Nathanael Chambers

Publications58
h-index25
Citations3,758
Highly Influential Citations467
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Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules
TLDR
We propose a new deterministic approach to coreference resolution that combines the global information and precise features of modern machine-learning models with the transparency and modularity of deterministic, rule-based systems. Expand
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Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task
TLDR
This paper describes the coreference resolution system used by Stanford at the CoNLL-2011 shared task (Pradhan et al., 2011). Expand
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A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories
TLDR
This paper introduces a new corpus of 50k five-sentence commonsense stories that captures a rich set of causal and temporal commonsense relations between daily events. Expand
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Unsupervised Learning of Narrative Event Chains
TLDR
We propose unsupervised induction of similar schemata called narrative event chains from raw newswire text. Expand
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Unsupervised Learning of Narrative Schemas and their Participants
TLDR
We describe an unsupervised system for learning narrative schemas, coherent sequences or sets of events (arrested(POLICE, SUSPECT), convicted(JUDGE) whose arguments are filled with participant semantic roles defined over words (Judge = {judge, jury, court}, Police = {police, agent, authorities}. Expand
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Dense Event Ordering with a Multi-Pass Architecture
TLDR
We present CAEVO, a novel sieve-based architecture for temporal event ordering that directly addresses the interplay between identification and classification. Expand
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An Annotation Framework for Dense Event Ordering
TLDR
This paper proposes a new annotation process with a mechanism to force annotators to label connected graphs. Expand
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Classifying Temporal Relations Between Events
TLDR
We present both an analysis of our new features and results on the TimeBank Corpus that is 3% higher than previous work that used perfect human tagged features. Expand
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A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories
TLDR
This paper introduces a new corpus of ~50k five-sentence commonsense stories, ROCStories, to enable this evaluation. Expand
  • 101
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Event Schema Induction with a Probabilistic Entity-Driven Model
TLDR
We present a new generative model for schema induction, and it produces state-of-the-art induction results, including a 7 F1 point gain. Expand
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