'Algorithms' Category
POTW 3/4/07: Answer Mining by Combining Extraction Techniques with Abductive Reasoning by Harabagiu, et. al.
Building on our discussion of TREC 2003 QA track from last week, we will examine the top performing system from Language Computer Corporation via their paper: Answer Mining by Combining Extraction Techniques with Abductive Reasoning available from the TREC 2003 proceedings located here.
Popularity: 3% [?]Popularity: 3% [?]
POTW 2/26/07: Overview of the TREC 2003 Question Answering Track by Voorhees
Overview of the TREC 2003 Question Answering Track by Voorhees is a nice introduction to the QA task, as defined by TREC. The first two sections layout the two main tasks:
The Passages Task
Main Task - Divided into three sub tasksFactoids
Lists
DefinitionsThe passages task is used to test whether a QA system can find factoids in [...]
Popularity: 3% [?]
POTW 2/26/07: Overview of the TREC 2003 Question Answering Track by Voorhees
This week’s paper can be found at http://www.inf.ed.ac.uk/teaching/courses/tts/papers/QA.OVERVIEW.pdf.
This paper should provide us an introduction to the QA problem and provide some background on evaluation. From here, we will start looking into the different approaches taken for question answering.
natural language processing, QA, question answering
Popularity: 3% [?]Technorati Tags: natural language processing, QA, question answeringPopularity: 3% [?]
Discussion of LexRank by Erkan and Radev
POTW 2/18/07: LexRank: Graph-based Lexical Centrality as Salience in Text Summarization
The LexRank paper by Erkan and Radev is another PageRank/Graph Theory based approach to working with text, this time applied to the task of summarization.
Key parts of sections 1 and 2 discuss the general problem of corpus-based summarization. Unlike TextRank by Mihalcea, Erkan and Radev [...]Popularity: 9% [?]
POTW 2/18/07: LexRank: Graph-based Lexical Centrality as Salience in Text Summarization
The POTW for 2/18/07 is another graph-based approach, this time by another leader in this area, Dragomir Radev. The paper is
LexRank: Graph-based Lexical Centrality as Salience in Text Summarization
Enjoy!
Popularity: 6% [?]Popularity: 6% [?]
