João Sedoc

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Johns Hopkins University ∙ University of Pennsylvania

Continual Learning for Sentence Representations Using Conceptors

Distributed representations of sentences have become ubiquitous in natur...
04/18/2019 ∙ by Tianlin Liu, et al. ∙ 20 ∙ share

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Domain Aware Neural Dialog System

We investigate the task of building a domain aware chat system which gen...
08/02/2017 ∙ by Sajal Choudhary, et al. ∙ 0 ∙ share

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Enterprise to Computer: Star Trek chatbot

Human interactions and human-computer interactions are strongly influenc...
08/02/2017 ∙ by Grishma Jena, et al. ∙ 0 ∙ share

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Deriving Verb Predicates By Clustering Verbs with Arguments

Hand-built verb clusters such as the widely used Levin classes (Levin, 1...
08/01/2017 ∙ by João Sedoc, et al. ∙ 0 ∙ share

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Semantic Word Clusters Using Signed Normalized Graph Cuts

Vector space representations of words capture many aspects of word simil...
01/20/2016 ∙ by João Sedoc, et al. ∙ 0 ∙ share

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Modeling Empathy and Distress in Reaction to News Stories

Computational detection and understanding of empathy is an important fac...
08/30/2018 ∙ by Sven Buechel, et al. ∙ 0 ∙ share

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Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations

Deep Learning has drastically reshaped virtually all areas of NLP. Yet o...
10/25/2018 ∙ by Sven Buechel, et al. ∙ 0 ∙ share

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Unsupervised Post-processing of Word Vectors via Conceptor Negation

Word vectors are at the core of many natural language processing tasks. ...
11/17/2018 ∙ by Tianlin Liu, et al. ∙ 0 ∙ share

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Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors

Distributed representations of words, better known as word embeddings, h...
11/17/2018 ∙ by Tianlin Liu, et al. ∙ 0 ∙ share

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Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification

Sentence simplification is the task of rewriting texts so they are easie...
04/04/2019 ∙ by Reno Kriz, et al. ∙ 0 ∙ share

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Conceptor Debiasing of Word Representations Evaluated on WEAT

Bias in word embeddings such as Word2Vec has been widely investigated, a...
06/14/2019 ∙ by Saket Karve, et al. ∙ 0 ∙ share

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Comparison of Diverse Decoding Methods from Conditional Language Models

While conditional language models have greatly improved in their ability...
06/14/2019 ∙ by Daphne Ippolito, et al. ∙ 0 ∙ share

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Learning Word Ratings for Empathy and Distress from Document-Level User Responses

Despite the excellent performance of black box approaches to modeling se...
12/02/2019 ∙ by João Sedoc, et al. ∙ 0 ∙ share

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Revisiting Memory-Efficient Incremental Coreference Resolution

We explore the task of coreference resolution under fixed memory by exte...
04/30/2020 ∙ by Patrick Xia, et al. ∙ 0 ∙ share

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João Sedoc

Featured Co-authors

Benjamin Van Durme

Lyle Ungar

Chris Callison-Burch

Sven Buechel

H. Andrew Schwartz

Gaurav Kumar

Patrick Xia

Tianlin Liu

Daphne Ippolito

Anneke Buffone

Dean Foster

Continual Learning for Sentence Representations Using Conceptors

Domain Aware Neural Dialog System

Enterprise to Computer: Star Trek chatbot

Deriving Verb Predicates By Clustering Verbs with Arguments

Semantic Word Clusters Using Signed Normalized Graph Cuts

Modeling Empathy and Distress in Reaction to News Stories

Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations

Unsupervised Post-processing of Word Vectors via Conceptor Negation

Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors

Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification

Conceptor Debiasing of Word Representations Evaluated on WEAT

Comparison of Diverse Decoding Methods from Conditional Language Models

Learning Word Ratings for Empathy and Distress from Document-Level User Responses

Revisiting Memory-Efficient Incremental Coreference Resolution