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Woodley Packard

dblp:116/0550 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Information extraction and text analysis · 100%
Theoretical computer science
1 paper
Logic in computer science · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › semantic analysis
negation scope detection
0.212014
Simple Negation Scope Resolution through Deep Parsing: A Semantic Solution to a Semantic Problem · ACL (1) 2014
Logic in computer science › semantics
underspecified semantics
0.112014
Simple Negation Scope Resolution through Deep Parsing: A Semantic Solution to a Semantic Problem · ACL (1) 2014

Methods — techniques the papers use, named apart from their topics

semantic representation · 0.4deep parsing · 0.4
YearPublicationVenuePosition
2014 Simple Negation Scope Resolution through Deep Parsing: A Semantic Solution to a Semantic Problem
abstract
In this work, we revisit Shared Task 1 from the 2012 *SEM Conference: the au-tomated analysis of negation. Unlike the vast majority of participating systems in 2012, our approach works over explicit and formal representations of proposi-tional semantics, i.e. derives the notion of negation scope assumed in this task from the structure of logical-form meaning rep-resentations. We relate the task-specific interpretation of (negation) scope to the concept of (quantifier and operator) scope in mainstream underspecified semantics. With reference to an explicit encoding of semantic predicate-argument structure, we can operationalize the annotation deci-sions made for the 2012 *SEM task, and demonstrate how a comparatively simple system for negation scope resolution can be built from an off-the-shelf deep parsing system. In a system combination setting, our approach improves over the best pub-lished results on this task to date. 1
Woodley Packard, Emily M. Bender, Jonathon Read, Stephan Oepen, Rebecca Dridan
ACL (1)1
2012 Towards Efficient HPSG Generation for German, a Non-Configurational Language
Berthold Crysmann, Woodley Packard
COLING2
2012 Choosing an Evaluation Metric for Parser Design
Woodley Packard
HLT-NAACL1