Concept Identification and Presentation in the Context of Technical Text Summarization

Automatic Identification of Zero Pronouns and their Antecedents within Aligned Sentence Pairs A u t o m a t i c I d e n t i f i c a t i o n o f Z e r o P r o n o u n s a n d t h e i r A n

Trainable, Scalable Summarization Using Robust NLP and Machine Learning Trainable, S c a l a b l e S u m m a r i z a t i o n U s i n g R o b u s t N L P a n d M a c h i n e Learning* C h

A Text Understander that Learns A T e x t U n d e r s t a n d e r t h a t L e a r n s U d o H a h n gz K l e m e n s S c h n a t t i n g e r C o m p u t a t i o n a l L i n g u i s t i c

THE PARSODY SYSTEM AUTOMATIC PREDICTION OF PROSODIC BOUNDARIES FOR TEXT TO SPEECH T H E P A R S O D Y S Y S T E M A U T O M A T I C P R E D I C T I O N O F P R O S O D I C B O U N D A R I

(ALMOST) AUTOMATIC SEMANTIC FEATURE EXTRACTION FROM TECHNICAL TEXT ( A L M O S T ) A U T O M A T I C S E M A N T I C F E A T U R E E X T R A C T I O N F R O M T E C H N I C A L T E X T

HYPOTHESIZING WORD ASSOCIATION FROM UNTAGGED TEXT H Y P O T H E S I Z I N G U N T A G G E D T E X T W O R D A S S O C I A T I O N F R O M Tomoyoshi Matsukawa B B N S y s t e m s a n d T e

Decision Tree Models Applied to the Labeling of Text with Parts of Speech D e c i s i o n Tree M o d e l s A p p l i e d to t h e L a b e l i n g o f T e x t w i t h P a r t s o f S p e e

Evaluating Text Categorization I E v a l u a t i n g T e x t C a t e g o r i z a t i o n I David D Lewis C o m p u t e r a n d I n f o r m a t i o n S c i e n c e D e p t U n i v e r s i