Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification (2019 · 288 citations)
The paper tackles open-domain targeted sentiment analysis: finding the opinion targets in a sentence and assigning each one a sentiment polarity.
Reinforced Mnemonic Reader for Machine Reading Comprehension (2017 · 273 citations)
The paper addresses extractive machine reading comprehension (MRC), where a model must locate the answer span to a question inside a context paragraph.
DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy Inputs (2026)
Large reasoning models solve math word problems well on clean text. When the input contains typos or similar character-level corruption, their accuracy falls, but their confidence stays high. The authors document this mismatch and introduce DisCal, a calibration method built specifically for noisy inputs.

Co-authors here

12 of 13 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 139 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated 2 November 2026