Nathanael Chambers

4 paper cards in Mova's library · 2010–2021

Nathanael Chambers wrote 4 of the papers Mova reads, in 2010–2021, most of them on Coreference resolution; often with Dan Jurafsky, Heeyoung Lee, Mihai Surdeanu.

The profile is the library's match of the name; two people with one name are not always told apart.

Papers

TellMeWhy: A Dataset for Answering Why-Questions in Narratives (2021)
TellMeWhy has 30,519 why-questions about the actions of characters in 9,636 five-sentence ROCStories, generated by templates from dependency parses («Why did {subject} {verb} {object}?») and answered by three crowd workers each, who start from a prompt «{subject} {verb} {object} because…», mark the sentences that…
Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules (2013) measured
This journal article is the full description of the Stanford multi-pass sieve coreference system, which won the CoNLL-2011 shared task.
Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task (2011)
The system is a sequence of deterministic sieves, ordered from highest to lowest precision. Each sieve links clusters, not single mentions, and the clusters share attributes such as gender, number and animacy. The authors add a high-recall mention-detection sieve in front. Its exclusion rules remove pleonastic "it"…
A Multi-Pass Sieve for Coreference Resolution (2010) measured
The paper proposes an unsupervised, deterministic coreference system built as a sequence of "sieves": independent rule-based passes applied from the most precise to the least precise.