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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 Page: 1 2 3 4 Hits 1 – 20 of 79 1 Parallel processing in speech perception with local and global representations of linguistic context Brodbeck, Christian; Bhattasali, Shohini; Cruz Heredia, Aura AL... In: eLife (2022) BASE Show details 2 Using surprisal and fMRI to map the neural bases of broad and local contextual prediction during natural language comprehension ... 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; Bhattasali, Shohini; Resnik, Philip. - : Underline Science Inc., 2021 BASE Show details 3 Community-level Research on Suicidality Prediction in a Secure Environment: Overview of the CLPsych 2021 Shared Task MacAvaney, Sean; Mittu, Anjali; Coppersmith, Glen. - 2021 BASE Show details 4 Connecting Documents, Words, and Languages Using Topic Models Yang, Weiwei. - 2019 BASE Show details 5 Assessing Composition in Sentence Vector Representations ... Ettinger, Allyson; Elgohary, Ahmed; Phillips, Colin. - : arXiv, 2018 BASE Show details 6 Relating lexical and syntactic processes in language: Bridging research in humans and machines Ettinger, Allyson. - 2018 BASE Show details 7 Guided Probabilistic Topic Models for Agenda-setting and Framing Nguyen, Viet An. - 2015 BASE Show details 8 Soft syntactic constraints for Arabic-English hierarchical phrase-based translation Resnik, Philip; Chiang, David; Marton, Yuval In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 26 (2012) 1-2, 137-157 BLLDB OLC Linguistik Show details 9 Crowdsourced Monolingual Translation Hu, Chang. - 2012 BASE Show details 10 Decision Tree-based Syntactic Language Modeling Filimonov, Denis. - 2011 BASE Show details 11 Modeling Dependencies in Natural Languages with Latent Variables Huang, Zhongqiang. - 2011 BASE Show details 12 Exploiting syntactic relationships in a phrase-based decoder: an exploration Hunter, Tim; Resnik, Philip In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 24 (2010) 2, 123-140 BLLDB OLC Linguistik Show details 13 Gibbs Sampling for the Uninitiated Resnik, Philip; Hardisty, Eric In: DTIC (2010) BASE Show details 14 Structured local exponential models for machine translation Subotin, Michael. - 2010 BASE Show details 15 A Formal Model of Ambiguity and its Applications in Machine Translation Dyer, Christopher. - 2010 BASE Show details 16 Extending Phrase-Based Decoding with a Dependency-Based Reordering Model Hunter, Tim; Resnik, Philip In: DTIC (2009) BASE Show details 17 Extending Phrase-Based Decoding with a Dependency-Based Reordering Model Resnik, Philip; Hunter, Tim. - 2009 BASE Show details 18 COMPUTATIONAL ANALYSIS OF THE CONVERSATIONAL DYNAMICS OF THE UNITED STATES SUPREME COURT Hawes, Timothy. - 2009 Abstract: The decisions of the United States Supreme Court have far-reaching implications in American life. Using transcripts of Supreme Court oral arguments this work looks at the conversational dynamics of Supreme Court justices and links their conversational interaction with the decisions of the Court and individual justices. While several studies have looked at the relationship between oral arguments and case variables, to our knowledge, none have looked at the relationship between conversational dynamics and case outcomes. Working from this view, we show that the conversation of Supreme Court justices is both predictable and predictive. We aim to show that conversation during Supreme Court cases is patterned, this patterned conversation is associated with case outcomes, and that this association can be used to make predictions about case outcomes. We present three sets of experiments to accomplish this. The first examines the order of speakers during oral arguments as a patterned sequence, showing that cohesive elements in the discourse, along with references to individuals, provide significant improvements over our "bag-of-words" baseline in identifying speakers in sequence within a transcript. The second graphically examines the association between speaker turn-taking and case outcomes. The results presented with this experiment point to interesting and complex relationships between conversational interaction and case variables, such as justices' votes. The third experiment shows that this relationship can be used in the prediction of case outcomes with accuracy ranging from 62.5% to 76.8% for varying conditions. Finally, we offer recommendations for improved tools for legal researchers interested in the relationship between conversation during oral arguments and case outcomes, and suggestions for how these tools may be applied to more general problems. Keyword: Computational Discourse Analysis; Conversational Dynamics; Digital Humanities; Language; Linguistics; Turn-taking; U.S. Supreme Court; Vote Forecasting URL: http://hdl.handle.net/1903/9999 BASE Hide details 19 Fine-Grained Linguistic Soft Constraints on Statistical Natural Language Processing Models Marton, Yuval Yehezkel. - 2009 BASE Show details 20 Generalizing Word Lattice Translation Dyer, Christopher; Muresan, Smaranda; Resnik, Philip In: DTIC (2008) BASE Show details Page: 1 2 3 4

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