Results 91 to 100 of about 22,651 (201)
A graph based named entity disambiguation using clique partitioning and semantic relatedness
Disambiguating name mentions in texts is a crucial task in Natural Language Processing, especially in entity linking. The credibility and efficiency of such systems depend largely on this task.
Belazzoug, M., Meziane, F., Belalta, R.
core +1 more source
STRIDER: a Versatile System for Structural Disambiguation
We present STRIDER, a versatile system for the disambiguation of structure-based information like XML schemas, structures of XML documents and web directories.
E. RONCHETTI +5 more
core +1 more source
Graph positive-unlabeled learning via Bootstrapping Label Disambiguation
Graph positive-unlabeled learning is an important task that tries to learn binary classification models from only positive and unlabeled (PU) nodes. While state-of-the-art methods focus on training graph neural networks, they frequently rely on weak ...
Zhang, Hongming +6 more
core +1 more source
Disambiguating the bisphosphonates
van den Wyngaert, T. +2 more
openaire +3 more sources
To address the limitations of existing methods of short-text entity disambiguation, specifically in terms of their insufficient feature extraction and reliance on massive training samples, we propose an entity disambiguation model called COLBERT, which ...
Qishun Mei, Xuhui Li
doaj +1 more source
Acronym-Expansion Disambiguation for Interlligent Processing of Enterprise Information
An acronym is an abbreviation of several words in such a way that the abbreviation itself forms a pronounceable word. Acronyms occur frequently throughout various documents, especially those of a technical nature, for example, research papers and patents.
김진형 +5 more
core
Disambiguating vision with sound
An important task for the visual system is to identify and segregate objects from background. Figure-ground illusions, such as Edgar Rubin's bistable 'vase-faces illusion'1, make the point clearly: we see either a central vase or lateral faces, alternating spontaneously, but never both images simultaneously.
Gori, Monica +2 more
openaire +2 more sources
Capturing lexical variation in MT evaluation using automatically built sense-cluster inventories [PDF]
The strict character of most of the existing Machine Translation (MT) evaluation metrics does not permit them to capture lexical variation in translation.
He, Yifan +2 more
core
An automatic method for the lexical disambiguation of names [PDF]
Este artículo presenta un método completamente automático que resuelve la desambiguación léxica de nombres calculando la densidad conceptual de cada uno de los sentidos del nombre a desambiguar.
Masulli, Francesco +2 more
core
Determinants of visual ambiguity resolution. [PDF]
Linde-Domingo J +4 more
europepmc +2 more sources

