gambit -- An Open Source Name Disambiguation Tool for Version Control Systems [PDF]
arXiv, 2021 Name disambiguation is a complex but highly relevant challenge whenever analysing real-world user data, such as data from version control systems. We propose gambit, a rule-based disambiguation tool that only relies on name and email information. We evaluate its performance against two commonly used algorithms with similar characteristics on manually ...
arxiv
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 +1 more
doaj
Unsupervised Word-Sense Disambiguation for Product Description Texts [PDF]
, 2020 As the name suggests, word-sense disambiguation is the task of determining the correct meaning, or sense, of words that can have multiple interpretations.
Dahlberg, Andreas, Olin, Oskar
core +1 more source
Evaluation of Linguistic Features for Word Sense Disambiguation with Self-Organized Document Maps [PDF]
, 2004 Word sense disambiguation automatically determines the appropriate senses of a word in context. We have previously shown that self-organized document maps have properties similar to a large-scale semantic structure that is useful for word sense ...
Linden, Krister
core +1 more source
SupWSD: a flexible toolkit for supervised word sense disambiguation [PDF]
, 2017 In this demonstration we present SupWSD, a Java API for supervised Word Sense Disambiguation (WSD). This toolkit includes the implementation of a state-of-the-art supervised WSD system, together with a Natural Language Processing pipeline for ...
DELLI BOVI, Claudio +2 more
core +1 more source
Analysis and Evaluation of Language Models for Word Sense Disambiguation
Computational Linguistics, 2021 Transformer-based language models have taken many fields in NLP by storm. BERT and its derivatives dominate most of the existing evaluation benchmarks, including those for Word Sense Disambiguation (WSD), thanks to their ability in capturing context ...
Daniel Loureiro +3 more
doaj +1 more source
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 +2 more
doaj +1 more source
Network Cooperation with Progressive Disambiguation for Partial Label Learning [PDF]
arXiv, 2020 Partial Label Learning (PLL) aims to train a classifier when each training instance is associated with a set of candidate labels, among which only one is correct but is not accessible during the training phase. The common strategy dealing with such ambiguous labeling information is to disambiguate the candidate label sets. Nonetheless, existing methods
arxiv
Two-word and Three-word Disambiguation Rules for Telugu Language Sentences: A Practical Approach [PDF]
, 2014 This paper describes Two-word and Three-word Disambiguation Rules for Telugu language sentences, which are written in WX-notation. Generally in real life good number of words, which are having many meanings.
J. Sreedhar
core +1 more source
A Supervised Word Sense Disambiguation Method Using Ontology and Context Knowledge [PDF]
, 2012 Word Sense Disambiguation is one of the basic tasks in Natural language processing. It is the method of selecting the correct sense of the word in the given context. It is applied whenever a semantic understanding of text is needed.
Agrawal, Avinash, Kasture, Neha R.
core +1 more source