Ted Pedersen - Supervised Word Sense Disambiguation.
The correct sense of an ambiguous word can be selected based on the context where it occurs, and correspondingly the problem of word sense disambiguation is defined as the task of automatically assigning the most appropriate meaning to a polysemous word within a given context.
Word Sense Disambiguation - First Class Dissertations.
Recent dissertation topics. A small sample of recent dissertation topics, broken down by subject: Phonetics and Phonology. Variation in Voice Onset Time (VOT) on the Scottish and English Border: An Analysis of Conversational Data; Clicks in Chilean Spanish Conversation; The perception of phonological variation in the York vowel system; Luxembourgish-Speakers' Attitude toward Luxembourgish.
Parallel corpora make sense: Bypassing the knowledge.
Due to the intrinsic ambiguity of a natural language the word sense disambiguation or WSD is a challenging task. The paper uses WordNet for (WSD) for that purpose. Unlike many others approaches on that area it exploits the structure of WordNet in an indirect manner. To disambiguate the words it measures the semantic similarity of the words glosses. The similarity is calculated using the.
Word Sense Disambiguation of Swahili: Extending Swahili.
Supervised Word Sense Disambiguation Publications 2016 Adam Kilgarriff's Legacy to Computational Linguistics and Beyond (Evans, Gelbukh, Grefenstette, Hanks, Jakubicek, McCarthy, Palmer, Pedersen, Rundell, Rychly, Sharoff, Tugwell) Appears in the Proceedings of the 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING 2016), April 2016, Konya, Turkey.
Faculty of Modern and Medieval Languages and Linguistics.
Current Position: Loyola Dissertation: High-performance Word Sense Disambiguation with Less Manual Effort (2010) Advisor: Martha Palmer Da Cheong (Jena) Hwang Linguistics.
Adjusting Sense Representations for Word Sense.
We present a multilingual approach to Word Sense Disambiguation (WSD), which automatically assigns the contextually appropriate sense to a given word. Instead of using a predefined monolingual sense-inventory, we use a language-independent framework by deriving the senses of a given word from word alignments on a multilingual parallel corpus, which we made available for corpus linguistics.
Word sense disambiguation (Book, 1980) (WorldCat.org).
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Supervised Word Sense Disambiguation: Facing Current.
DKPro WSD: DKPro WSD is a modular, extensible Java framework for word sense disambiguation. It is based on Apache UIMA, an industry standard for text processing. GATE: General Architecture for Text Engineering. A domain-specific software architecure and development environment that supports researchers in Natural Language Processing and Computational Linguistics and developers who are.
Word Sense Disambiguation of Farsi Homographs Using.
Taher completed his PhD in 2015 under the supervision of Prof. Roberto Navigli in the Sapienza Univeristy of Rome. Taher’s research lies in lexical semantics, mainly focusing on semantic representation, semantic similarity, ontology construction and enrichment, and Word Sense Disambiguation.
Word Sense Disambiguation Within a Multilingual Framework.
In computational linguistics, word-sense disambiguation (WSD) is an open problem of natural language processing and ontology. WSD is identifying which sense of a word (i.e., meaning) is used in a sentence, when the word has multiple meanings. Learn more in: Effective Entity Linking and Disambiguation Algorithms for User-Generated Content (UGC).
Word Sense Disambiguation: The Case for Combinations of.
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US7024407B2 - Word sense disambiguation - Google Patents.
If an examiner has reason to believe that a dissertation has exceeded the word limit and thus infringed the rubric, they will ask the Faculty Office to ascertain the exact word count. One mark will be deducted for every 100 words above the word limit. Examining the dissertation. The dissertation is normally marked by the examiners in the relevant area of linguistics at the same time as normal.