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EMNLP
2009
14 years 7 months ago
Clustering to Find Exemplar Terms for Keyphrase Extraction
Keyphrases are widely used as a brief summary of documents. Since manual assignment is time-consuming, various unsupervised ranking methods based on importance scores are proposed...
Zhiyuan Liu, Peng Li, Yabin Zheng, Maosong Sun
ICTAI
2007
IEEE
15 years 4 months ago
A Methodology for Reader's Emotional State Extraction to Augment Expressions in Speech Synthesis
This paper presents a methodology for the real-time extraction of readers’ emotional state from documents as well as the representation of emotionally annotated documents into a...
Dimitrios Tsonos, Gerasimos Xydas, Georgios Kourou...
SEMCO
2007
IEEE
15 years 4 months ago
A Hybrid Approach to Improving Semantic Extraction of News Video
In this paper we describe a hybrid approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple feature s...
Alexander G. Hauptmann, Ming-yu Chen, Michael G. C...
ANLP
2000
127views more  ANLP 2000»
14 years 11 months ago
Answer Extraction
Information retrieval systems have typically concentrated on retrieving a set of documents which are relevant to a user's query. This paper describes a system that attempts t...
Steven P. Abney, Michael Collins, Amit Singhal
DL
1999
Springer
187views Digital Library» more  DL 1999»
15 years 2 months ago
KEA: Practical Automatic Keyphrase Extraction
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea ident...
Ian H. Witten, Gordon W. Paynter, Eibe Frank, Carl...