Results 1 to 10 of about 8,669 (85)
Semantic Data Set Construction from Human Clustering and Spatial Arrangement
Computational Linguistics, 2021 Research into representation learning models of lexical semantics usually utilizes some form of intrinsic evaluation to ensure that the learned representations reflect human semantic judgments.
Olga Majewska +5 more
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Revisiting Multi-Domain Machine Translation
Transactions of the Association for Computational Linguistics, 2021 When building machine translation systems, one often needs to make the best out of heterogeneous sets of parallel data in training, and to robustly handle inputs from unexpected domains in testing. This multi-domain scenario has attracted a lot of recent
MinhQuang Pham +2 more
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Transactions of the Association for Computational Linguistics, 2021 Answering questions that involve multi-step reasoning requires decomposing them and using the answers of intermediate steps to reach the final answer.
Ben Bogin +3 more
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Morphology Matters: A Multilingual Language Modeling Analysis
Transactions of the Association for Computational Linguistics, 2021 Prior studies in multilingual language modeling (e.g., Cotterell et al., 2018; Mielke et al., 2019) disagree on whether or not inflectional morphology makes languages harder to model. We attempt to resolve the disagreement and extend those studies.
Hyunji Hayley Park +5 more
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Transactions of the Association for Computational Linguistics, 2021 We propose the Recursive Non-autoregressive Graph-to-Graph Transformer architecture (RNGTr) for the iterative refinement of arbitrary graphs through the recursive application of a non-autoregressive Graph-to-Graph Transformer and apply it to syntactic ...
Alireza Mohammadshahi, James Henderson
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Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference
Transactions of the Association for Computational Linguistics, 2022 We introduce a neuro-symbolic natural logic framework based on reinforcement learning with introspective revision. The model samples and rewards specific reasoning paths through policy gradient, in which the introspective revision algorithm modifies ...
Yufei Feng +3 more
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Natural Language Processing JournalContext:: Utilizing pretrained language models (PLMs) has become common practice in maintaining the content quality of question-answering (Q&A) websites. However, evaluating the effectiveness of PLMs poses a challenge as they tend to provide local optima
Pak Yuen Patrick Chan, Jacky Keung
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Hawk: An industrial-strength multi-label document classifier
Natural Language Processing JournalThere are a plethora of methods for solving the classical multi-label document classification problem. However, when it comes to deployment and usage in an industry setting, most if not all the contemporary approaches fail to address some of the vital ...
Arshad Javeed
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Persian readability classification using DeepWalk and tree-based ensemble methods
Natural Language Processing JournalThe Readability Classification (Difficulty classification) problem is the task of assessing the readability of text by categorizing it into different levels or classes based on its difficulty to understand.
Mohammad Mahmoodi Varnamkhasti
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Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation
Transactions of the Association for Computational Linguistics, 2019 Speech translation has traditionally been approached through cascaded models consisting of a speech recognizer trained on a corpus of transcribed speech, and a machine translation system trained on parallel texts.
Sperber, Matthias +3 more
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