Thomas S. Morton

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\Ve developed a query-sensitive text summarization technology \Vell suited for the task of determining whether a. document is relevant to <'-" query. Enoug;h of the docurnent is displayed for the user to determine whether the document should l:H~ read in its entirety. Evaluations indicate that sununarics are classif-ied for relevauce uearly as well as(More)
Scoring the performance of a system is an extremely important aspect of coreference algorithm performance. The score for a particular run is the single strongest measure of how well the system is performing and it can strongly determine directions for further improvements. In this paper, we present several di erent scoring algorithms and detail their(More)
We present a system which retrieves answers to queries based on coreference relationships between entities and events in the query and documents. An evaluation of this system is given which demonstra tes that the the amount of information that the user must process on average, tQ find an answer to their query, is reduced by an order of magnitude. 1 I n t r(More)
In this paper we present an overview of the system used by the GE/Penn team for the the Question Answering Track of TREC-8. Our system uses a simple sentence ranking method which is enhanced by the addition of coreference annotated data as its input. We will present an overview of our initial system and its components. Since this was the rst time this track(More)
Automatic summarization [5] can be defined as the procedure to create a short version of a text by a computer program. Its product still contains the most important points of the existing text. Multi-document summarization [6] can be defined as an automatic procedure which extracts information from multiple texts that is written about the same topic.(More)
B r e c k B a l d w i n T h o m a s S. M o r t o n A m i t B a g g a I n s t i t u t e f o r R e s e a r c h D e p a r t m e n t o f C o m p u t e r D e p a r t m e n t o f C o m p u t e r i n C o g n i t i v e S c i e n c e a n d I n f o r m a t i o n S c i e n c e S c i e n c e U n i v e r s i t y o f P e n n s y l v a n i a U n i v e r s i t y o f P e n(More)
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