PeMoZa Submission to TAC 2008
نویسندگان
چکیده
In this paper we describe the PeMoZa system participating to the fourth Recognizing of Textual Entailment (RTE) challenge. The major novelties with respect to our systems of the RTE3 challenge is the exploration on combining different data sets, coming from different challenges and from automatically acquired corpora.
منابع مشابه
The University of British Columbia at TAC 2008
In this paper we describe the University of British Columbia’s participation in the Text Analysis Conference 2008. This work represents our first submission to the DUC/TAC series of conferences, and we participated in both the summarization tasks: the main update task as well as the pilot task on summarizing blog opinions. We describe our systems in detail and describe our performance in the co...
متن کاملTAC 2008 CLEAR RTE System Report: Facet-based Entailment
This paper describes the CLEAR team’s submission to the 2008 Text Analysis Conference under the Recognizing Textual Entailment track. The system breaks text fragments down into fine-grained semantic facets and performs entailment recognition on these. We show that, in the relevant subset of the data, we can achieve 90% accuracy in pinpointing the specific facet of a hypothesis that is not entai...
متن کاملThe ICSI Summarization System at TAC 2008
The ICSI multi-document summarization system relies on a general framework that casts summarization as a global optimization problem with an integer linear programming solution. Our primary submission, a simple sentence extractor with an n-gram frequency heuristic, gives results at least as good as any reported on the non-update part of the main task. Our secondary submission adds compressed se...
متن کاملUpdate Summary Update
We submitted runs from two different systems for the update summary task at TAC 2008. One system used Roget’s Thesaurus to determine semantic relatedness for the purpose of summary construction. The other system employs a variety of heuristics, including an innovative use of the topic headline in the assessment of semantic similarity among sentences. Our submission to the opinion task used only...
متن کاملSummarizing with Roget's and with FrameNet
We submitted runs from two different systems for the update summary task at TAC 2009. The first system refined its use of Roget’s Thesaurus, moving beyond 2008’s semantic relatedness to compute an entropy-based uniqueness measure, with improved results in summary construction. The other system, our first use of deeper semantic knowledge, represents sentences as FrameNet types in a conceptual gr...
متن کامل