most citedThe Emergence of Chunking Structures with Hierarchical RNN

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cs.CL20253 cited

The Emergence of Chunking Structures with Hierarchical RNN

Zijun Wu, Anup Anand Deshmukh, Yongkang Wu +2

In Natural Language Processing (NLP), predicting linguistic structures, such as parsing and chunking, has mostly relied on manual annotations of syntactic structures. This paper in…

cs.CL2025

Feeding Two Birds or Favoring One? Adequacy-Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation

Behzad Shayegh, Jan-Thorsten Peter, David Vilar +4

We investigate the tradeoff between adequacy and fluency in machine translation. We show the severity of this tradeoff at the evaluation level and analyze where popular metrics fal…

cs.CL2025

Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing

Behzad Shayegh, Hobie H. -B. Lee, Xiaodan Zhu +2

We address unsupervised dependency parsing by building an ensemble of diverse existing models through post hoc aggregation of their output dependency parse structures. We observe t…

cs.CL2025

EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation

Yuqiao Wen, Behzad Shayegh, Chenyang Huang +2

The ability of zero-shot translation emerges when we train a multilingual model with certain translation directions; the model can then directly translate in unseen directions. Alt…

cs.CL2024

Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing

Behzad Shayegh, Yuqiao Wen, Lili Mou

We address unsupervised discontinuous constituency parsing, where we observe a high variance in the performance of the only previous model in the literature. We propose to build an…

cs.CL2024

Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models

Zijun Wu, Yongkang Wu, Lili Mou

Prompt tuning in natural language processing (NLP) has become an increasingly popular method for adapting large language models to specific tasks. However, the transferability of t…