Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Diallo Aissatou"'
Cooking recipes are one of the most readily available kinds of procedural text. They consist of natural language instructions that can be challenging to interpret. In this paper, we propose a model to identify relevant information from recipes and ge
Externí odkaz:
http://arxiv.org/abs/2401.12088
Understanding procedural texts, such as cooking recipes, is essential for enabling machines to follow instructions and reason about tasks, a key aspect of intelligent reasoning. In cooking, these instructions can be interpreted as a series of modific
Externí odkaz:
http://arxiv.org/abs/2401.06930
Whilst cooking is a very important human activity, there has been little consideration given to how we can formalize recipes for use in a reasoning framework. We address this need by proposing a graphical formalization that captures the comestibles (
Externí odkaz:
http://arxiv.org/abs/2306.09042
Autor:
Diallo, Aissatou, Fürnkranz, Johannes
Cross-domain alignment play a key roles in tasks ranging from machine translation to transfer learning. Recently, purely unsupervised methods operating on monolingual embeddings have successfully been used to infer a bilingual lexicon without relying
Externí odkaz:
http://arxiv.org/abs/2203.04863
Autor:
Diallo, Aïssatou, Fürnkranz, Johannes
Entity Set Expansion is an important NLP task that aims at expanding a small set of entities into a larger one with items from a large pool of candidates. In this paper, we propose GausSetExpander, an unsupervised approach based on optimal transport
Externí odkaz:
http://arxiv.org/abs/2202.13649
Autor:
Diallo, Aïssatou, Fürnkranz, Johannes
Ordinal embedding aims at finding a low dimensional representation of objects from a set of constraints of the form "item $j$ is closer to item $i$ than item $k$". Typically, each object is mapped onto a point vector in a low dimensional metric space
Externí odkaz:
http://arxiv.org/abs/2105.10457
Autor:
Delamou, Alexandre, Douno, Moussa, El Ayadi, Alison M., Diallo, Aissatou, Delvaux, Thérèse, De Brouwere, Vincent
Publikováno v:
African Journal of Reproductive Health / La Revue Africaine de la Santé Reproductive, 2022 Aug 01. 26(8), 30-40.
Externí odkaz:
https://www.jstor.org/stable/27231584
Publikováno v:
Proc. CoNLL 2019: 910-919
Answer selection aims at identifying the correct answer for a given question from a set of potentially correct answers. Contrary to previous works, which typically focus on the semantic similarity between a question and its answer, our hypothesis is
Externí odkaz:
http://arxiv.org/abs/1910.05315
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