[PDF] Top 20 A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes

... Table 2 shows examples of generated descrip- tions for real changes and their references. Re- sults suggest that our model is able to generate semantically sound descriptions for the changes. We can ... See full document

... deep neural network models functioning as an en- coder and a decoder, the enc-dec model first en- codes input information into an intermediate ex- pression and then decodes it into an expression in a different ... See full document

... implementation changes, we should provide a tool that en- ables backwards transformation (from source code to notation to systems specifica- ...mentioned source code to notation ... See full document

... reflect changes in natural language pro- cessing (NLP) ...ural language processing approaches, such as deep neural networks, can work within the context of automatically ... See full document

... familiar from AI ...a Natural Language Generation ( NLG ) system? There are at least a couple of reasons why a positive answer would be ...a natural language representation could ... See full document

... In this approach each sentence in a pair of sentences is depicted as vector, where each dimension corresponds to a word type. In TF-IDF, each dimension holds the TF-IDF weight for the corresponding type in the sentence. ... See full document

... benefits from the ability of visualization to provide precise and clear description of object behavior especially if the visual form is extracted from the real ...current descriptions of ... See full document

... To overcome the aforementioned three chal- lenges, we propose a User Inquiry Intent (UII) model, which describes the joint generation pro- cess of keywords and questions. We employ an adaptive language model to ... See full document

... Since the taxonomy is an inheritance structure, the description of a given syntactic constituent inherits all semantic interpretation rules appropriate for each of the more general const[r] ... See full document

...  Compiler: Modified version of source language is converted into Assembly language code by the compilation.  Assembler: Assembly language is converted into object code by the[r] ... See full document

... benefit from the wide availability of text corpora (e.g., obtainable from the web), research in REG usually requires highly specialised data - hereby called REG corpora - conveying not only refer- ring ... See full document

... Generating Natural Language Text in a Dialog System Generating Natural Language Text in a Dialog System Mare Koit Media Saluveer Department of Programming 2 Juhan Liivi Street Tartu State University 2[.] ... See full document

... textual descriptions of video, based on the visual semantic ...a language model is used to infer a missing verb, aided by the detection of objects and scene ...textual descriptions using a ... See full document

... We also tested the framework with the rest of categories (i.e., ‘News’, ‘Meeting’, ‘Grouping’, ‘Traffic’ and ‘In- door/Outdoor’ videos — samples are not shown due to the limited space). There were two issues that ... See full document

... in natural language processing and computer vision to improve recognition and description of entities and activities in real-world ...for generating textual descriptions of videos by using a ... See full document

... The first step in constructing our NLG system was to compile a sufficiently large corpus of literary works. In the present study, we employ a large collection of Dutch novels in epub format (Williams, 2011), which ... See full document

... generates natural-language descriptions for ...mined from web-scale text corpora, en- hances the triplet selection algorithm by pro- viding it contextual information and leads to a four-fold ... See full document

... learn from sen- tences paired with logical forms following vari- ous modeling ...logical- from annotations, e.g., from sentences paired with conversational logs (Artzi and Zettlemoyer, 2011), system ... See full document

... controlled natural language (CNL) to deal with ambiguities of natural ...of natural language with a restricted syn- tax and semantics in order to reduce or eliminate ambiguity and ... See full document

... Regular expressions are an efficient tool to rep- resent structured data with specific rules in a va- riety of fields such as natural language process- ing or text classification. However, it is not al- ... See full document