TUD Logo

TUD Startseite » ... » Lehre » Summer Term 2014 » Natural Language Processing for Knowledge Representation

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


  • none


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


  • 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
Stand: 17.7.2014, 7:24 Uhr
Autor: Dr. Sarah Gaggl