Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Prithviraj Ammanabrolu"'
Autor:
Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 11, Pp 453-468 (2023)
AbstractIn an information-seeking conversation, a user may ask questions that are under-specified or unanswerable. An ideal agent would interact by initiating different response types according to the available knowledge sources. However, most curren
Externí odkaz:
https://doaj.org/article/ece55ee3d6294fe3b867f5436a755131
Autor:
Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi
Publikováno v:
Transactions of the Association for Computational Linguistics. 11:453-468
In an information-seeking conversation, a user may ask questions that are under-specified or unanswerable. An ideal agent would interact by initiating different response types according to the available knowledge sources. However, most current studie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0d1729a0a6f37c7f4b0a18608129e81
https://doi.org/10.1162/tacl_a_00559
https://doi.org/10.1162/tacl_a_00559
Autor:
Mark O. Riedl, Prithviraj Ammanabrolu
Publikováno v:
Patterns
Summary This paper provides a roadmap that explores the question of how to imbue learning agents with the ability to understand and generate contextually relevant natural language in service of achieving a goal. We hypothesize that two key components
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::172364f65751a5c741e62ba1ed797aeb
Autor:
Margaret Li, Jack Urbanek, Jason Weston, Prithviraj Ammanabrolu, Tim Rocktäschel, Arthur Szlam
Publikováno v:
NAACL-HLT
We seek to create agents that both act and communicate with other agents in pursuit of a goal. Towards this end, we extend LIGHT (Urbanek et al. 2019) -- a large-scale crowd-sourced fantasy text-game -- with a dataset of quests. These contain natural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf7c3080c4ac0fba0f16f35c88ca66f9
http://arxiv.org/abs/2010.00685
http://arxiv.org/abs/2010.00685
Automated story plot generation is the task of generating a coherent sequence of plot events. Causal relations between plot events are believed to increase the perception of story and plot coherence. In this work, we introduce the concept of soft cau
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd221be3adbf01a22c2e0f235b2fed89
Publikováno v:
AAAI
A hallmark of human intelligence is the ability to understand and communicate with language. Interactive Fiction games are fully text-based simulation environments where a player issues text commands to effect change in the environment and progress t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c27cedcc0da73678b6dfd1b8ca3baa67
http://arxiv.org/abs/1909.05398
http://arxiv.org/abs/1909.05398
Autor:
Mark O. Riedl, Prithviraj Ammanabrolu
Publikováno v:
TextGraphs@EMNLP
Text adventure games, in which players must make sense of the world through text descriptions and declare actions through text descriptions, provide a stepping stone toward grounding action in language. Prior work has demonstrated that using a knowle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ff95e6955c5b18fa0ff93e74f2f34ab
https://doi.org/10.18653/v1/d19-5301
https://doi.org/10.18653/v1/d19-5301
Autor:
Prithviraj Ammanabrolu, Zhaochen Luo, William Ma, Lara J. Martin, Ethan Tien, Mark O. Riedl, Wesley Cheung
Publikováno v:
Proceedings of the Second Workshop on Storytelling.
Neural network based approaches to automated story plot generation attempt to learn how to generate novel plots from a corpus of natural language plot summaries. Prior work has shown that a semantic abstraction of sentences called events improves neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e8e12750fcd3dd2a051381e4cdf0aa0
https://doi.org/10.18653/v1/w19-3405
https://doi.org/10.18653/v1/w19-3405
Autor:
Prithviraj Ammanabrolu, Mark O. Riedl
Publikováno v:
NAACL-HLT (1)
Text-based adventure games provide a platform on which to explore reinforcement learning in the context of a combinatorial action space, such as natural language. We present a deep reinforcement learning architecture that represents the game state as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71cc7e106884ed9cdff44adace3fd263
http://arxiv.org/abs/1812.01628
http://arxiv.org/abs/1812.01628