CraftAssist supplies a Minecraft bot, dialogue interface, and data-recording platform intended to support research on agents that execute tasks specified through conversation.
Language to Logical Form with Neural Attention
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
abstract
Semantic parsing aims at mapping natural language to machine interpretable meaning representations. Traditional approaches rely on high-quality lexicons, manually-built templates, and linguistic features which are either domain- or representation-specific. In this paper we present a general method based on an attention-enhanced encoder-decoder model. We encode input utterances into vector representations, and generate their logical forms by conditioning the output sequences or trees on the encoding vectors. Experimental results on four datasets show that our approach performs competitively without using hand-engineered features and is easy to adapt across domains and meaning representations.
fields
cs.AI 2years
2019 2verdicts
UNVERDICTED 2representative citing papers
A rationale is presented for developing an assistant in Minecraft to advance natural language understanding and dialogue learning.
citing papers explorer
-
CraftAssist: A Framework for Dialogue-enabled Interactive Agents
CraftAssist supplies a Minecraft bot, dialogue interface, and data-recording platform intended to support research on agents that execute tasks specified through conversation.
-
Why Build an Assistant in Minecraft?
A rationale is presented for developing an assistant in Minecraft to advance natural language understanding and dialogue learning.