Title: Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing Conference: EACL 2017 (European Chapter of the Association for Computational Linguistics), at Valencia, 3-7 April 2017. Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing by Minh Le and Antske Fokkens Abstract: Error propagation is a common problem in READ MORE
Category: ULM-4
— An AlphaGo for Natural Language?
An AlphaGo for Natural Language? By Minh Le In October 2015, AlphaGo played its first winning games against a professional Go player. After the Nature article was published and the $1 million bet against Lee Sedol was proposed, Go players around the world have studied the matches extensively to speculate about the coming matches. The consensus READ MORE
— Similarity & Relatedness
Similarity & Relatedness presentations by Marten Postma, Minh Le, Alessandro Lopopolo, and Emiel van Miltenburg. July 01, 2015 at VU Amsterdam Similarity and relatedness lie at the core of semantics. At CLTL, we study similarity and relatedness from different perspectives: linguistic perspective using WordNet hierarchy, mathematic perspective about evaluation, neurological perspective using brain wave recoding, READ MORE
— Similarity, co-occurrence, functional relation, part-whole relation, subcategorization, what else?
In word sense disambiguation and named-entity disambiguation, an important assumption is that a document consists of related concepts and entities. There are millions of concepts and entities, what makes some related but not others? This question is difficult and I don’t have the definitive answer. But it is a good start to list some classes READ MORE
— 1st VU-Spinoza Workshop ULM-4
ULM-4: A quantum model of text understanding. Presentation by: Minh Ngoc Lê, MSc & Filip Ilievski, Student assistant. Understanding language by machines 4 1st VU-Spinoza workshop October 17th 2014 View/download presentation by Minh Ngoc Lê, MSc & Filip Ilievski, Student assistant ULM-4: A quantum model of text understanding (pdf) Filip Ilievski: “Ontology-based reasoning. Spot redundancies/wrong READ MORE