24 citations · 34 across the 3 of their papers we have counts for
5 papers
One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets
Marco Damonte, Emilio Monti
Semantic parsers map natural language utterances to meaning representations. The lack of a single standard for meaning representations led to the creation of a plethora of semantic…
Practical Semantic Parsing for Spoken Language Understanding
Marco Damonte, Rahul Goel, Tagyoung Chung
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. We build a transfer lea…
Structural Neural Encoders for AMR-to-text Generation
Marco Damonte, Shay B. Cohen
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. Sequence…
Talking to myself: self-dialogues as data for conversational agents
Joachim Fainberg, Ben Krause, Mihai Dobre +5
Conversational agents are gaining popularity with the increasing ubiquity of smart devices. However, training agents in a data driven manner is challenging due to a lack of suitabl…
Edina: Building an Open Domain Socialbot with Self-dialogues
Ben Krause, Marco Damonte, Mihai Dobre +6
We present Edina, the University of Edinburgh's social bot for the Amazon Alexa Prize competition. Edina is a conversational agent whose responses utilize data harvested from Amazo…