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

event thumbnail image

PASCAL Second Challenges Workshop 2006 - Venice

Approaching Textual Entailment with LFG and FrameNet Frames

author:Aljoscha Burchardt, Saarland University
published: Feb. 25, 2007, recorded: April 2006, views: 80

Categories

Top » Computer Science » Semantic Web

Turn off the lights

You might be experiencing some problems with Your Video player.

Slides

Slides
0:03	Approximating Textual Entailment with LFG and FrameNet Frames
0:47	Outline of this Talk
0:54	Frame Semantics (Fillmore 1976, Fillmore et. al. 2003)
1:28	Linguistic Normalizations (Frame: Commerce_buy)
2:46	Frame Semantics for RTE
3:29	A Baseline System for Approximating Textual Entailment
4:02	A Baseline System for Approximating Textual Entailment
5:05	Linguistic Components
6:33	Example from RTE 2006
7:07	LFG F-Structures
7:28	Automatic Frame Annotation for Text (SALTO Viewer)
9:00	Automatic Frame Annotation for Hypothesis
9:29	LFG + Frames for Hypothesis (FEFViewer)
10:07	Hypothesis-Text-Match Graphs Computing Structural and Semantic overlap
10:28	t: In 1983, Aki Kaurismäki directed his first full-time feature.
10:52	Statistical Modeling

Related content

Visitors who watched this lecture also watched...

Panel 1: Perspectives on Textual Entailment
76 views - Sanda Harabagiu, 2006

Learning to Distinguish Valid Textual Entailments
239 views - Marie-Catherine de Marneffe, 2006

When Logical Inference Helps Determining Textual Entailment (and When it Doesn´t)
100 views - Johan Bos, 2006

Recognizing Textual Entailment with LCC´s GROUNDHOG System
215 views - Andrew Hickl, 2006

Learning Textual Entailment from Examples
146 views - Fabio Massimo Zanzotto, 2006

COGEX at the Second Recognizing Textual Entailment Challenge
85 views - Marta Tatu, 2006

Debate
23 views - Rodolfo Delmonte, Aljoscha Burchardt, 2006

Machine Learning, Probability and Graphical Models
18311 views - Sam Roweis, 2006

Sum up of what has been done in PASCAL
27 views - Michèle Sebag, 2006

Textual inference data set
40 views - Johan Bos, 2006

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 present a baseline system for modeling textual entailment that combines deep syntactic analysis with structured lexical meaning descriptions in the FrameNet paradigm. Textual entailment is approximated by degrees of structural and semantic overlap of text and hypothesis, which we measure in a match graph. The encoded measures of similarity are processed in a machine learning setting.

See Also:

Download slides icon Download slides: pcw06_burchardt_atelf.ppt (374.5 KB)

Launch Windows Media Player Launch in a standalone WM Player

WMedia Player Switch to Windows Media Player

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:

Comment
Name
Email address
URL

make sure you have javascript enabled or clear this field: