Aslı Çelikyılmaz
8 papers in the PaperMetrix corpus
Papers by this author
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Learning Compressed Sentence Representations for On-Device Text Processing
2019 · arXiv (Cornell University)
Vector representations of sentences, trained on massive text corpora, are widely used as generic sentence embeddings across a variety of NLP problems. The learned representations are generally assumed to be continuous and real-valued, giving rise …
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A Review on Language Models as Knowledge Bases
2022 · arXiv (Cornell University)
Recently, there has been a surge of interest in the NLP community on the use of pretrained Language Models (LMs) as Knowledge Bases (KBs). Researchers have shown that LMs trained on a sufficiently large (web) …
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Deep Communicating Agents for Abstractive Summarization
2018
Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). 2018.
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Cyclical Annealing Schedule: A Simple Approach to Mitigating
2019
Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and …
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COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
2019
We present the first comprehensive study on automatic knowledge base construction for two prevalent commonsense knowledge graphs: ATOMIC Contrary to many conventional KBs that store knowledge with canonical templates, commonsense KBs only store loosely structured …
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Evaluation of Text Generation: A Survey
2020 · arXiv (Cornell University)
The paper surveys evaluation methods of natural language generation (NLG) systems that have been developed in the last few years. We group NLG evaluation methods into three categories: (1) human-centric evaluation metrics, (2) automatic metrics …
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QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
2021
Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir Radev. Proceedings of the 2021 Conference of the North American Chapter of the …
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OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization
2022 · arXiv (Cornell University)
Recent work has shown that fine-tuning large pre-trained language models on a collection of tasks described via instructions, a.k.a. instruction-tuning, improves their zero and few-shot generalization to unseen tasks. However, there is a limited understanding …