Mova · papers by shelf

English

The 25 papers of the English shelf whose ideas Mova took up: next to each, what came of its ideas — kept, tried, queued, or measured with no gain. Each title opens our card.

• How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
  Divyansh Kaushik, Zachary C. Lipton · 2018 · ideas: 3 kept
• A Predictive Model for Notional Anaphora in English
  Amir Zeldes · 2018 · ideas: 2 kept
• Characterizing the Errors of Data-Driven Dependency Parsing Models
  Ryan McDonald, Joakim Nivre · 2007 · ideas: 2 kept
• Head-Driven Statistical Models for Natural Language Parsing
  Michael Collins · 2003 · ideas: 2 kept
• How Bad is the Problem of PP-Attachment? A Comparison of English, German and Swedish
  Martin Volk · 2006 · ideas: 2 kept
• Identifying Cascading Errors using Constraints in Dependency Parsing
  Dominick Ng, James R. Curran · 2015 · ideas: 2 kept
• Neural Models of Factuality
  Rachel Rudinger, Aaron Steven White, Benjamin Van Durme · 2018 · ideas: 2 kept
• Prepositional Phrase Attachment without Oracles
  Michaela Atterer, Hinrich Schütze · 2007 · ideas: 2 kept
• Unbounded Dependency Recovery for Parser Evaluation
  Laura Rimell, Stephen Clark, Mark Steedman · 2009 · ideas: 2 kept
• Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey
  Varada Kolhatkar, Adam Roussel, Stefanie Dipper, et al. · 2018 · ideas: 1 kept, 1 measured, no gain
• Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking
  Eugene Charniak, Mark Johnson · 2005 · ideas: 1 kept
• Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning
  Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, et al. · 2019 · ideas: 1 kept
• How well do NLI models capture verb veridicality?
  Alexis Ross, Ellie Pavlick · 2019 · ideas: 1 kept
• Improving a Strong Neural Parser with Conjunction-Specific Features
  Jessica Ficler, Yoav Goldberg · 2017 · ideas: 1 kept
• STARC: Structured Annotations for Reading Comprehension
  Yevgeni Berzak, Jonathan Malmaud, Roger Levy · 2020 · ideas: 1 kept
• TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions
  Qiang Ning, Hao Wu, Rujun Han, et al. · 2020 · ideas: 1 kept
• Towards Semi-Automated Annotation for Prepositional Phrase Attachment
  Sara Rosenthal, William Lipovsky, Kathleen McKeown, et al. · 2010 · ideas: 1 kept
• Universal Decompositional Semantics on Universal Dependencies
  Aaron Steven White, Drew Reisinger, Keisuke Sakaguchi, et al. · 2016 · ideas: 1 kept
• What is it? Disambiguating the different readings of the pronoun 'it'
  Sharid Loáiciga, Liane Guillou, Christian Hardmeier · 2017 · ideas: 1 kept
• VerbNet Representations: Subevent Semantics for Transfer Verbs
  Susan Windisch Brown, Julia Bonn, James Gung, et al. · 2019 · ideas: 2 measured, no gain
• A Simple Joint Model for Improved Contextual Neural Lemmatization
  Chaitanya Malaviya, Shijie Wu, Ryan Cotterell · 2019 · ideas: 1 measured, no gain
• Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning
  Xiang Yu, Ngoc Thang Vu, Jonas Kuhn · 2018 · ideas: 1 measured, no gain
• Bridging resolution: Task definition, corpus resources and rule-based experiments
  Ina Roesiger, Arndt Riester, Jonas Kuhn · 2018 · ideas: 1 measured, no gain
• Fine-grained Information Status Classification Using Discourse Context-Aware BERT
  Yufang Hou · 2020 · ideas: 1 measured, no gain
• The CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue
  Juntao Yu, Sopan Khosla, Ramesh Manuvinakurike, et al. · 2022 · ideas: 1 measured, no gain