Papers by Eleni Miltsakaki
Simplification Using Paraphrases and Context-Based Lexical Substitution (N18-1)
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| Challenge: | Lexical simplification involves identifying complex words or phrases that need to be simplified and suggesting simpler meaning-preserving substitutes. |
| Approach: | They propose a complex word identification model that exploits both lexical and contextual features and a word-embedding lexical substitution model to replace the detected complex words with simpler paraphrases. |
| Outcome: | The proposed model detects complex words with higher accuracy than other models and proposes good substitutes in context. |
Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification (N19-1)
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Reno Kriz, João Sedoc, Marianna Apidianaki, Carolina Zheng, Gaurav Kumar, Eleni Miltsakaki, Chris Callison-Burch
| Challenge: | Recent research has applied sequence-to-sequence (Seq2Sequen) models to text simplification . generic models tend to copy directly from the original sentence, resulting in outputs that are long and complex. |
| Approach: | They propose to incorporate word complexities into the loss function during training and generate a large set of diverse candidate simplifications at test time. |
| Outcome: | The proposed model can perform competitively with state-of-the-art systems while generating simpler sentences. |
A Feasibility Study of Answer-Agnostic Question Generation for Education (2022.findings-acl)
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Liam Dugan, Eleni Miltsakaki, Shriyash Upadhyay, Etan Ginsberg, Hannah Gonzalez, DaHyeon Choi, Chuning Yuan, Chris Callison-Burch
| Challenge: | a feasibility study into the applicability of answer-agnostic question generation models to textbook passages is conducted . a significant portion of errors arise from asking irrelevant or un-interpretable questions, a study finds . |
| Approach: | They conduct a feasibility study into the applicability of answer-agnostic question generation models to textbook passages. |
| Outcome: | The proposed model reduces the time it takes to write questions that target salient concepts . the proposed model would help professors write quizzes faster and help students stay engaged . |