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Found 12 papers, 6 papers with code
Handling Ontology Gaps in Semantic Parsing
We then present a novel hallucination detection strategy that exploits the computational graph of the NSP model to detect the NSP hallucinations in the presence of ontology gaps, out-of-domain utterances, and to recognize NSP errors, improving the F1-Score respectively by ~21, ~24% and ~1%.
CLASP: Few-Shot Cross-Lingual Data Augmentation for Semantic Parsing
A bottleneck to developing Semantic Parsing (SP) models is the need for a large volume of human-labeled training data.
One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets
The lack of a single standard for meaning representations led to the creation of a plethora of semantic parsing datasets.
The Role of Reentrancies in Abstract Meaning Representation Parsing
Abstract Meaning Representation (AMR) parsing aims at converting sentences into AMR representations.
Structural Neural Encoders for AMR-to-text Generation
AMR-to-text generation is a problem recently introduced to the NLP community, in which the goal is to generate sentences from Abstract Meaning Representation (AMR) graphs.
Ranked #2 on
Graph-to-Sequence
on LDC2015E86:
Practical Semantic Parsing for Spoken Language Understanding
Executable semantic parsing is the task of converting natural language utterances into logical forms that can be directly used as queries to get a response.
Talking to myself: self-dialogues as data for conversational agents
Conversational agents are gaining popularity with the increasing ubiquity of smart devices.
Abstract Meaning Representation for Paraphrase Detection
Abstract Meaning Representation (AMR) parsing aims at abstracting away from the syntactic realization of a sentence, and denote only its meaning in a canonical form.
Edina: Building an Open Domain Socialbot with Self-dialogues
We present Edina, the University of Edinburgh's social bot for the Amazon Alexa Prize competition.
Cross-lingual Abstract Meaning Representation Parsing
Abstract Meaning Representation (AMR) annotation efforts have mostly focused on English.
The SUMMA Platform Prototype
We present the first prototype of the SUMMA Platform: an integrated platform for multilingual media monitoring.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
An Incremental Parser for Abstract Meaning Representation
We describe a transition-based parser for AMR that parses sentences left-to-right, in linear time.
Ranked #5 on
AMR Parsing
on LDC2015E86
