Informativeness

AbstractIn an effort to reduce the subjectivity, cost, and complexity of evaluation methods for machine translation (MT) and other language technologies, task-based assessment is examined as an alternative to metrics-based …...

In intonational phonology and speech syn- thesis research, it has been suggested that the relative informativeness of a word can be used to predict pitch prominence. The more information conveyed …...

In this paper, we propose a multi-criteria- based active learning approach and effec- tively apply it to named entity recognition. Active learning targets to minimize the human annotation efforts by …...

Feature-Rich Space Carlos A. Colmenares∗ Google Inc. Brandschenkestrasse 110 8002 Zurich, Switzerland crcarlos@google.com Marina Litvak Shamoon College of Engineering Beer Sheva, Israel marinal@sce.ac.il Amin Mantrach Fabrizio Silvestri Yahoo Labs. Avinguda …...

Natural language generation (NLG) is a critical component of spoken dialogue and it has a significant impact both on usabil- ity and perceived quality. Most NLG sys- tems in common …...

We present an LSTM approach to deletion-based sentence compression where the task is to translate a sentence into a sequence of zeros and ones, cor- responding to token deletion decisions. …...

Existing timeline generation systems for com- plex events consider only information from traditional media, ignoring the rich social con- text provided by user-generated content that reveals representative public interests or …...

The challenges of Machine Reading and Knowledge Extraction at a web scale re- quire a system capable of extracting diverse information from large, heterogeneous cor- pora. The Open Information Extraction …...

AbstractThis paper presents a novel encoder-decoder model for automatically generating market comments from stock prices. The model first encodes both short- and long-term series of stock prices so that it …...

AbstractIn this paper, we investigate the sentence summarization task that produces a summary from a source sentence. Neural sequence-to-sequence models have gained considerable success for this task, while most existing …...

AbstractWe present a new summary evaluation approach that does not require human model summaries. Our approach exploits the compositional capabilities of corpus-based and lexical resource-based word embeddings to develop the …...

AbstractAlthough neural conversational models are effective in learning how to produce fluent responses, their primary challenge lies in knowing what to say to make the conversation contentful and non-vacuous. We …...

AbstractIn this paper, a novel Generation-Evaluation framework is developed for multi-turn conversations with the objective of letting both participants know more about each other. For the sake of rational knowledge …...

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 …...

AbstractTraditional generative dialogue models generate responses solely from input queries. Such information is insufficient for generating a specific response since a certain query could be answered in multiple ways. Recently, …...

AbstractSentence function is an important linguistic feature indicating the communicative purpose in uttering a sentence. Incorporating sentence functions into conversations has shown improvements in the quality of generated responses. However, …...

AbstractMost existing work on automated fact checking is concerned with predicting the veracity of claims based on metadata, social network spread, language used in claims, and, more recently, evidence supporting …...

AbstractAutomatically generated stories need to be not only coherent, but also interesting. Apart from realizing a story line, the text also needs to include rich details to engage the readers. …...

AbstractThe task of generating weather-forecast comments from meteorological simulations has the following requirements: (i) the changes in numerical values for various physical quantities need to be considered, (ii) the weather …...

AbstractThough model robustness has been extensively studied in language understanding, the robustness of Seq2Seq generation remains understudied. In this paper, we conduct the first quantitative analysis on the robustness of …...

AbstractEmpathy is a crucial factor in open-domain conversations, which naturally shows one’s caring and understanding to others. Though several methods have been proposed to generate empathetic responses, existing works often …...

AbstractIn this paper, we conduct the first study on spurious correlations for open-domain response generation models based on a corpus CGDialog curated by ourselves. The current models indeed suffer from …...