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As interaction between autonomous agents, communication can be analyzed in game-theoretic terms. Meaning game is proposed to formalize the core of intended communication in which the sender sends a message …...

To date, few attempts have been made to develop and validate methods for au- tomatic evaluation of linguistic quality in text summarization. We present the first systematic assessment of several …...

In this paper we present a joint con- tent selection and compression model for single-document summarization. The model operates over a phrase-based rep- resentation of the source document which we …...

Previous work on paraphrase extraction and application has relied on either parallel datasets, or on distributional similarity met- rics over large text corpora. Our approach combines these two orthogonal sources …...

Paraphrase generation is widely used for various natural language processing (NLP) applications such as question answering, multi-document summarization, and machine translation. In this study, we identify the problems occurring in …...

ive Compression of Sentences and Short Paragraphs Kristina Toutanova Microsoft Research Redmond, WA, USA Chris Brockett Microsoft Research Redmond, WA, USA Ke M. Tran∗ University of Amsterdam Amsterdam, The Netherlands …...

This paper investigates how linguistic knowl- edge mined from large text corpora can aid the generation of natural language descriptions of videos. Specifically, we integrate both a neu- ral language …...

AbstractWe study automatic question generation for sentences from text passages in reading comprehension. We introduce an attention-based sequence learning model for the task and investigate the effect of encoding sentence- …...

AbstractThe paper explores the ability of LSTM networks trained on a language modeling task to detect linguistic structures which are ungrammatical due to extraction violations (extra arguments and subject-relative clause …...

AbstractThe task of obfuscating writing style using sequence models has previously been investigated under the framework of obfuscation-by-transfer, where the input text is explicitly rewritten in another style. A side …...

AbstractIn this work, we investigate the possibility of using fully automatic text simplification system on the English source in machine translation (MT) for improving its translation into an under-resourced language. …...

AbstractSequence-to-sequence models for open-domain dialogue generation tend to favor generic, uninformative responses. Past work has focused on word frequency-based approaches to improving specificity, such as penalizing responses with only common …...

AbstractModern text classification models are susceptible to adversarial examples, perturbed versions of the original text indiscernible by humans which get misclassified by the model. Recent works in NLP use rule-based …...

AbstractThis paper introduces a new task of politeness transfer which involves converting non-polite sentences to polite sentences while preserving the meaning. We also provide a dataset of more than 1.39 …...

AbstractAdversarial examples expose the vulnerabilities of natural language processing (NLP) models, and can be used to evaluate and improve their robustness. Existing techniques of generating such examples are typically driven …...

AbstractResearch shows that natural language processing models are generally considered to be vulnerable to adversarial attacks; but recent work has drawn attention to the issue of validating these adversarial inputs …...