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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 11 of 11 1 Transforming Sequence Tagging Into A Seq2Seq Task ... Raman, Karthik; Naim, Iftekhar; Chen, Jiecao; Hashimoto, Kazuma; Yalasangi, Kiran; Srinivasan, Krishna. - : arXiv, 2022 Abstract: Pretrained, large, generative language models (LMs) have had great success in a wide range of sequence tagging and structured prediction tasks. Casting a sequence tagging task as a Seq2Seq one requires deciding the formats of the input and output sequences. However, we lack a principled understanding of the trade-offs associated with these formats (such as the effect on model accuracy, sequence length, multilingual generalization, hallucination). In this paper, we rigorously study different formats one could use for casting input text sentences and their output labels into the input and target (i.e., output) of a Seq2Seq model. Along the way, we introduce a new format, which we show to not only be simpler but also more effective. Additionally the new format demonstrates significant gains in the multilingual settings -- both zero-shot transfer learning and joint training. Lastly, we find that the new format is more robust and almost completely devoid of hallucination -- an issue we find common in existing ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2203.08378 https://dx.doi.org/10.48550/arxiv.2203.08378 BASE Hide details 2 Focused Attention Improves Document-Grounded Generation ... Prabhumoye, Shrimai; Hashimoto, Kazuma; Zhou, Yingbo. - : arXiv, 2021 BASE Show details 3 A High-Quality Multilingual Dataset for Structured Documentation Translation ... Hashimoto, Kazuma; Buschiazzo, Raffaella; Bradbury, James. - : arXiv, 2020 BASE Show details 4 Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking ... The 28th International Conference on Computational Linguistics 2020; Hashimoto, Kazuma; Socher, Richard. - : Underline Science Inc., 2020 BASE Show details 5 Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking ... Zhang, Jian-Guo; Hashimoto, Kazuma; Wu, Chien-Sheng. - : arXiv, 2019 BASE Show details 6 Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering ... Asai, Akari; Hashimoto, Kazuma; Hajishirzi, Hannaneh. - : arXiv, 2019 BASE Show details 7 Multilingual Extractive Reading Comprehension by Runtime Machine Translation ... Asai, Akari; Eriguchi, Akiko; Hashimoto, Kazuma. - : arXiv, 2018 BASE Show details 8 Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings ... Hashimoto, Kazuma; Tsuruoka, Yoshimasa. - : arXiv, 2016 BASE Show details 9 Tree-to-Sequence Attentional Neural Machine Translation ... Eriguchi, Akiko; Hashimoto, Kazuma; Tsuruoka, Yoshimasa. - : arXiv, 2016 BASE Show details 10 A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks ... Hashimoto, Kazuma; Xiong, Caiming; Tsuruoka, Yoshimasa. - : arXiv, 2016 BASE Show details 11 Task-Oriented Learning of Word Embeddings for Semantic Relation Classification ... Hashimoto, Kazuma; Stenetorp, Pontus; Miwa, Makoto. - : arXiv, 2015 BASE Show details

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