A large-scale classification of English verbs
Lexical classifications have proved useful in supporting various natural language
processing (NLP) tasks. The largest verb classification for English is Levin's (1993) work …
processing (NLP) tasks. The largest verb classification for English is Levin's (1993) work …
Using the web to obtain frequencies for unseen bigrams
This article shows that the Web can be employed to obtain frequencies for bigrams that are
unseen in a given corpus. We describe a method for retrieving counts for adjective-noun …
unseen in a given corpus. We describe a method for retrieving counts for adjective-noun …
[PDF][PDF] Extending VerbNet with Novel Verb Classes.
Lexical classifications have proved useful in supporting various natural language
processing (NLP) tasks. The largest verb classification for English is Levin's (1993) work …
processing (NLP) tasks. The largest verb classification for English is Levin's (1993) work …
Experiments on the automatic induction of German semantic verb classes
SS Im Walde - Computational Linguistics, 2006 - direct.mit.edu
This article presents clustering experiments on German verbs: A statistical grammar model
for German serves as the source for a distributional verb description at the lexical syntax …
for German serves as the source for a distributional verb description at the lexical syntax …
Web-based models for natural language processing
Previous work demonstrated that Web counts can be used to approximate bigram counts,
suggesting that Web-based frequencies should be useful for a wide variety of Natural …
suggesting that Web-based frequencies should be useful for a wide variety of Natural …
[PDF][PDF] Extended lexical-semantic classification of English verbs
Lexical-semantic verb classifications have proved useful in supporting various natural
language processing (NLP) tasks. The largest and the most widely deployed classification in …
language processing (NLP) tasks. The largest and the most widely deployed classification in …
[PDF][PDF] The web as a baseline: Evaluating the performance of unsupervised web-based models for a range of NLP tasks
Previous work demonstrated that web counts can be used to approximate bigram
frequencies, and thus should be useful for a wide variety of NLP tasks. So far, only two …
frequencies, and thus should be useful for a wide variety of NLP tasks. So far, only two …
[PDF][PDF] Inducing German semantic verb classes from purely syntactic subcategorisation information
The paper describes the application of k-Means, a standard clustering technique, to the task
of inducing semantic classes for German verbs. Using probability distributions over verb …
of inducing semantic classes for German verbs. Using probability distributions over verb …
Verb class discovery from rich syntactic data
Previous research has shown that syntactic features are the most informative features in
automatic verb classification. We investigate their optimal characteristics by comparing a …
automatic verb classification. We investigate their optimal characteristics by comparing a …
Lexicalized stochastic modeling of constraint-based grammars using log-linear measures and EM training
We present a new approach to stochastic modeling of constraint-based grammars that is
based on log-linear models and uses EM for estimation from unannotated data. The …
based on log-linear models and uses EM for estimation from unannotated data. The …