activity
19942017
most citedSequential Model Selection for Word Sense Disambiguation

25 citations · 58 across the 10 of their papers we have counts for

collaborators

10 papers

cs.HC2017★ 6 cited

An Interactive Tool for Natural Language Processing on Clinical Text

Gaurav Trivedi, Phuong Pham, Wendy Chapman +3

Natural Language Processing (NLP) systems often make use of machine learning techniques that are unfamiliar to end-users who are interested in analyzing clinical records. Although…

cs.CL2014★ 16 cited

An Account of Opinion Implicatures

Janyce Wiebe, Lingjia Deng

While previous sentiment analysis research has concentrated on the interpretation of explicitly stated opinions and attitudes, this work initiates the computational study of a type…

cs.CL1999

An Empirical Approach to Temporal Reference Resolution (journal version)

Janyce Wiebe, Thomas P. O'Hara, Thorsten Ohrstrom-Sandgren +1

Scheduling dialogs, during which people negotiate the times of appointments, are common in everyday life. This paper reports the results of an in-depth empirical investigation of r…

cmp-lg1997★ 7 cited

Probabilistic Event Categorization

Janyce Wiebe, Rebecca Bruce, Lei Duan

This paper describes the automation of a new text categorization task. The categories assigned in this task are more syntactically, semantically, and contextually complex than thos…

cmp-lg1997★ 2 cited

An Empirical Approach to Temporal Reference Resolution

Janyce Wiebe, Tom O'Hara, Kenneth McKeever +1

This paper presents the results of an empirical investigation of temporal reference resolution in scheduling dialogs. The algorithm adopted is primarily a linear-recency based appr…

cmp-lg1997

Instructions for Temporal Annotation of Scheduling Dialogs

Tom O'Hara, Janyce Wiebe, Karen Payne

Human annotation of natural language facilitates standardized evaluation of natural language processing systems and supports automated feature extraction. This document consists of…

cmp-lg1997★ 25 cited

Sequential Model Selection for Word Sense Disambiguation

Ted Pedersen, Rebecca Bruce, Janyce Wiebe

Statistical models of word-sense disambiguation are often based on a small number of contextual features or on a model that is assumed to characterize the interactions among a set…

cmp-lg1996

The Measure of a Model

Rebecca Bruce, Janyce Wiebe, Ted Pedersen

This paper describes measures for evaluating the three determinants of how well a probabilistic classifier performs on a given test set. These determinants are the appropriateness,…

cmp-lg1994★ 2 cited

Tracking Point of View in Narrative

Janyce M. Wiebe

Third-person fictional narrative text is composed not only of passages that objectively narrate events, but also of passages that present characters' thoughts, perceptions, and inn…

cmp-lg1994

Word-Sense Disambiguation Using Decomposable Models

Rebecca Bruce, Janyce Wiebe

Most probabilistic classifiers used for word-sense disambiguation have either been based on only one contextual feature or have used a model that is simply assumed to characterize…