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cs.CL2022
Unsupervised Alignment of Distributional Word Embeddings
Aissatou Diallo, Johannes Fürnkranz
Cross-domain alignment play a key roles in tasks ranging from machine translation to transfer learning. Recently, purely unsupervised methods operating on monolingual embeddings ha…
cs.CL2022
GausSetExpander: A Simple Approach for Entity Set Expansion
Aïssatou Diallo, Johannes Fürnkranz
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…
cs.CL2019★ 6 cited
Learning Analogy-Preserving Sentence Embeddings for Answer Selection
Aissatou Diallo, Markus Zopf, Johannes Fürnkranz
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 sem…