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Michael Niv

dblp:64/1626 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1994
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 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
2 papers
Information extraction and text analysis · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis
syntactic parsing
0.021994
A Psycholinguistically Motivated Parser for CCG · ACL 1994
Right Association Revisited · ACL 1992
Natural language and speech › Information extraction and text analysis › syntactic parsing › grammar-based parsing
combinatory categorial grammar parsing
0.011994
A Psycholinguistically Motivated Parser for CCG · ACL 1994
Natural language and speech › Information extraction and text analysis › syntactic parsing
incremental parsing
0.011994
A Psycholinguistically Motivated Parser for CCG · ACL 1994

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

rewrite systems · 0.0corpus analysis · 0.0
YearPublicationVenuePosition
1994 A Psycholinguistically Motivated Parser for CCG
abstract
Considering the speed in which humans resolve syntactic ambiguity, and the overwhelming evidence that syntactic ambiguity is resolved through selection of the analysis whose interpretation is the most 'sensible', one comes to the conclusion that interpretation, hence parsing take place incrementally, just about every word. Considerations of parsimony in the theory of the syntactic processor lead one to explore the simplest of parsers: one which represents only analyses as defined by the grammar and no other information.Toward this aim of a simple, incremental parser I explore the proposal that the competence grammar is a Combinatory Categorial Grammar (CCG). I address the problem of the proliferating analyses that stem from CCG's associativity of derivation. My solution involves maintaining only the maximally incremental analysis and, when necessary, computing the maximally right-branching analysis. I use results from the study of rewrite systems to show that this computation is efficient.
Michael Niv
ACL1
1992 Right Association Revisited
abstract
Consideration of when Right Association works and when it fails lead to a restatement of this parsing principle in terms of the notion of heaviness. A computational investigation of a syntactically annotated corpus provides evidence for this proposal and suggest circumstances when RA is likely to make correct attachment predictions.
Michael Niv
ACL1