Search Results for author: Nathanael Chambers

Found 30 papers, 7 papers with code

TellMeWhy: A Dataset for Answering Why-Questions in Narratives

1 code implementation Findings (ACL) 2021 Yash Kumar Lal, Nathanael Chambers, Raymond Mooney, Niranjan Balasubramanian

They are especially worse on questions whose answers are external to the narrative, thus providing a challenge for future QA and narrative understanding research.

Conditional Generation of Temporally-ordered Event Sequences

no code implementations ACL 2021 Shih-ting Lin, Nathanael Chambers, Greg Durrett

We propose a single model that addresses both temporal ordering, sorting given events into the order they occurred, and event infilling, predicting new events which fit into an existing temporally-ordered sequence.

Denoising Story Completion

Modeling Label Semantics for Predicting Emotional Reactions

1 code implementation ACL 2020 Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian, Nathanael Chambers

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.

Emotion Classification Multi-Label Classification

Generating Narrative Text in a Switching Dynamical System

1 code implementation CONLL 2020 Noah Weber, Leena Shekhar, Heeyoung Kwon, Niranjan Balasubramanian, Nathanael Chambers

A SLDS is a dynamical system in which the latent dynamics of the system (i. e. how the state vector transforms over time) is controlled by top-level discrete switching variables.

Text Generation

Hierarchical Quantized Representations for Script Generation

1 code implementation EMNLP 2018 Noah Weber, Leena Shekhar, Niranjan Balasubramanian, Nathanael Chambers

This permits the decoder to softly decide what portions of the latent hierarchy to condition on by attending over the value embeddings for a given setting.

Language Modelling Quantization

Detecting Denial-of-Service Attacks from Social Media Text: Applying NLP to Computer Security

no code implementations NAACL 2018 Nathanael Chambers, Ben Fry, James McMasters

This paper describes a novel application of NLP models to detect denial of service attacks using only social media as evidence.

Learning Typed Entailment Graphs with Global Soft Constraints

1 code implementation TACL 2018 Mohammad Javad Hosseini, Nathanael Chambers, Siva Reddy, Xavier R. Holt, Shay B. Cohen, Mark Johnson, Mark Steedman

We instead propose a scalable method that learns globally consistent similarity scores based on new soft constraints that consider both the structures across typed entailment graphs and inside each graph.

Graph Learning

Event Representations with Tensor-based Compositions

1 code implementation21 Nov 2017 Noah Weber, Niranjan Balasubramanian, Nathanael Chambers

Robust and flexible event representations are important to many core areas in language understanding.

Event Ordering with a Generalized Model for Sieve Prediction Ranking

no code implementations IJCNLP 2017 Bill McDowell, Nathanael Chambers, Alex Ororbia II, er, David Reitter

Within this prediction reranking framework, we propose an alternative scoring function, showing an 8. 8{\%} relative gain over the original CAEVO.

Word Embeddings

Aligning Entity Names with Online Aliases on Twitter

no code implementations WS 2017 Kevin McKelvey, Peter Goutzounis, Stephen da Cruz, Nathanael Chambers

Recent work on entity linking attempts to resolve mentions to knowledge base entries, like a wikipedia page, but linking is unfortunately limited to well-known entities with pre-built pages.

Coreference Resolution Entity Linking +1

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