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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 11 of 11 1 Don't Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Balasubramanian, Niranjan; Chambers, Nathanael. - : Underline Science Inc., 2021 BASE Show details 2 TellMeWhy: A Dataset for Answering Why-Questions in Narratives ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Balasubramanian, Niranjan; Chambers, Nathanael. - : Underline Science Inc., 2021 BASE Show details 3 Conditional Generation of Temporally-ordered Event Sequences ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chambers, Nathanael; Durrett, Greg. - : Underline Science Inc., 2021 BASE Show details 4 Modeling Label Semantics for Predicting Emotional Reactions ... Gaonkar, Radhika; Kwon, Heeyoung; Bastan, Mohaddeseh. - : arXiv, 2020 BASE Show details 5 Advances in statistical script learning Pichotta, Karl. - 2017 BASE Show details 6 USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis Harihara, Ganesh; Yang, Eugene; Chambers, Nathanael In: DTIC (2013) BASE Show details 7 NavyTime: Event and Time Ordering from Raw Text Chambers, Nathanael In: DTIC (2013) BASE Show details 8 Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter Marchetti-Bowick, Micol; Chambers, Nathanael In: DTIC (2012) BASE Show details 9 Labeling Documents with Timestamps: Learning from their Time Expressions Chambers, Nathanael In: DTIC (2012) Abstract: Temporal reasoners for document understanding typically assume that a document's creation date is known. Algorithms to ground relative time expressions and order events often rely on this timestamp to assist the learner. Unfortunately, the timestamp is not always known, particularly on the Web. This paper addresses the task of automatic document timestamping, presenting two new models that incorporate rich linguistic features about time. The first is a discriminative classifier with new features extracted from the text's time expressions (e.g., 'since 1999'). This model alone improves on previous generative models by 77%. The second model learns probabilistic constraints between time expressions and the unknown document time. Imposing these learned constraints on the discriminative model further improves its accuracy. Finally we present a new experiment design that facilitates easier comparison by future work. Keyword: *LINGUISTICS; ALGORITHMS; EXTRACTION; LEARNING; Linguistics URL: http://www.dtic.mil/docs/citations/ADA586366 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA586366 BASE Hide details 10 Improving the use of pseudo-words for evaluating selectional preferences Chambers, Nathanael; Jurafsky, Dan In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 445-453 BLLDB Show details 11 Stochastic Language Generation in a Dialogue System: Toward a Domain Independent Generator Chambers, Nathanael; Allen, James In: DTIC (2004) BASE Show details

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