Katharina Probst

Publications
Influence

Text mining for product attribute extraction

R. Ghani, Katharina Probst, Yan Liu, Marko Krema, Andrew E. Fano
Computer Science
SKDD
1 June 2006

We describe our work on extracting attribute and value pairs from textual product descriptions. Expand

MT for Minority Languages Using Elicitation-Based Learning of Syntactic Transfer Rules

Katharina Probst, Lori S. Levin, Erik Peterson, A. Lavie, J. Carbonell
Computer Science
Machine Translation
31 December 2002

This paper describes the run-time transfer-based machine translation system as well as two of the pre-run-time modules: elicitation of data from the minority language and automated learning of transfer rules. Expand

Semi-Supervised Learning of Attribute-Value Pairs from Product Descriptions

Katharina Probst, R. Ghani, Marko Krema, Andrew E. Fano, Yan Liu
Computer Science
IJCAI
6 January 2007

We describe an approach to extract attribute-value pairs from product descriptions that requires very little user supervision and show experimental results on a web catalog of sporting goods. Expand

Enhancing foreign language tutors - In search of the golden speaker

Katharina Probst, Yan Ke, M. Eskénazi
Computer Science
Speech Commun.
1 July 2002

We use the Fluency system [Proceedings of Speech Technology in Language and Learning, 1998, p. 77] to answer the question of what voice a language learner should imitate when working on pronunciation. Expand

Automatic Rule Learning for Resource-Limited MT

J. Carbonell, Katharina Probst, +4 authors Lori S. Levin
Computer Science
AMTA
6 October 2002

This paper focuses on a machine learning approach to transfer-based MT, where data in the form of translations and lexical alignments are elicited from bilingual speakers and a seeded version-space learning algorithm formulates and refines transfer rules. Expand

Rapid Prototyping of a Transfer-based Hebrew-to-English Machine Translation System

A. Lavie, Erik Peterson, Katharina Probst, S. Wintner, Y. Eytani
Computer Science
2004

We describe the rapid development of a preliminary Hebrew-to-English Machine Translation system under a transfer-based framework specifically designed for rapid MT prototyping for languages with limited linguistic resources. Expand

Extracting and Using Attribute-Value Pairs from Product Descriptions on the Web

Katharina Probst, R. Ghani, Marko Krema, Andy Fano, Yan Liu
Computer Science
WebMine
1 July 2007

We describe an approach to extract attribute-value pairs from product descriptions in order to augment product databases by representing each product as a set of attribute- value pairs. Expand

Design and Implementation of Controlled Elicitation for Machine Translation of Low-density Languages

Katharina Probst, R. Brown, J. Carbonell, A. Lavie, Lori S. Levin, Erik Peterson
Computer Science
2001

NICE is a machine translation project for low-density languages. We are building a tool that will elicit a controlled corpus from a bilingual speaker who is not an expert in linguistics. The corpus… Expand

A trainable transfer-based MT approach for languages with limited resources

A. Lavie, Katharina Probst, +4 authors J. Carbonell
Computer Science
EAMT
2004

We describe the general principles underlying our approach, and present results from an experiment, where we developed a basic Hindi-to-English MT system over the course of two months, using extremely limited resources. Expand

Maximizing Privacy under Data Distortion Constraints in Noise Perturbation Methods

Y. Rachlin, Katharina Probst, R. Ghani
Mathematics, Computer Science
PinKDD
13 May 2009

This paper introduces the `guessing anonymity,' a definition of privacy for noise perturbation methods that captures the difficulty of linking identity to a sanitized record using publicly available information. Expand

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