[PDF] Top 20 Corpus Based Lexical Choice in Natural Language Generation
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Natural Language Descriptions of Visual Scenes Corpus Generation and Analysis
... with natural language to im- prove the quality of video ...with natural language descriptions which is a step ahead of keywords based ...a corpus consisting of descriptions for ... See full document
10
Back Translation as Strategy to Tackle the Lack of Corpus in Natural Language Generation from Semantic Representations
... Prince corpus, the style of the sentences reflects a rather unusual genre (tales) and the vocabulary is restricted to the ...this corpus only contains 1,527 annotated sen- ...second corpus, although ... See full document
10
Empirically based Control of Natural Language Generation
... Each network is then split into subnetworks by the split network module. This partitions the net- work by locating ‘proposition’ objects (marked with a double-lined box in figure 4) which have no parent and tracing the ... See full document
8
Language choice models for microplanning and readability
... guage choice models for the microplanning of discourse relations in a Natural Language Generation system that attempts to generate appropriate texts for users with varying levels of ...a ... See full document
6
Text to 3D Scene Generation with Rich Lexical Grounding
... scene generation task has used manually specified object cate- gories and language that identifies ...with natural language descriptions and learn from this data how to ground tex- tual ... See full document
10
Pay Attention when you Pay the Bills A Multilingual Corpus with Dependency based and Semantic Annotation of Collocations
... many natural language processing (NLP) tasks, since their linguistic behaviour dif- fers from other combinations of words (Mel’ˇcuk, 1995; Sag et ...to natural language generation may ... See full document
8
Natural Language Descriptions of Human Activities Scenes: Corpus Generation and Analysis
... 3.1 Collecting Textual Video Descriptions Amazon Mechanical Turk (MTurk) was used to collect video descriptions. A Human Intelligence Task (HIT) was created and published on MTurk, using an adapted version of the ... See full document
9
Automatic Corpus Extension for Data driven Natural Language Generation
... highest scoring path in the graph which is supposed to be the best generation hypothesis according to the model. The interest of this approach is that it allows to combine a num- ber of modules in a pipeline and ... See full document
8
Building a Corpus for Personality dependent Natural Language Understanding and Generation
... the generation of text so as to reflect a particular set of traits - is central to the development of NLP ...b5 corpus, a collection of controlled and free (non-topic specific) texts produced in different ... See full document
8
Natural Language Generation: Recently Learned Lessons, Directions for Semantic Representation based Approaches, and the Case of Brazilian Portuguese Language
... a corpus of AMR graphs and a corpus of ...the corpus of AMR annota- tions, which could represent one of the ...generate corpus in a target language (Portuguese) from other languages (as ... See full document
8
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... generation - multilingual information retrieval - multilingual natural language interfaces - multilingual dialogue systems - multilingual message understanding systems - corpus-based and[r] ... See full document
7
Synthetic Literature: Writing Science Fiction in a Co Creative Process
... ing Natural Language Generation within a co- creative process, and examine where the co- creative setting challenges both writer and ma- ...character-level language model to generate text ... See full document
9
Compositional Lexical Semantics In Natural Language Inference
... large corpus–as the primary signal for determining its relationship with other ...as natural language strings, in favor of using word embeddings: dense low-dimensional vectors that capture a word’s ... See full document
199
A Corpus of Natural Language for Visual Reasoning
... Table 2: Qualitative and empirical analysis of our data and VQA (Antol et al., 2015). We analyze 200 sentences for each dataset. The data is categorized to semantic and syntactic categories. We use the terms hard and ... See full document
7
Pretraining Based Natural Language Generation for Text Summarization
... We also conduct experiments on the New York Times(NYT) dataset which also consists of many news articles. The original dataset can be applied here. 1 In our experiment, we follow the dataset splits and other pre-process ... See full document
9
Fluency and Completeness in Instance based Natural Language Generation
... ?????????? ? ?????????????????????????????! ?? " ???#?????? $?&%('??)?????+*,? ? ??/ ???101????2????)23?546??????/ ? ? ???? 7&8#9? ;=@ ACBD ?EGFH8#; I#JLKNM(O?P6Q?RSRST U MWVYX[Z=\^]? a`[X(\Y abdce[.] ... See full document
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Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
... Recent studies show that to achieve mastery of a topic by 95% of the student population, some students need ten times more learning content than is available in current curricula. At issue is not just increased volume, ... See full document
48
Lexical Selection in the Process of Language Generation
... W e attach importance to the question of what the input to a generator should be, both as regards its content and its form; thus, we maintain that discourse and pragmatic information is [r] ... See full document
6
Issues in the choice of a source for Natural Language Generation
... suppression of redundancy in the generation of inference-rich reports." In Aspects of Automated Natural Language Generation, Springer Verlag Lecture Notes in AI, Number 587, edited by Da[r] ... See full document
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