Sciweavers

ACL
2001
13 years 5 months ago
Immediate-Head Parsing for Language Models
We present two language models based upon an "immediate-head" parser -our name for a parser that conditions all events below a constituent c upon the head of c. While al...
Eugene Charniak
ACL
2003
13 years 5 months ago
Generalized Algorithms for Constructing Statistical Language Models
Recent text and speech processing applications such as speech mining raise new and more general problems related to the construction of language models. We present and describe in...
Cyril Allauzen, Mehryar Mohri, Brian Roark
ACL
2006
13 years 5 months ago
A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes
We propose a new hierarchical Bayesian n-gram model of natural languages. Our model makes use of a generalization of the commonly used Dirichlet distributions called Pitman-Yor pr...
Yee Whye Teh
ACL
2006
13 years 5 months ago
A Comparison of Document, Sentence, and Term Event Spaces
The trend in information retrieval systems is from document to sub-document retrieval, such as sentences in a summarization system and words or phrases in question-answering syste...
Catherine Blake
EMNLP
2008
13 years 6 months ago
Coarse-to-Fine Syntactic Machine Translation using Language Projections
The intersection of tree transducer-based translation models with n-gram language models results in huge dynamic programs for machine translation decoding. We propose a multipass,...
Slav Petrov, Aria Haghighi, Dan Klein
ECIR
2008
Springer
13 years 6 months ago
Modeling Documents as Mixtures of Persons for Expert Finding
Abstract. In this paper we address the problem of searching for knowledgeable persons within the enterprise, known as the expert finding (or expert search) task. We present a proba...
Pavel Serdyukov, Djoerd Hiemstra
ECIR
2008
Springer
13 years 6 months ago
Utilizing Passage-Based Language Models for Document Retrieval
Abstract. We show that several previously proposed passage-based document ranking principles, along with some new ones, can be derived from the same probabilistic model. We use lan...
Michael Bendersky, Oren Kurland
ACL
2007
13 years 6 months ago
Sparse Information Extraction: Unsupervised Language Models to the Rescue
Even in a massive corpus such as the Web, a substantial fraction of extractions appear infrequently. This paper shows how to assess the correctness of sparse extractions by utiliz...
Doug Downey, Stefan Schoenmackers, Oren Etzioni
ACL
2007
13 years 6 months ago
A discriminative language model with pseudo-negative samples
In this paper, we propose a novel discriminative language model, which can be applied quite generally. Compared to the well known N-gram language models, discriminative language m...
Daisuke Okanohara, Jun-ichi Tsujii
ACL
2008
13 years 6 months ago
Grounded Language Modeling for Automatic Speech Recognition of Sports Video
Grounded language models represent the relationship between words and the non-linguistic context in which they are said. This paper describes how they are learned from large corpo...
Michael Fleischman, Deb Roy