Richard Wicentowski

Publication List Details

Period

2001 - 2009

Number

17

Co-Authors

SWAT-MP: The SemEval-2007 Systems for Task (2009)

Phil Katz, Matthew Singleton, Richard Wicentowski

In this paper, we describe our two SemEval-2007 entries. Our first entry, for Task 5: Multilingual Chinese-English Lexical Sample Task, is a supervised system that decides the most appropriate...

SW-AG: Local Context Matching for English Lexical Substitution (2009)

George Dahl, Anne-marie Frassica, Richard Wicentowski

We present two systems that pick the ten most appropriate substitutes for a marked word in a test sentence. The first system scores candidates based on how frequently their local contexts match that...

Identifying Smoking Status From Implicit Information in Medical Discharge Summaries (2008)

Richard Wicentowski, Matthew R. Sydes

Human annotators and natural language applications are able to identify smoking status from discharge summaries with high accuracy when explicit evidence regarding their smoking status is present in...

2002. Modeling and Learning Multilingual Inflectional Morphology in a Minimally Supervised Framework (2008)

Richard Wicentowski

Computational morphology is an important component of most natural lan-guage processing tasks including machine translation, information retrieval, word-sense disambiguation, parsing, and text...

I Task Definition (2007)

David Yarowsky, Richard Wicentowski

Email:{yarowsky, rchardw}cs. jhu. edu This paper presents a corpus-based algorithm capable of inducing infiectional morphological analyses of both regulax and highly irregular forms (such as...

ABSTRACT Inducing Multilingual Text Analysis Tools via Robust Projection across Aligned Corpora (2007)

David Yarowsky, Grace Ngai, Richard Wicentowski

This paper describes a system and set of algorithms for automatically inducing stand-alone monolingual part-of-speech taggers, base noun-phrase bracketers, named-entity taggers and morphological...

Inducing Multilingual Text Analysis Tools via Robust Projection across Aligned Corpora (2007)

Yarowsky, David, Ngai, Grace, Wicentowski, Richard

This paper describe system and set of automatically inducing stand-alone monolingual part-of-speech taggers, base noun-phrase bracketers, named-entity taggers and morphological analyzers for an...

Using image processing projects to teach cs1 topics (2005)

Richard Wicentowski, Tia Newhall

As Computer Science educators, we know that students learn more from projects that are fun and challenging, that seem “real ” to them, and that allow them to be creative in designing their...

The Swarthmore College SENSEVAL-3 System (2004)

Richard Wicentowski, Emily Thomforde, Adrian Packel

This paper presents the Swarthmore College wordsense disambiguation system which was designed for the 2004 SENSEVAL3 competition. Our system participated in five tasks: the lexical sample tasks in...

Joining forces to resolve lexical ambiguity: East meets West in Barcelona (2004)

Richard Wicentowski, Grace Ngai, Dekai Wu

This paper describes the component models and combination model built as a joint effort between Swarthmore College, Hong Kong PolyU, and HKUST. Though other models described elsewhere contributed to...

Joining forces to resolve lexical ambiguity: East meets West in Barcelona (2004)

Richard Wicentowski, Grace Ngai, Dekai Wu

This paper describes the component models and combination model built as a joint effort between Swarthmore College, Hong Kong PolyU, and HKUST. Though other models described elsewhere contributed to...

2002. Unsupervised italian word sense disambiguation using wordnets and unlabeled corpora (2002)

Unlabeled Corpora, Radu Florian, Richard Wicentowski

This paper presents a novel method for unsupervised word sense disambiguation, which combines multiple information sources, including semantic relations, large unlabeled corpora, and cross-lingual...

The Johns Hopkins SENSEVAL2 system descriptions (2001)

David Yarowsky, Silviu Cucerzan, Radu Florian, Charles Schafer, Richard Wicentowski

This article describes the Johns Hopkins University (JHU) sense-disambiguation systems that participated in seven SENSEVAL2 tasks: four supervised lexical choice systems (Basque, English, Spanish,...

Using Implicit Information to Identify Smoking Status in Smoke-blind Medical Discharge Summaries

Wicentowski, Richard, Sydes, Matthew R.

As part of the 2006 i2b2 NLP Shared Task, we explored two methods for determining the smoking status of patients from their hospital discharge summaries when explicit smoking terms were present and...