Results 91 to 100 of about 83,244 (255)

Lexical Chain dan Word Sense Disambiguation Untuk Peringkasan Artikel Berbahasa Indonesia

Techno.Com, 2017
Text Summarization adalah sebuah proses untuk menghasilkan ringkasan suatu dokumen dengan  tidak menghilangkan informasi utama dari artikel. Ada beberapa metode untuk melakukan peringkasan, seperti metode rantai leksikal atau lexical chain yang memiliki ...
Dika Muhammad Fazar, Nelly Indriani Widiastuti   +1 more
doaj  

CSI: A Coarse Sense Inventory for 85% Word Sense Disambiguation

AAAI Conference on Artificial Intelligence, 2020
Word Sense Disambiguation (WSD) is the task of associating a word in context with one of its meanings. While many works in the past have focused on raising the state of the art, none has even come close to achieving an F-score in the 80% ballpark when ...
Caterina Lacerra, Michele Bevilacqua, Tommaso Pasini, Roberto Navigli   +3 more
semanticscholar   +1 more source

Error driven word sense disambiguation [PDF]

Proceedings of the 36th annual meeting on Association for Computational Linguistics -, 1998
In this paper we describe a method for performing word sense disambiguation (WSD). The method relies on unsupervised learning and exploits functional relations among words as produced by a shallow parser. By exploiting an error driven rule learning algorithm (Brill 1997), the system is able to produce rules for WSD, which can be optionally edited by ...
Luca Dini, Vittorio Di Tomaso, Frédérique Segond   +2 more
openaire   +3 more sources

Word Sense Disambiguation Based on RegNet With Efficient Channel Attention and Dilated Convolution

IEEE Access, 2023
Word sense disambiguation (WSD) is one of key problems in field of natural language processing. Ambiguous word often has different meanings in different contexts.
Chun-Xiang Zhang, Ya-Li Shao, Xue-Yao Gao   +2 more
doaj   +1 more source

MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation

International Joint Conference on Artificial Intelligence, 2020
The knowledge acquisition bottleneck strongly affects the creation of multilingual sense-annotated data, hence limiting the power of supervised systems when applied to multilingual Word Sense Disambiguation.
Edoardo Barba, Luigi Procopio, Niccolò Campolungo, Tommaso Pasini, Roberto Navigli   +4 more
semanticscholar   +1 more source

A Synset Relation-enhanced Framework with a Try-again Mechanism for Word Sense Disambiguation

Conference on Empirical Methods in Natural Language Processing, 2020
Contextual embeddings are proved to be overwhelmingly effective to the task of Word Sense Disambiguation (WSD) compared with other sense representation techniques. However, these embeddings fail to embed sense knowledge in semantic networks.
Ming Wang, Yinglin Wang
semanticscholar   +1 more source

Using Linked Disambiguated Distributional Networks for Word Sense Disambiguation [PDF]

Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications, 2017
We introduce a new method for unsupervised knowledge-based word sense disambiguation (WSD) based on a resource that links two types of sense-aware lexical networks: one is induced from a corpus using distributional semantics, the other is manually constructed.
Alexander Panchenko, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann   +3 more
openaire   +3 more sources

Evaluating Feature Extraction Methods for Biomedical Word Sense Disambiguation [PDF]

, 2017
Evaluating Feature Extraction Methods for Biomedical WSD Clint Cuffy, Sam Henry and Bridget McInnes, PhD Virginia Commonwealth University, Richmond, Virginia, USA Introduction.
Cuffy, Clint A, Henry, Sam, McInnes, Bridget T   +2 more
core   +2 more sources

Try to Substitute: An Unsupervised Chinese Word Sense Disambiguation Method Based on HowNet

International Conference on Computational Linguistics, 2020
Word sense disambiguation (WSD) is a fundamental natural language processing task. Unsupervised knowledge-based WSD only relies on a lexical knowledge base as the sense inventory and has wider practical use than supervised WSD that requires a mass of ...
Bairu Hou, Fanchao Qi, Yuan Zang, Xurui Zhang, Zhiyuan Liu, Maosong Sun   +5 more
semanticscholar   +1 more source

Sense Unveiled: Enhancing Urdu Corpus for Nuanced Word Sense Disambiguation

IEEE Access
Ambiguity in word meanings presents a significant challenge in natural language processing, necessitating robust techniques for Word Sense Disambiguation (WSD).
Sarfraz Bibi, Sohail Asghar, Muhammad Zubair   +2 more
doaj   +1 more source