Papers by Lutfi Kerem Senel
Does She Wink or Does She Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models (2021.eacl-main)
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| Challenge: | Existing probing datasets focus on knowledge about relations between words and entities. |
| Approach: | They propose a new probing task to evaluate word understanding directly using dictionary definitions of words. |
| Outcome: | The proposed task evaluates word understanding directly using dictionary definitions of words. |
Graph Algorithms for Multiparallel Word Alignment (2021.emnlp-main)
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Ayyoob ImaniGooghari, Masoud Jalili Sabet, Lutfi Kerem Senel, Philipp Dufter, François Yvon, Hinrich Schütze
| Challenge: | Word alignments are useful for typological research and can be used in machine translation systems. |
| Approach: | They propose to exploit the multiparallelity of parallel corpora by representing bilingual alignments as a graph and then predicting additional edges. |
| Outcome: | The proposed algorithm improves the accuracy of bilingual alignments by 28% over baseline algorithms. |