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» Improving Language Models by Clustering Training Sentences
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85
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EMNLP
2006
15 years 1 months ago
Multilingual Deep Lexical Acquisition for HPSGs via Supertagging
We propose a conditional random fieldbased method for supertagging, and apply it to the task of learning new lexical items for HPSG-based precision grammars of English and Japanes...
Phil Blunsom, Timothy Baldwin
EPIA
2009
Springer
15 years 4 months ago
Semantic Image Search and Subset Selection for Classifier Training in Object Recognition
Abstract. Robots need to ground their external vocabulary and internal symbols in observations of the world. In recent works, this problem has been approached through combinations ...
Rui Pereira, Luís Seabra Lopes, Augusto Sil...
92
Voted
EMNLP
2009
14 years 10 months ago
Consensus Training for Consensus Decoding in Machine Translation
We propose a novel objective function for discriminatively tuning log-linear machine translation models. Our objective explicitly optimizes the BLEU score of expected n-gram count...
Adam Pauls, John DeNero, Dan Klein
83
Voted
SIGIR
2004
ACM
15 years 5 months ago
Corpus structure, language models, and ad hoc information retrieval
Most previous work on the recently developed languagemodeling approach to information retrieval focuses on document-specific characteristics, and therefore does not take into acc...
Oren Kurland, Lillian Lee
99
Voted
ACL
2010
14 years 10 months ago
Entity-Based Local Coherence Modelling Using Topological Fields
One goal of natural language generation is to produce coherent text that presents information in a logical order. In this paper, we show that topological fields, which model high-...
Jackie Chi Kit Cheung, Gerald Penn