Christopher Manning

5 paper cards in Mova's library · 2002–2023

Christopher Manning wrote 5 of the papers Mova reads, in 2002–2023, most of them on Coreference resolution, Dependency parsing, Universal Dependencies; often with Dan Flickinger, Dan Jurafsky, Danqi Chen.

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

Papers

PragmatiCQA: A Dataset for Pragmatic Question Answering in Conversations (2023)
The dataset has 6,873 question-answer pairs in teacher-student conversations about Fandom wiki topics. For each student question the teacher marks literal answer spans, pragmatic spans that answer the follow-up the student is likely to ask, and a paraphrased final answer. Crowdworkers choose topics of mutual interest…
Does Universal Dependencies need a parsing representation? An investigation of English (2015)
UD makes content words the heads and attaches function words (auxiliaries, copulas, subordinators, adpositions) to them.
A Fast and Accurate Dependency Parser using Neural Networks (2014)
Almost all parsers of the time used millions of sparse indicator features built from hand-made templates, which generalise poorly and make feature extraction the main cost.
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.
The LinGO Redwoods Treebank: Motivation and Preliminary Applications (2002)
The paper proposes a treebank that stores full HPSG analyses from a broad-coverage grammar (the LinGO English Resource Grammar) instead of one fixed tree format, so that users can extract the representation they need.