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ACL
2003
13 years 11 months ago
Text Chunking by Combining Hand-Crafted Rules and Memory-Based Learning
This paper proposes a hybrid of handcrafted rules and a machine learning method for chunking Korean. In the partially free word-order languages such as Korean and Japanese, a smal...
Seong-Bae Park, Byoung-Tak Zhang
ACL
2001
13 years 11 months ago
Evaluating Smoothing Algorithms against Plausibility Judgements
Previous research has shown that the plausibility of an adjective-noun combination is correlated with its corpus co-occurrence frequency. In this paper, we estimate the co-occurre...
Maria Lapata, Frank Keller, Scott McDonald
ACL
2003
13 years 11 months ago
Constructing Semantic Space Models from Parsed Corpora
Traditional vector-based models use word co-occurrence counts from large corpora to represent lexical meaning. In this paper we present a novel approach for constructing semantic ...
Sebastian Padó, Mirella Lapata
ACL
2001
13 years 11 months ago
From Chunks to function-Argument Structure: A Similarity-Based Approach
Chunk parsing has focused on the recognition of partial constituent structures at the level of individual chunks. Little attention has been paid to the question of how such partia...
Sandra Kübler, Erhard W. Hinrichs
ACL
2003
13 years 11 months ago
Towards a Model of Face-to-Face Grounding
We investigate the verbal and nonverbal means for grounding, and propose a design for embodied conversational agents that relies on both kinds of signals to establish common groun...
Yukiko I. Nakano, Gabe Reinstein, Tom Stocky, Just...
ACL
2001
13 years 11 months ago
Joint and Conditional Estimation of Tagging and Parsing Models
This paper compares two different ways of estimating statistical language models. Many statistical NLP tagging and parsing models are estimated by maximizing the (joint) likelihoo...
Mark Johnson
ACL
2003
13 years 11 months ago
Minimum Error Rate Training in Statistical Machine Translation
Often, the training procedure for statistical machine translation models is based on maximum likelihood or related criteria. A general problem of this approach is that there is on...
Franz Josef Och
ACL
2001
13 years 11 months ago
Japanese Named Entity Recognition based on a Simple Rule Generator and Decision Tree Learning
Named entity (NE) recognition is a task in which proper nouns and numerical information in a document are detected and classified into categories such as person, organization, loc...
Hideki Isozaki