Martin Wechsler

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4ranked-venue papers

3as first author

0since 2021 · last 2000

—ORCID · none

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

Databases, data management, data science and information retrieval · 4 · 3 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.

Databases, data mining, and information retrieval

2 papers

Information retrieval · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

Topic	Papers	Last	Evidence papers
Information retrieval › document retrieval spoken document retrieval	1	1998	New Techniques for Open-Vocabulary Spoken Document Retrieval · SIGIR 1998
Information retrieval › relevance feedback pseudo-relevance feedback	1	1997	Cross Language Speech Retrieval: Establishing a Baseline Performance · SIGIR 1997
Information retrieval › query reformulation query expansion	1	1997	Cross Language Speech Retrieval: Establishing a Baseline Performance · SIGIR 1997
Information retrieval relevance feedback	1	1997	Cross Language Speech Retrieval: Establishing a Baseline Performance · SIGIR 1997
Information retrieval retrieval models	1	1998	New Techniques for Open-Vocabulary Spoken Document Retrieval · SIGIR 1998

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

speech recognition · 0.0indexing · 0.0probabilistic matching · 0.0comparable corpus alignment · 0.0

Year	Publication	Venue	Position
2000	New Approaches to Spoken Document Retrieval Martin Wechsler, Eugen Munteanu, Peter Schäuble	Inf. Retr.	1
2000	The Probability Ranking Principle Revisited Martin Wechsler, Peter Schäuble	Inf. Retr.	1
1998	New Techniques for Open-Vocabulary Spoken Document Retrieval abstract Article Free Access Share on New techniques for open-vocabulary spoken document retrieval Authors: Martin Wechsler Swiss Federal Institute of Technology (ETH), Zürich Swiss Federal Institute of Technology (ETH), ZürichView Profile , Eugen Munteanu Swiss Federal Institute of Technology (ETH), Zürich Swiss Federal Institute of Technology (ETH), ZürichView Profile , Peter Schäuble Swiss Federal Institute of Technology (ETH), Zürich Swiss Federal Institute of Technology (ETH), ZürichView Profile Authors Info & Claims SIGIR '98: Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrievalAugust 1998Pages 20–27https://doi.org/10.1145/290941.290950Published:01 August 1998Publication History 25citation640DownloadsMetricsTotal Citations25Total Downloads640Last 12 Months37Last 6 weeks3 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Publisher SiteeReaderPDF Martin Wechsler, Eugen Munteanu, Peter Schäuble	SIGIR	1
1997	Cross Language Speech Retrieval: Establishing a Baseline Performance abstract We present here the realisation of cross-language speech retrieval system which retrieves German speech documents in response to user queries specified as French text. This has been achieved through the integration of two existing modules of the SPIDER information retrieval system, namely the query pseudo-translation module and the speech retrieval module. In the process of integrating these modules for cross-language speech retrieval, we have also made improvements to each in turn. We have progressed our research on aligning comparable corpora, an important resource for training the similarity thesauri used in our query pseudo-translation module, and we have now encorporated an automatic refinement loop into our speech retrieval module, using a probabilistic matching approach that has been proven effective in retrieving error-prone documents. We have also introduced the use of automatic relevance feedback for query expansion and tested this both as a refinement to automatically pseudo... Paraic Sheridan, Martin Wechsler, Peter Schäuble	SIGIR	2