Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Nathanael Chambers"'
Autor:
Xavier Holt, Nathanael Chambers, Mark Johnson, Siva Reddy, Shay B. Cohen, Mark Steedman, Mohammad Javad Hosseini
Publikováno v:
Hosseini, S M J, Chambers, N, Reddy, S, Holt, X R, Cohen, S, Johnson, M & Steedman, M 2018, ' Learning Typed Entailment Graphs with Global Soft Constraints ', Transactions of the Association for Computational Linguistics, vol. 6, pp. 703-717 . https://doi.org/10.1162/tacl_a_00250
Transactions of the Association for Computational Linguistics
Transactions of the Association for Computational Linguistics
This paper presents a new method for learning typed entailment graphs from text. We extract predicate-argument structures from multiple-source news corpora, and compute local distributional similarity scores to learn entailments between predicates wi
Publikováno v:
ACL/IJCNLP (2)
Event language models represent plausible sequences of events. Most existing approaches train autoregressive models on text, which successfully capture event co-occurrence but unfortunately constrain the model to follow the discourse order in which e
Publikováno v:
SEM
A typical goal for language understanding is to logically connect the events of a discourse, but often connective events are not described due to their commonsense nature. In order to address this deficit, we focus here on generating precondition eve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a0577908dc7db243f308e34c983b1d9
Publikováno v:
ACL/IJCNLP (Findings)
Answering questions about why characters perform certain actions is central to understanding and reasoning about narratives. Despite recent progress in QA, it is not clear if existing models have the ability to answer "why" questions that may require
Publikováno v:
ACL/IJCNLP (1)
Models of narrative schema knowledge have proven useful for a range of event-related tasks, but they typically do not capture the temporal relationships between events. We propose a single model that addresses both temporal ordering, sorting given ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a75f1ff6d3c6d0d53be391d4caa6771f
http://arxiv.org/abs/2012.15786
http://arxiv.org/abs/2012.15786
Autor:
Niranjan Balasubramanian, Nathanael Chambers, Mohaddeseh Bastan, Radhika Gaonkar, Heeyoung Kwon
Publikováno v:
ACL
Predicting how events induce emotions in the characters of a story is typically seen as a standard multi-label classification task, which usually treats labels as anonymous classes to predict. They ignore information that may be conveyed by the emoti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be6ae23d4564263cd9c7304dbc582537
http://arxiv.org/abs/2006.05489
http://arxiv.org/abs/2006.05489
Autor:
Niranjan Balasubramanian, Anmol Shukla, Gargi Sawhney, Mahnaz Koupaee, Nathanael Chambers, Pratyush Singh, Heeyoung Kwon, Keerthi Kumar Kallur
Publikováno v:
EMNLP (Findings)
Preconditions provide a form of logical connection between events that explains why some events occur together and information that is complementary to the more widely studied relations such as causation, temporal ordering, entailment, and discourse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1763411c55b004b4e15922e7c814588
Publikováno v:
CoNLL
Early work on narrative modeling used explicit plans and goals to generate stories, but the language generation itself was restricted and inflexible. Modern methods use language models for more robust generation, but often lack an explicit representa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f1d8e595066cd0a63111ba229815ad4
Autor:
Catherine Griswold, Nathanael Chambers, Kevin Lu, Yogaish Khastgir, Timothy Forman, Stephen Steckler
Publikováno v:
W-NUT@EMNLP
Illicit activity on the Web often uses noisy text to obscure information between client and seller, such as the seller’s phone number. This presents an interesting challenge to language understanding systems; how do we model adversarial noise in a
Publikováno v:
NAACL-HLT
This paper describes a novel application of NLP models to detect denial of service attacks using only social media as evidence. Individual networks are often slow in reporting attacks, so a detection system from public data could better assist a resp