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Timothy O'Keefe

dblp:81/6750 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-authorComputer networks · 1

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

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › relation extraction
quotation attribution
0.212013
Automatically Detecting and Attributing Indirect Quotations · EMNLP 2013
Natural language and speech › Information extraction and text analysis
sequence labeling
0.112012
A Sequence Labelling Approach to Quote Attribution · EMNLP-CoNLL 2012

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

sequence labeling · 0.2
YearPublicationVenuePosition
2013 Automatically Detecting and Attributing Indirect Quotations
abstract
Direct quotations are used for opinion mining and information extraction as they have an easy to extract span and they can be attributed to a speaker with high accuracy.However, simply focusing on direct quotations ignores around half of all reported speech, which is in the form of indirect or mixed speech.This work presents the first large-scale experiments in indirect and mixed quotation extraction and attribution.We propose two methods of extracting all quote types from news articles and evaluate them on two large annotated corpora, one of which is a contribution of this work.We further show that direct quotation attribution methods can be successfully applied to indirect and mixed quotation attribution.* *These authors contributed equally to this work.by quotation marks, which makes them easy to extract.However, annotated resources suggest that direct quotations represent only a limited portion of all quotations, i.e., around 30% in the Penn Attribution Relation Corpus (PARC), which covers Wall Street Journal articles, and 52% in the Sydney Morning Herald Corpus (SMHC), with the remainder being indirect (Ex.1c) or mixed (Ex.1b)quotations.Retrieving only direct quotations can miss key content that can change the interpretation of the quotation (Ex.1b) and will entirely miss indirect quotations.
Silvia Pareti, Timothy O'Keefe, Ioannis Konstas, James R. Curran, Irena Koprinska
EMNLP2
2012 A Sequence Labelling Approach to Quote Attribution
Timothy O'Keefe, Silvia Pareti, James R. Curran, Irena Koprinska, Matthew Honnibal
EMNLP-CoNLL1
2011 RFID-Enabled Logistic Flow Tracing in Supply Chains: Communication, Protocol, and Security
abstract
Radio Frequency Identification (RFID) is an important ubiquitous computing technique used for automatic item identification and data capture. It has been widely deployed in various areas to automate previously labor-intensive inventory control and item identification. In this paper, we develop a framework to apply RFID in securely tracing of materials flows in supply chains. Timely and accurate material flow control is critical to supply chain visibility and improvement of the organizations' competitive advantage. We develop a secure tag-reader authentication protocol to ensure the authenticity of RFID tags and readers. Our approach requires constant time in the best case in RFID database key search in order to identify a legitimate tag, which makes real-time item identification possible and also increases RFID system scalability.
Timothy O'Keefe
GLOBECOM2