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05/31/2023
Pre-Trained Language-Meaning Models for Multilingual Parsing and Generation
Pre-trained language models (PLMs) have achieved great success in NLP an...
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05/15/2023
What's the Meaning of Superhuman Performance in Today's NLU?
In the last five years, there has been a significant focus in Natural La...
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12/29/2020
The Parallel Meaning Bank: A Framework for Semantically Annotating Multiple Languages
This paper gives a general description of the ideas behind the Parallel ...
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12/29/2020
DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs
Discourse Representation Theory (DRT) is a formal account for representi...
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11/09/2020
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT
We combine character-level and contextual language model representations...
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05/27/2020
Thirty Musts for Meaning Banking
Meaning banking–creating a semantically annotated corpus for the purpose...
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05/27/2020
The First Shared Task on Discourse Representation Structure Parsing
The paper presents the IWCS 2019 shared task on semantic parsing where t...
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01/22/2020
Drawing Prolog Search Trees: A Manual for Teachers and Students of Logic Programming
Programming in Prolog is hard for programmers that are used to procedura...
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11/20/2019
Casting a Wide Net: Robust Extraction of Potentially Idiomatic Expressions
Idiomatic expressions like `out of the woods' and `up the ante' present ...
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08/04/2019
Separating Argument Structure from Logical Structure in AMR
The AMR (Abstract Meaning Representation) formalism for representing mea...
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06/15/2019
Can neural networks understand monotonicity reasoning?
Monotonicity reasoning is one of the important reasoning skills for any ...
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04/27/2019
HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning
Large crowdsourced datasets are widely used for training and evaluating ...
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10/30/2018
Exploring Neural Methods for Parsing Discourse Representation Structures
Neural methods have had several recent successes in semantic parsing, th...
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08/29/2018
What can we learn from Semantic Tagging?
We investigate the effects of multi-task learning using the recently int...
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02/23/2018
Evaluating Scoped Meaning Representations
Semantic parsing offers many opportunities to improve natural language u...
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09/29/2017
Towards Universal Semantic Tagging
The paper proposes the task of universal semantic tagging---tagging word...
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05/28/2017
Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning Representations
We evaluate the character-level translation method for neural semantic p...
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04/07/2017
The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing
We evaluate a semantic parser based on a character-based sequence-to-seq...
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02/13/2017
