We present a class of models that are discriminatively trained to directly map from the word content in a query-document or documentdocument pair to a ranking score. Like Latent Se...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...
This paper proposes a strategy to reduce the amount of hardware involved in the solution of search engine queries. It proposes using a secondary compact cache that keeps minimal i...
We investigate the problem of determining the polarity of sentiments when one or more occurrences of a negation term such as “not” appear in a sentence. The concept of the sco...
In this paper, the task of text segmentation is approached from a topic modeling perspective. We investigate the use of latent Dirichlet allocation (LDA) topic model to segment a ...
Many content-oriented applications require a scalable text index. Building such an index is challenging. In addition to the logic of inserting and searching documents, developers ...