Location: EU Supported » PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning » PASCAL Second Challenges Workshop 2006 - Venice

Recognizing Textual Entailment with LCC´s GROUNDHOG System

author:Andrew Hickl, Language Computer Corporation
published: Feb. 25, 2007,   recorded: April 2006,   views: 215
Categories
You might be experiencing some problems with Your Video player.

Slides

Slides
0:00 Recognizing Textual Entailment with LCC’s Groundhog System
1:07 Introduction
1:55 Outline of Today’s Talk
2:19 Architecture of the Groundhog System
3:35 A Motivating Example
5:39 Preprocessing
6:46 Preprocessing
7:34 Preprocessing
7:49 Preprocessing
8:32 Preprocessing
9:24 Preprocessing
10:08 Preprocessing
11:16 Preprocessing
11:27 Lexical Alignment
12:25 Lexical Alignment
13:09 Lexical Alignment
13:57 Training the Alignment Classifier
14:33 Creating New Sources of Training Data
15:39 Creating New Sources of Training Data
16:53 Training the Alignment Classifier
17:35 Paraphrase Acquisition
19:11 Paraphrase Acquisition
19:44 Paraphrase Acquisition
20:45 Entailment Classification
21:27 Entailment Classification
22:24 Entailment Classification
24:53 Entailment Classification
26:10 Another Example
26:40 Example 734
28:27 Evaluation: 2006 RTE Performance
30:05 Evaluation: Role of Training Data
31:23 Evaluation: Role of Features in Entailment Classifier
32:42 Conclusions

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.

Description

We introduce a new system for recognizing textual entailment (known as GROUNDHOG) which utilizes a classification-based approach to combine lexico-semantic information derived from text processing applications with a large collection of paraphrases acquired automatically from the WWW. Trained on 200,000 examples of textual entailment extracted from newswire corpora, our system managed to classify more than 75% of the pairs in the 2006 PASCAL RTE Test Set correctly.

See Also:

Download slides icon Download slides: pcw06_hickl_rtelg.ppt (441.0 KB)

Launch Windows Media PlayerLaunch in a standalone WM Player

WMedia PlayerSwitch to Windows Media Player

View slides View slides

Help icon Streaming Video Help

WebLink icon Windows Media Player Firefox Plugin - Download

Link this page  

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: