Results 101 to 110 of about 82,228 (264)

Concentration in cross‐border research collaborations and MNCs' knowledge creation in a host country

open access: yesStrategic Management Journal, EarlyView.
Abstract Research Summary This study elucidates the previously underexplored structural heterogeneity inherent in multinational corporations' (MNCs) internal linkages by examining the concentration of cross‐border collaborations among inventors within host countries.
Jingjing Zhang   +3 more
wiley   +1 more source

Word Sense Disambiguation with THESSOM [PDF]

open access: yes, 2003
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  

Word sense disambiguation: a complex network approach

open access: yes, 2018
In recent years, concepts and methods of complex networks have been employed to tackle the word sense disambiguation (WSD) task by representing words as nodes, which are connected if they are semantically similar.
Amancio, Diego R.   +2 more
core   +1 more source

Exploring a Systems Engineering Approach to Modelling Human Communication

open access: yesSystems Research and Behavioral Science, EarlyView.
ABSTRACT Communication is a crucial process for any successful purposeful human activity system as it mediates the information‐based relationships between a system's elements and parts, purpose(s) and boundaries. Human communication is more than just a process; it is a subsystem that interacts with other human activity systems, parts, elements and ...
Ryan Hekker   +2 more
wiley   +1 more source

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

open access: yesProceedings 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   +3 more
openaire   +3 more sources

Nomenclature and typification of sectional names in Carex (Cyperaceae)

open access: yesTAXON, EarlyView.
Abstract This paper presents an updated survey of all the published names at the section rank in Carex and its formerly accepted satellite genera. We included related names at other ranks when relevant. We address validity, legitimacy, priority, typification, and – if relevant – synonymy.
Pedro Jiménez‐Mejías   +6 more
wiley   +1 more source

Word Sense Disambiguation by Web Mining for Word Co-occurrence Probabilities [PDF]

open access: yes, 2004
This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample (ELS) task in Senseval-3.
Turney, Peter D.
core   +2 more sources

MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation

open access: yesInternational 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   +4 more
semanticscholar   +1 more source

Personal Investment in Language Processing: The Role of Self‐Reference in Initial Lexical Acquisition

open access: yesTESOL Quarterly, EarlyView.
Abstract Recent research on learner factors in task‐based language teaching (TBLT) has demonstrated positive effects for treatments that draw on learners' personal experiences. However, the specific processes responsible for these effects are not well understood.
Taghreed Qahl, Craig Lambert
wiley   +1 more source

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

open access: yesConference 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

Home - About - Disclaimer - Privacy