Sciweavers

ACL
1997
13 years 11 months ago
Sentence Planning as Description Using Tree Adjoining Grammar
We present an algorithm for simultaneously constructing both the syntax and semantics of a sentence using a Lexicalized Tree Adjoining Grammar (LTAG). This approach captures natur...
Matthew Stone, Christine Doran
ACL
1997
13 years 11 months ago
String Transformation Learning
String transformation systems have been introduced in (Brill, 1995) and have several applications in natural language processing. In this work we consider the computational proble...
Giorgio Satta, John C. Henderson
ACL
1997
13 years 11 months ago
Retrieving Collocations by Co-occurrences and Word Order Constraints
In this paper, we describe a method for automatically retrieving collocations from large text corpora. This method retrieve collocations in the following stages: 1) extracting str...
Sayori Shimohata, Toshiyuki Sugio, Junji Nagata
ACL
1997
13 years 11 months ago
Comparing a Linguistic and a Stochastic Tagger
Concerning different approaches to automatic PoS tagging: EngCG-2, a constraintbased morphological tagger, is compared in a double-blind test with a state-of-the-art statistical t...
Christer Samuelsson, Atro Voutilainen
ACL
1997
13 years 11 months ago
Hierarchical Non-Emitting Markov Models
We describe a simple variant of the interpolated Markov model with nonemitting state transitions and prove that it is strictly more powerful than any Markov model. More importantl...
Eric Sven Ristad, Robert G. Thomas
ACL
1997
13 years 11 months ago
Combining Unsupervised Lexical Knowledge Methods for Word Sense Disambiguation
This paper presents a method to combine a set of unsupervised algorithms that can accurately disambiguate word senses in a large, completely untagged corpus. Although most of the ...
German Rigau, Jordi Atserias, Eneko Agirre
ACL
1997
13 years 11 months ago
Fertility Models for Statistical Natural Language Understanding
Several recent efforts in statistical natural language understanding (NLU) have focused on generating clumps of English words from semantic meaning concepts (Miller et al., 1995; ...
Stephen Della Pietra, Mark Epstein, Salim Roukos, ...
ACL
1997
13 years 11 months ago
A Trainable Rule-based Algorithm for Word Segmentation
This paper presents a trainable rule-based algorithm for performing word segmentation. The algorithm provides a simple, language-independent alternative to large-scale lexicai-bas...
David D. Palmer