An Analysis of Statistical and Syntactic Phrases

By Mandar Mitra, Chris Buckley, Amit Singhal, Claire Cardie. 1997

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Regularizing Text Categorization with Clusters of Words (2016, background): “with groups of words based on co-occurrences, as opposed to syntactic ones (Mitra et al., 1997).”
The Turn - Integration of Information Seeking and Retrieval in Context (2005, background): “In IR literature, the term phrase has three senses: (1) fixed phrases, (2) syntactic phrases, and (3) statistical phrases (Mitra et al. 1997; Strzalkowski 1995).”
Limitations of Co-Training for Natural Language Learning from Large Datasets (2001, background): “Base noun phrase identification is a crucial component of systems that employ partial syntactic analysis, including information retrieval (e.g. Mitra et al. (1997)) and question answering (e.g. Cardie et al. (2000)) systems.”
Content-based book recommending using learning for text categorization (1999, methodology): “Specifically, we will examine the use of phrases and syntactic parsing [ 31 , 14] and the use of lexical semantic information such as WordNet [13] to enrich the set of features used to describe items [35, 15].”
Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval (2007, background): “As reported in literature, retrieval performance can be boosted if the similarity between a user query and a document is calculated by common phrases instead of common words [6, 5, 11].”
Review of "Mining the Web: discovering knowledge from hypertext data" by Soumen Chakrabati. Morgan Kaufman 2003. (2002, unknown): “Basically, we can regard the phrases as new dimensions added to the vector space [151].”