Naomi Zeichner
Department of Computer Science, Bar Ilan University

Naomi Zeichner Contact Information

Department of Computer Science
Bar Ilan University,
Ramat Gan, 52900, Israel
 
Phone: +972-3-5318054
Email:  zeichner . naomi @ gmail.com
How to pronounce my name
 


I have just completed the requirements for a Masters degree in Computer Science, under the supervision of Prof. Ido Dagan and Dr. Meni Adler in the NLP Lab at the Department of Computer Science, Bar-Ilan University.
My research field is Natural Language Processing. My main research interest is Textual Entailment and my focus is on utilizing human judgement in order to evaluate and improve entailment rule-base quality.

Thesis title: Evaluating and Improving Inference-rules via Crowdsourcing.PDF PDF PDF

Abstract: The potential contribution of inference rules to many semantic applications has motivated many works for their automatic acquisition. Unfortunately, the utilization of inference rule resources is currently somewhat limited, partly due to the considerable number of rules which are in fact invalid. In my thesis I propose a replicable and reliable framework for evaluating inference-rules using crowdsourcing. I then demonstrate how, using this framework, existing inference-rule resources can be evaluated and improved by computing an estimate of the accuracy of their rules. Part of this work was presented as a talk at ACL 2012 (the main NLP international conference).





Publications

  1. Naomi Zeichner, Jonathan Berant and Ido Dagan. Crowdsourcing Inference-Rule Evaluation. ACL 2012.PDF PDF PDF

  2. Asher Stern, Eyal Shnarch, Amnon Lotan, Shachar Mirkin, Lili Kotlerman, Naomi Zeichner, Jonathan Berant and Ido Dagan. Rule Chaining and Approximate Match in Textual Inference. Text Analysis Conference 2010 (RTE-6) PDF



Resources

  1. Crowdsoucing forms used to collect annotations for rule-applications as described in Zeichner et al, 2012.



Miscellaneous

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