Difference between revisions of "User:Dwijaya"
| Line 15: | Line 15: | ||
Wiki Writeups: (Theme: Temporal Information Extraction) | Wiki Writeups: (Theme: Temporal Information Extraction) | ||
| + | ==Problem== | ||
* [[Temporal_information_extraction|Temporal Information Extraction]] (problem) | * [[Temporal_information_extraction|Temporal Information Extraction]] (problem) | ||
* [[Temporal_ordering|Temporal ordering]] (problem) | * [[Temporal_ordering|Temporal ordering]] (problem) | ||
* [[Narrative_event_chains|Narrative event chains]] (problem) | * [[Narrative_event_chains|Narrative event chains]] (problem) | ||
| − | + | ==Dataset== | |
* [[TimeBank_Corpus|TimeBank Corpus]] (dataset) | * [[TimeBank_Corpus|TimeBank Corpus]] (dataset) | ||
* [[Gigaword_corpus|Gigaword Corpus]] (dataset) | * [[Gigaword_corpus|Gigaword Corpus]] (dataset) | ||
| − | + | ==Method== | |
* [[Integer_Linear_Programming|Integer Linear Programming]] (method) | * [[Integer_Linear_Programming|Integer Linear Programming]] (method) | ||
* [[Topics_over_Time | Topics over Time]] (method) | * [[Topics_over_Time | Topics over Time]] (method) | ||
| − | + | ==Paper== | |
* [[Chambers_and_Jurafsky,_Jointly_combining_implicit_constraints_improves_temporal_ordering,_EMNLP_2008|Chambers and Jurafsky, Jointly combining implicit constraints improves temporal ordering, EMNLP 2008]] (paper) | * [[Chambers_and_Jurafsky,_Jointly_combining_implicit_constraints_improves_temporal_ordering,_EMNLP_2008|Chambers and Jurafsky, Jointly combining implicit constraints improves temporal ordering, EMNLP 2008]] (paper) | ||
* [[Yoshikawa_2009_jointly_identifying_temporal_relations_with_markov_logic|Yoshikawa et. al., Jointly Identifying Temporal Relations with Markov Logic, Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, 2009]] (paper) | * [[Yoshikawa_2009_jointly_identifying_temporal_relations_with_markov_logic|Yoshikawa et. al., Jointly Identifying Temporal Relations with Markov Logic, Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, 2009]] (paper) | ||
Revision as of 01:13, 29 November 2011
Name: Derry Tanti Wijaya
Homepage: http://www.cs.cmu.edu/~dwijaya
I am a 2nd year PhD student at Language Technologies Institute.
My research interest is in the area of information retrieval, machine learning, and natural language processing. I am currently involved in the Read The Web project that builds a system called NELL which tries to learn overtime to 'read' (automatically extract facts and build a Knowledge Base of these facts) from the Web. Previously I was involved in the e-LICO project, specifically in the building of an ontology of data mining algorithms and models. I have also worked previously on the area of opinion mining and graph clustering.
Project:
Inferring Geographical Activity of Users from Tweets (Finding out who you are from where, when, what and with whom you tweet)
Wiki Writeups: (Theme: Temporal Information Extraction)
Problem
- Temporal Information Extraction (problem)
- Temporal ordering (problem)
- Narrative event chains (problem)
Dataset
- TimeBank Corpus (dataset)
- Gigaword Corpus (dataset)
Method
- Integer Linear Programming (method)
- Topics over Time (method)
Paper
- Chambers and Jurafsky, Jointly combining implicit constraints improves temporal ordering, EMNLP 2008 (paper)
- Yoshikawa et. al., Jointly Identifying Temporal Relations with Markov Logic, Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, 2009 (paper)
- Denis and Muller, Predicting Globally-Coherent Temporal Structures from Texts via Endpoint Inference and Graph Decomposition, IJCAI 2011 (paper)
- Das Sarma et. al., Dynamic Relationship and Event Discovery, WSDM 2011 (paper)
- Ling, X. and Weld, D. Temporal Information Extraction. AAAI-10 (paper)
- Chambers and Jurafsky, Unsupervised Learning of Narrative Event Chains, ACL 2008 (paper)
