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The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
We introduce GEM, a living benchmark for natural language Generation (NL...
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SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training
Non-task-oriented dialog models suffer from poor quality and non-diverse...
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Measuring the `I don't know' Problem through the Lens of Gricean Quantity
We consider the intrinsic evaluation of neural generative dialog models ...
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An Evaluation Protocol for Generative Conversational Systems
There is a multitude of novel generative models for open-domain conversa...
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Decoding Methods for Neural Narrative Generation
Narrative generation is an open-ended NLP task in which a model generate...
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COD3S: Diverse Generation with Discrete Semantic Signatures
We present COD3S, a novel method for generating semantically diverse sen...
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Revisiting Memory-Efficient Incremental Coreference Resolution
We explore the task of coreference resolution under fixed memory by exte...
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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...
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Comparison of Diverse Decoding Methods from Conditional Language Models
While conditional language models have greatly improved in their ability...
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Conceptor Debiasing of Word Representations Evaluated on WEAT
Bias in word embeddings such as Word2Vec has been widely investigated, a...
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Continual Learning for Sentence Representations Using Conceptors
Distributed representations of sentences have become ubiquitous in natur...
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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...
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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...
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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. ...
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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...
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Modeling Empathy and Distress in Reaction to News Stories
Computational detection and understanding of empathy is an important fac...
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Domain Aware Neural Dialog System
We investigate the task of building a domain aware chat system which gen...
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Enterprise to Computer: Star Trek chatbot
Human interactions and human-computer interactions are strongly influenc...
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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...
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Semantic Word Clusters Using Signed Normalized Graph Cuts
Vector space representations of words capture many aspects of word simil...
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