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[PDF] Top 20 Up cycling Data for Natural Language Generation

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Up cycling Data for Natural Language Generation

Up cycling Data for Natural Language Generation

... Web. Data may have been annotated over a num- ber of years by multiple authors before being collected to- gether, and the relation names used cannot always be re- lied upon to contain the information necessary to ... See full document

7

Natural Language Generation with Vocabulary Constraints

Natural Language Generation with Vocabulary Constraints

... To perform the sampling required for derivation tree construction we must define P(o|c). Using M, we begin by converting a large corpus of sen- tence segmented text into a training set of deriva- tion trees. Maximum ... See full document

10

Scaling a Natural Language Generation System

Scaling a Natural Language Generation System

... in natural language genera- tion (NLG) is to enable fast generation even with large vocabularies, grammars and ...median generation time of ... See full document

10

Multi task Learning for Natural Language Generation in Task Oriented Dialogue

Multi task Learning for Natural Language Generation in Task Oriented Dialogue

... We present our experimental results in Table 1 and 2. As shown, our model, NLG-LM, outperforms the baseline models in all 5 datasets. In E2E-NLG dataset, it achieves 2.2% higher BLEU score and 0.013 higher NIST score ... See full document

6

A Personal Storytelling about Your Favorite Data

A Personal Storytelling about Your Favorite Data

... text generation, the text − to − text approach is used to automat- ically summarize texts (Rotem, 2003) or opin- ions (Labb´e and Portet, 2012) expressed in nat- ural ...a data − to − text approach which ... See full document

9

Empirically based Control of Natural Language Generation

Empirically based Control of Natural Language Generation

... 3.4 Correlating Decisions with Text Features By allowing the generator to freely generate all possible output from a single input, we recorded a set of < trace, text > pairs ranging across the full variation space. ... See full document

8

The Order of Prenominal Adjectives in Natural Language Generation

The Order of Prenominal Adjectives in Natural Language Generation

... training data that includes that adjective ...ing data, it can nevertheless achieve high accu- ...training data be available dur- ing classification, this represents a considerable resource ... See full document

8

A Decision Theoretic Approach to Natural Language Generation

A Decision Theoretic Approach to Natural Language Generation

... the generation criteria. This in- cludes work based on chart generation and pars- ing (Shieber, 1988; Kay, ...“forest” data structure that compactly summarizes possible ex- pressions is ... See full document

10

Semi Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models

Semi Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models

... paired data to constrain the in- ner representation of the models to respect the for- mat of the task (here MR and abstract text); 2) the architecture is completely differentiable which en- ables a fully joint ... See full document

11

Data Driven Broad Coverage Grammars for Opinionated Natural Language Generation (ONLG)

Data Driven Broad Coverage Grammars for Opinionated Natural Language Generation (ONLG)

... and natural compared to the lexicalized (LEX) gram- mar: the per-word LM Score for the RR is − ...syntactic generation, rather than filling slots in ... See full document

11

University of Edinburgh’s submission to the Document level Generation and Translation Shared Task

University of Edinburgh’s submission to the Document level Generation and Translation Shared Task

... The Natural Language Generation (NLG) track re- volved around systems that take structured data in the form of tabular data from a basketball game as input, and generate a summary of ... See full document

5

Towards Automatic Generation of Natural Language Generation Systems

Towards Automatic Generation of Natural Language Generation Systems

... training data need not be high and plen- tiful for decent ...in-domain data is not available, we show that out-of-domain training data can be used with adequate ... See full document

7

Generation Distillation for Efficient Natural Language Understanding in Low Data Settings

Generation Distillation for Efficient Natural Language Understanding in Low Data Settings

... Notably, transfer learning with LMs vastly out- performs training task-specific from scratch in low data regimes. For example, GPT-2 is capable of generating coherent text in a particular style (i.e. poetry, Java ... See full document

8

A Repository of Data and Evaluation Resources for Natural Language Generation

A Repository of Data and Evaluation Resources for Natural Language Generation

... METEO data contains human-authored outputs for a subset of inputs, and outputs from 12 systems: a tra- ditional deterministic rule-based generator, and 11 train- able generators (four probabilistic CFG -based ... See full document

6

Automatic Corpus Extension for Data driven Natural Language Generation

Automatic Corpus Extension for Data driven Natural Language Generation

... As data-driven approaches started to make their way into the Natural Language Generation (NLG) domain, the need for automation of corpus building and extension became ...in data-driven ... See full document

8

Adversarial Generation of Natural Language

Adversarial Generation of Natural Language

... In this work, we address the discrete output space problem by simply forcing the discriminator to operate on continuous valued output distribu- tions. The discriminator sees a sequence of proba- bilities over every token ... See full document

11

Statistical Natural Language Generation from Tabular Non textual Data

Statistical Natural Language Generation from Tabular Non textual Data

... non-textual data contain distinct ...non-textual data to their appearance in the cor- responding textual ...non-textual data can be found in the corresponding textual data, then our system ... See full document

10

An Alignment Capable Microplanner for Natural Language Generation

An Alignment Capable Microplanner for Natural Language Generation

... expression generation and aggregation) at once by treating microplanning as a search ...ing generation it tries to find an utterance which is in accordance with the constraints set by its input (a grammar, ... See full document

8

Automated Planning for Situated Natural Language Generation

Automated Planning for Situated Natural Language Generation

... situated natural language gen- eration (NLG)—i.e., of generating natural lan- guage in the context of a physical (or virtual) environment—has received increasing attention in the past few ...situated ... See full document

10

The Text System for Natural Language Generation: An Overview

The Text System for Natural Language Generation: An Overview

... For example, in response to requests for definitions, the constituency schema is selected when the relevant knowledge pool contains a rich description of the questioned object's sub-clas[r] ... See full document

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