The model developed using TF-IDF showed the best performance, followed by the model using word occurrence and lastly the model using binary frequency.
The acoustic model uses cross-word and context-dependent triphones.
They found that using both word-level and whole-summary-level supervision in training the model on a dataset containing news articles from CNN and the Daily Mail, made the summaries more coherent and readable.
Experimental results show that the discourse-aware retrieval model achieves higher precision than the word-based retrieval models, namely the vector space model (VSM) and Okapi model, adopting word-level information alone.
The computer, an older model, used severely outdated word processing and virus software.
The visual model is a simple bag-of-words model, using SURF [5] as features.
Maupassant, Zola, Balzac, Hugo, Flaubert: he used words as a model for picture-making.
We use words' weights to guide neural models to focus on important words.
Note that each question item asked for a different target word at the same level of word difficulty based on JACET8000, which uses an eight-level system in which level 1 denotes the easiest words (most frequently used words).
