emnlp 1996 论文列表Conference on Empirical Methods in Natural Language Processing, EMNLP 1996, Philadelphia, PA, USA, May 17-18, 1996. |
Efficient Algorithms for Parsing the DOP Model.
A Maximum Entropy Model for Part-Of-Speech Tagging.
Figures of Merit for Best-First Probabilistic Chart Parsing.
Automating Feature Set Selection for Case-Based Learning of Linguistic Knowledge.
The Measure of a Model.
Apportioning Development Effort in a Probabilistic LR Parsing System Through Evaluation.
Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning.
Combining Hand-crafted Rules and Unsupervised Learning in Constraint-based Morphological Disambiguation.
Better Language Models with Model Merging.
Automatic Extraction of New Words from Japanese Texts using Generalized Forward-Backward Search.
Modeling Conversational Speech for Speech Recognition.
Unsupervised Learning of Syntactic Knowledge: Methods and Measures.
Parsing Chinese With an Almost-Context-Free Grammar.
A Geometric Approach to Mapping Bitext Correspondence.