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Found 11 papers, 5 papers with code
Automatically Discarding Straplines to Improve Data Quality for Abstractive News Summarization
Automatic evaluation indicates that removing straplines and noise from the training data of a news summarizer results in higher quality summaries, with improvements as high as 7 points ROUGE score.
Cache & Distil: Optimising API Calls to Large Language Models
To curtail the frequency of these calls, one can employ a smaller language model -- a student -- which is continuously trained on the responses of the LLM.
Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation
Strong inductive biases enable learning from little data and help generalization outside of the training distribution.
Compositional Generalization without Trees using Multiset Tagging and Latent Permutations
Our model outperforms pretrained seq2seq models and prior work on realistic semantic parsing tasks that require generalization to longer examples.
Compositional Generalisation with Structured Reordering and Fertility Layers
Seq2seq models have been shown to struggle with compositional generalisation, i. e. generalising to new and potentially more complex structures than seen during training.
Fast semantic parsing with well-typedness guarantees
AM dependency parsing is a linguistically principled method for neural semantic parsing with high accuracy across multiple graphbanks.
Normalizing Compositional Structures Across Graphbanks
The emergence of a variety of graph-based meaning representations (MRs) has sparked an important conversation about how to adequately represent semantic structure.
Saarland at MRP 2019: Compositional parsing across all graphbanks
We describe the Saarland University submission to the shared task on Cross-Framework Meaning Representation Parsing (MRP) at the 2019 Conference on Computational Natural Language Learning (CoNLL).
Compositional Semantic Parsing Across Graphbanks
Most semantic parsers that map sentences to graph-based meaning representations are hand-designed for specific graphbanks.
Verb-Second Effect on Quantifier Scope Interpretation
Sentences like {``}Every child climbed a tree{''} have at least two interpretations depending on the precedence order of the universal quantifier and the indefinite.
AMR Dependency Parsing with a Typed Semantic Algebra
We present a semantic parser for Abstract Meaning Representations which learns to parse strings into tree representations of the compositional structure of an AMR graph.
