By Associate Professor Eneko Agirre (auth.), Associate Professor Eneko Agirre, Research Scientist Philip Edmonds (eds.)
This is the 1st ebook to hide the total subject of observe feel disambiguation (WSD) together with: the entire significant algorithms, thoughts, functionality measures, effects, philosophical matters, and purposes. top researchers within the box have contributed chapters that synthesize and supply an outline of previous and state of the art examine around the box. The editors have rigorously equipped the chapters into sub-topics. Researchers and teachers will know about the entire diversity of what has been performed and the place the sphere is headed. builders will study which technique(s) will observe to their specific program, tips on how to construct and assessment structures, and what functionality to count on. An accompanying site (www.wsdbook.org) offers hyperlinks to assets for WSD and a searchable index of the book.
Read Online or Download Word Sense Disambiguation: Algorithms and Applications PDF
Similar algorithms books
Parsing applied sciences are fascinated with the automated decomposition of advanced constructions into their constituent components, with buildings in formal or traditional languages as their major, yet definitely no longer their in simple terms, area of program. the focal point of contemporary Advances in Parsing expertise is on parsing applied sciences for linguistic buildings, however it additionally comprises chapters curious about parsing or extra dimensional languages.
Anticipatory studying Classifier platforms describes the cutting-edge of anticipatory studying classifier systems-adaptive rule studying structures that autonomously construct anticipatory environmental versions. An anticipatory version specifies all attainable action-effects in an atmosphere with recognize to given events.
This e-book constitutes the completely refereed convention lawsuits of the tenth overseas Symposium on Reconfigurable Computing: Architectures, instruments and functions, ARC 2014, held in Vilamoura, Portugal, in April 2014. The sixteen revised complete papers offered including 17 brief papers and six targeted consultation papers have been conscientiously reviewed and chosen from fifty seven submissions.
- Computer Network Time Synchronization: The Network Time Protocol
- Algorithms for Sensor Systems: 7th International Symposium on Algorithms for Sensor Systems, Wireless Ad Hoc Networks and Autonomous Mobile Entities, ALGOSENSORS 2011, Saarbrücken, Germany, September 8-9, 2011, Revised Selected Papers
- Algorithms and Data Structures: 9th International Workshop, WADS 2005, Waterloo, Canada, August 15-17, 2005. Proceedings
- Algorithms For Dummies
- Proofs and Algorithms: An Introduction to Logic and Computability (Undergraduate Topics in Computer Science)
Extra resources for Word Sense Disambiguation: Algorithms and Applications
How to divide senses still remains one of the main open problems of WSD. As discussed in this chapter and throughout the book (see especially Chaps. 2, 3, and 4), semantic granularity is not well understood, and the relation to specific applications is unexplored territory. Given the state of the art, coarse-grained differences could allow for performance closer to an application’s needs. Evaluation. The first Senseval was held at about the time Ide and Véronis (1998) was published. As mentioned above, Senseval’s common evaluation framework has focused research, enabled scientific rigor, and generated substantial resources.
2005. Word sense disambiguation vs. statistical machine translation. Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL), Ann Arbor, Michigan, 387–394. Chapman, Robert. 1977. Roget’s International Thesaurus (Fourth Edition). New York: Harper and Row. Chlovski, Timothy & Rada Mihalcea. 2002. Building a sense tagged corpus with Open Mind Word Expert. Proceedings of the Workshop on Word Sense Disambiguation: Recent Successes and Future Directions, Philadelphia, PA, USA, 116–122.
WSD as an Optimization Problem. Current WSD systems disambiguate texts one word at a time, treating each word in isolation. It is clear though that meanings are interdependent and the disambiguation of a word can affect others in its context. , Lesk (1986) and Cowie et al. (1992)). The interdependencies among senses in the context could be modeled and treated as an optimization problem (in contrast to the classification model of WSD). Applying Deeper Linguistic Knowledge. Significant advances in the performance of current supervised WSD systems could rely on enriched feature representations based on deeper linguistic knowledge, rather than better learning algorithms.
Word Sense Disambiguation: Algorithms and Applications by Associate Professor Eneko Agirre (auth.), Associate Professor Eneko Agirre, Research Scientist Philip Edmonds (eds.)