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Computational Logic

Natural Language Processing for Knowledge Representation

Summer Term 2014

Course Description

Approaches developed in the knowledge representation and reasoning (KRR) community typically use data in a very structured form. Natural language processing (NLP) seems a way of removing this constraint. However, the potential interactions between the two fields seem mainly untapped: this course aims at presenting such interactions.

Lecturer:  Dr. Michaël Thomazo

Modules:  INF-BAS2, MCL-KR, MCL-PI

Status:  advanced unit

SWS (lecture/tutorial/practical):  2/2/0

Examination method:  to be announced

Prerequisites:

  • none

Organization

The lecture is scheduled for Monday, 11:10-12:40 (DS 3) in room INF E005.
The tutorial is scheduled for Monday, 13:00-14:30 (DS 4) in room INF E005.

No course on June, 30th. Please fill the following Doodle: http://doodle.com/t6m99pvvrgvaq9tm to find an alternative date.

Course on July 10th, DS2, in Room 2040.

Handouts and Slides

References

  • Main reference for Markov Logic: Markov Logic: An Interface Layer for Artificial Intelligence, Domingos and Lowd, 2009
  • Karthik Raghunathan, Heeyoung Lee, Sudarshan Rangarajan, Nate Chambers, Mihai Surdeanu, Dan Jurafsky, Christopher D. Manning: A Multi-Pass Sieve for Coreference Resolution. EMNLP 2010: 492-501
  • Hoifung Poon, Pedro Domingos: Joint Unsupervised Coreference Resolution with Markov Logic. EMNLP 2008: 650-659
  • Xiaoqiang Luo: On Coreference Resolution Performance Metrics. HLT/EMNLP 2005
  • More references about co-ref available there
  • Natural Logic: Bill MacCartney, Christopher D. Manning An extended model of natural logic, IWCS'09
  • Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum: YAGO: A Large Ontology from Wikipedia and WordNet. JWS'08
  • Kylin: FeiWu and Daniel S.Weld. Autonomously semantifying wikipedia. CIKM, 2007.
  • Consistent Query Answering: Paragraph 6.2. of these notes
Last modified: 17th Jul 2014, 7.24 AM
Author: Dr. Sarah Gaggl