Zobrazeno 1 - 10
of 669
pro vyhledávání: '"Weeds, A"'
Autor:
Perveen, Huma, Weeds, Julie
Proteins are essential to numerous biological functions, with their sequences determining their roles within organisms. Traditional methods for determining protein function are time-consuming and labor-intensive. This study addresses the increasing d
Externí odkaz:
http://arxiv.org/abs/2409.04491
It is widely accepted that so-called facts can be checked by searching for information on the Internet. This process requires a fact-checker to formulate a search query based on the fact and to present it to a search engine. Then, relevant and believ
Externí odkaz:
http://arxiv.org/abs/2303.08652
In the field of dream research, the study of dream content typically relies on the analysis of verbal reports provided by dreamers upon awakening from their sleep. This task is classically performed through manual scoring provided by trained annotato
Externí odkaz:
http://arxiv.org/abs/2302.14828
Previous works have demonstrated the effectiveness of utilising pre-trained sentence encoders based on their sentence representations for meaning comparison tasks. Though such representations are shown to capture hidden syntax structures, the direct
Externí odkaz:
http://arxiv.org/abs/2210.05302
The exploitation of syntactic graphs (SyGs) as a word's context has been shown to be beneficial for distributional semantic models (DSMs), both at the level of individual word representations and in deriving phrasal representations via composition. H
Externí odkaz:
http://arxiv.org/abs/2106.01904
The automatic detection of hypernymy relationships represents a challenging problem in NLP. The successful application of state-of-the-art supervised approaches using distributed representations has generally been impeded by the limited availability
Externí odkaz:
http://arxiv.org/abs/2005.01854
Publikováno v:
HEALTHINF 2020
This research on data extraction methods applies recent advances in natural language processing to evidence synthesis based on medical texts. Texts of interest include abstracts of clinical trials in English and in multilingual contexts. The main foc
Externí odkaz:
http://arxiv.org/abs/2001.11268
Publikováno v:
In Ecological Informatics July 2023 75
Count-based distributional semantic models suffer from sparsity due to unobserved but plausible co-occurrences in any text collection. This problem is amplified for models like Anchored Packed Trees (APTs), that take the grammatical type of a co-occu
Externí odkaz:
http://arxiv.org/abs/1704.06692
In this paper, we investigate whether an a priori disambiguation of word senses is strictly necessary or whether the meaning of a word in context can be disambiguated through composition alone. We evaluate the performance of off-the-shelf single-vect
Externí odkaz:
http://arxiv.org/abs/1702.06696