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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? ...
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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)
Abstract: The unigram distribution is the non-contextual probability of finding a specific word form in a corpus. While of central importance to the study of language, it is commonly approximated by each word’s sample frequency in the corpus. This approach, being highly dependent on sample size, assigns zero probability to any out-of-vocabulary (oov) word form. As a result, it produces negatively biased probabilities for any oov word form, while positively biased probabilities to in corpus words. In this work, we argue in favor of properly modeling the unigram distribution—claiming it should be a central task in natural language processing. With this in mind, we present a novel model for estimating it in a language (a neuralization of Goldwater et al.’s (2011) model) and show it produces much better estimates across a diverse set of 7 languages than the naïve use of neural character-level language models.
URL: https://hdl.handle.net/20.500.11850/518989
https://doi.org/10.3929/ethz-b-000518989
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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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