'Word sense disambiguation' diaporamas de présentation

LING / C SC 439/539 Statistical Natural Language Processing

LING / C SC 439/539 Statistical Natural Language Processing. Lecture 20 4 /1/2013. Recommended reading. Word Sense Disambiguation Jurafsky & Martin 20.0-20.4

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Word Sense Disambiguation

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Outline

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Maxent Models and Discriminative Estimation

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Crowdsourcing for NLP Using Amazon Mechanical Turk and CrowdFlower Matteo Negri and Yashar Mehdad

Crowdsourcing for NLP Using Amazon Mechanical Turk and CrowdFlower Matteo Negri and Yashar Mehdad. Crowdsourcing. Wikipedia :

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CMSC 723 / LING 645: Intro to Computational Linguistics

CMSC 723 / LING 645: Intro to Computational Linguistics. September 1, 2004: Dorr Overview, History, Goals, Problems, Techniques; Intro to MT (J&M 1, 21) Prof. Bonnie J. Dorr Dr. Christof Monz TA: Adam Lee. Administrivia. http://www.umiacs.umd.edu/~christof/courses/cmsc723-fall04/. IMPORTANT:

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Word Sense Disambiguation

Word Sense Disambiguation. Asma Naseer. (Slides from Dr. Mary P. Harper, http://min.ecn.purdue.edu/~ee669/). Overview of the Problem. Problem: many words have different meanings or senses, i.e., there is ambiguity about how they are to be specifically interpreted (e.g., differentiate ).

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Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation

Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation. Masters Thesis : Saif Mohammad Advisor : Dr. Ted Pedersen University of Minnesota, Duluth. Path Map. Introduction Background Data Experiments Conclusions. Word Sense Disambiguation.

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Extended Gloss Overlaps as a Measure of Semantic Relatedness

Extended Gloss Overlaps as a Measure of Semantic Relatedness. Satanjeev Banerjee Ted Pedersen Carnegie Mellon University University of Minnesota Duluth Supported by NSF Grants: #0092784, REC-9979894. Semantic Relatedness.

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Comparing Ontology-based and Corpus-based Domain Annotations in WordNet.

Comparing Ontology-based and Corpus-based Domain Annotations in WordNet. A paper by: Bernardo Magnini Carlo Strapparava Giovanni Pezzulo Alfio Glozzo Presented by : rabee ali alshemali. Motive. Domain information is an emerging topic of interest in relation to WrodNet . Proposal

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I256 Applied Natural Language Processing Fall 2009

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NLM Indexing Initiative Tools for NLP: MetaMap and the Medical Text Indexer

NLM Indexing Initiative Tools for NLP: MetaMap and the Medical Text Indexer. Natural Language Processing: State of the Art, Future Directions April 23, 2012 Alan R. Aronson . Outline. Introduction MetaMap Overview Linguistic roots Recent Word Sense Disambiguation (WSD) efforts

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Advanced best match

Advanced best match Mark Sanderson Porto, 2000 Aims To build on what you have done so far, reviewing more sophisticated ways of ranking documents in relation to a query. Objectives At the end of this lecture you will be able to describe a range of statistically based approaches to IR namely

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Collective Word Sense Disambiguation

Collective Word Sense Disambiguation. David Vickrey Ben Taskar Daphne Koller. Word Sense Disambiguation. Clues. The electricity plant supplies 500 homes with power . vs. A plant requires water and sunlight to survive. Clues. Tricky:. That plant produces bottled water.

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Improving Machine Learning Approaches to Coreference Resolution Vincent Ng and Claire Cardie Department of Computer Scie

Improving Machine Learning Approaches to Coreference Resolution Vincent Ng and Claire Cardie Department of Computer Science Cornell University. ACL 2002, Univ. of Pennsylvania, Philadelphia, PA (July 2002) Session: Anaphora and Coreference Session Chair: Lillian Lee.

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Annotation for Hindi PropBank

Annotation for Hindi PropBank. Outline. Introduction to the project Basic linguistic concepts Verb & Argument Making information explicit Null arguments. Tasks to be carried out Timesheets, tips. Creation of Resources. For machines rather than humans

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Presenter: Chun-Ping Wu

Unsupervised word sense disambiguation for Korean through the acyclic weighted digraph using corpus and dictionary. Presenter: Chun-Ping Wu Authors: Yeohoon Yoon, Choong-Nyoung Seon , Songwook Lee, Jungynu Seo. ???????? National Yunlin University of Science and Technology. IPM 2007.

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