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41
Parameter space factorization for zero-shot learning across tasks and languages ...
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42
Higher-order Derivatives of Weighted Finite-state Machines ...
Zmigrod, Ran; Vieira, Tim; Cotterell, Ryan. - : ETH Zurich, 2021
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43
Is Sparse Attention more Interpretable? ...
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44
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs ...
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45
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs ...
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46
How (Non-)Optimal is the Lexicon? ...
Abstract: The mapping of lexical meanings to wordforms is a major feature of natural languages. While usage pressures might assign short words to frequent meanings (Zipf's law of abbreviation), the need for a productive and open-ended vocabulary, local constraints on sequences of symbols, and various other factors all shape the lexicons of the world's languages. Despite their importance in shaping lexical structure, the relative contributions of these factors have not been fully quantified. Taking a coding-theoretic view of the lexicon and making use of a novel generative statistical model, we define upper bounds for the compressibility of the lexicon under various constraints. Examining corpora from 7 typologically diverse languages, we use those upper bounds to quantify the lexicon's optimality and to explore the relative costs of major constraints on natural codes. We find that (compositional) morphology and graphotactics can sufficiently account for most of the complexity of natural codes -- as measured by code ... : Tiago Pimentel and Irene Nikkarinen contributed equally to this work. Accepted at NAACL 2021. This is the camera ready version ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2104.14279
https://arxiv.org/abs/2104.14279
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47
Disambiguatory Signals are Stronger in Word-initial Positions ...
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48
A Cognitive Regularizer for Language Modeling ...
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49
Multimodal pretraining unmasked: A meta-analysis and a unified framework of vision-and-language berts
In: Transactions of the Association for Computational Linguistics, 9 (2021)
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50
Modeling the Unigram Distribution
In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021)
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51
On Finding the K-best Non-projective Dependency Trees
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (2021)
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52
Higher-order Derivatives of Weighted Finite-state Machines
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (2021)
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53
Efficient computation of expectations under spanning tree distributions
In: Transactions of the Association for Computational Linguistics, 9 (2021)
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54
Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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55
What About the Precedent: An Information-Theoretic Analysis of Common Law
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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56
Applying the Transformer to Character-level Transduction
In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2021)
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57
Classifying Dyads for Militarized Conflict Analysis
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
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58
Finding Concept-specific Biases in Form–Meaning Associations
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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59
Efficient Sampling of Dependency Structure
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
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60
A Non-Linear Structural Probe
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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