Предсказательная сила
Related Papers
Collocation Map for Overcoming Data Sparseness
Statistical language models are useful because they can provide probabilis- tic information upon uncertain decision making. The most common statistic is n-grams measuring word cooccurrences in texts. The method suffers …...
A Structured Language Model
The paper presents a language model that develops syntactic structure and uses it to extract meaningful information from the word history, thus enabling the use of long distance dependencies. The …...
A Comparison of Windowless and Window-Based Computational Association Measures as Predictors of Syntagmatic Human Associations
Distance-based (windowless) word asso- cation measures have only very recently appeared in the NLP literature and their performance compared to existing win- dowed or frequency-based measures is largely unknown. We …...
Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning
Vector space models (VSMs) represent word meanings as points in a high dimen- sional space. VSMs are typically created using a large text corpora, and so repre- sent word semantics …...