'Artificial Intelligence' Category
POTW 2/11/07: Discussion of sections 5-8 of Minkov, et. al
POTW 2/11/07: Contextual Search and Name Disambiguation in Email Using Graphs
Discussion of Sections 5 through 8
The remaining sections of this paper are discussions of two applications of the algorithms plus the body of related work and conclusions that can be drawn from the work. Section 5 gives the details on what corpora were used [...]Popularity: 7% [?]
POTW 2/11/07: Discussion of sections 1-4 of Minkov, et. al
Intro
This week we are reading Contextual Search and Name Disambiguation in Email Using Graphs
by Einat Minkov, William W. Cohen and Andrew Y Ng, all of Carnegie Mellon University. Like the past few papers, this paper also focuses on how to use graph theory to solve some common NLP papers. Unlike the past few [...]Popularity: 7% [?]
Addendum to TextRank
I implemented this last night using JGraphT just to see what was involved. I would guess it took me around 4 hours and is pretty straight forward. I did have a little trouble getting down how to best estimate the error for calculating convergence, but did eventually arrive at a solution after simplifying [...]
Popularity: 6% [?]
Discussion of Remaining Sections of TextRank
Section 4 of TextRank: Bringing Order Into Texts (http://www.cs.unt.edu/~rada/papers/mihalcea.emnlp04.pdf) by Mihalcea and Tarau continues the paper with another application of the TextRank algorithm. Taking the keyword extraction process to the next level, Mihalcea applies the algorithm to Sentence Extraction. The goal of Sentence Extraction is to identify the sentences of a document that best represent [...]
Popularity: 2% [?]
Discussion of Section 3 of TextRank
Section 3 of TextRank: Bringing Order Into Texts covers the first application of the TextRank approach proposed in section 2. The authors have chosen keyword extraction to demonstrate the capabilities of the approach. Keyword extraction is the problem of determining the keywords that best describe a document. It can be thought of as a precursor [...]
Popularity: 6% [?]
