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04/19/2022
Multilingual Syntax-aware Language Modeling through Dependency Tree Conversion
Incorporating stronger syntactic biases into neural language models (LMs...
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09/10/2021
Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars
In computational linguistics, it has been shown that hierarchical struct...
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05/31/2021
Effective Batching for Recurrent Neural Network Grammars
As a language model that integrates traditional symbolic operations and ...
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10/20/2020
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters
Due to the compelling improvements brought by BERT, many recent represen...
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04/06/2020
An analysis of the utility of explicit negative examples to improve the syntactic abilities of neural language models
We explore the utilities of explicit negative examples in training neura...
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07/23/2019
Learning to Select, Track, and Generate for Data-to-Text
We propose a data-to-text generation model with two modules, one for tra...
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06/05/2019
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation
We propose a new domain adaptation method for Combinatory Categorial Gra...
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11/15/2018
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference
In logic-based approaches to reasoning tasks such as Recognizing Textual...
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04/19/2018
Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning
In formal logic-based approaches to Recognizing Textual Entailment (RTE)...
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04/23/2017
A* CCG Parsing with a Supertag and Dependency Factored Model
We propose a new A* CCG parsing model in which the probability of a tree...
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08/01/2016