonsense NLP tasks, but we lack a concrete understanding of the capability of these mode…

cs.CL2019

Low-Resource Parsing with Crosslingual Contextualized Representations

Phoebe Mulcaire, Jungo Kasai, Noah A. Smith

Despite advances in dependency parsing, languages with small treebanks still present challenges. We assess recent approaches to multilingual contextual word representations (CWRs),…

cs.CL2019

ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks

Michihiro Yasunaga, Jungo Kasai, Rui Zhang +4

Scientific article summarization is challenging: large, annotated corpora are not available, and the summary should ideally include the article's impacts on research community. Thi…

cs.DB2019★ 17 cited

Low-resource Deep Entity Resolution with Transfer and Active Learning

Jungo Kasai, Kun Qian, Sairam Gurajada +2

Entity resolution (ER) is the task of identifying different representations of the same real-world entities across databases. It is a key step for knowledge base creation and text…

cs.CL2019★ 4 cited

Syntax-aware Neural Semantic Role Labeling with Supertags

Jungo Kasai, Dan Friedman, Robert Frank +2

We introduce a new syntax-aware model for dependency-based semantic role labeling that outperforms syntax-agnostic models for English and Spanish. We use a BiLSTM to tag the text w…

cs.CL2019

Polyglot Contextual Representations Improve Crosslingual Transfer

Phoebe Mulcaire, Jungo Kasai, Noah A. Smith

We introduce Rosita, a method to produce multilingual contextual word representations by training a single language model on text from multiple languages. Our method combines the a…