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» A Trainable Document Summarizer
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KDD
2010
ACM
318views Data Mining» more  KDD 2010»
13 years 5 months ago
DivRank: the interplay of prestige and diversity in information networks
Information networks are widely used to characterize the relationships between data items such as text documents. Many important retrieval and mining tasks rely on ranking the dat...
Qiaozhu Mei, Jian Guo, Dragomir R. Radev
EMNLP
2010
13 years 5 months ago
Title Generation with Quasi-Synchronous Grammar
The task of selecting information and rendering it appropriately appears in multiple contexts in summarization. In this paper we present a model that simultaneously optimizes sele...
Kristian Woodsend, Yansong Feng, Mirella Lapata
COLING
2010
13 years 2 months ago
Automatic Temporal Expression Normalization with Reference Time Dynamic-Choosing
Temporal expressions in texts contain significant temporal information. Understanding temporal information is very useful in many NLP applications, such as information extraction,...
Xujian Zhao, Peiquan Jin, Lihua Yue
ACL
2011
12 years 11 months ago
Learning From Collective Human Behavior to Introduce Diversity in Lexical Choice
We analyze collective discourse, a collective human behavior in content generation, and show that it exhibits diversity, a property of general collective systems. Using extensive ...
Vahed Qazvinian, Dragomir R. Radev
SIGIR
2011
ACM
12 years 10 months ago
No free lunch: brute force vs. locality-sensitive hashing for cross-lingual pairwise similarity
This work explores the problem of cross-lingual pairwise similarity, where the task is to extract similar pairs of documents across two different languages. Solutions to this pro...
Ferhan Ture, Tamer Elsayed, Jimmy J. Lin