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Ilia Pogrebezky

dblp:153/9612 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Requirements engineering and software design · 100%
Artificial intelligence
1 paper
Language models and text generation · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design › specification
live sequence charts
0.212014
Semantic Parsing Using Content and Context: A Case Study from Requirements Elicitation · EMNLP 2014
Requirements engineering and software design
requirements elicitation
0.212014
Semantic Parsing Using Content and Context: A Case Study from Requirements Elicitation · EMNLP 2014

Methods — techniques the papers use, named apart from their topics

semantic parsing · 0.4generative probabilistic model · 0.4
YearPublicationVenuePosition
2014 Semantic Parsing Using Content and Context: A Case Study from Requirements Elicitation
abstract
We present a model for the automatic semantic analysis of requirements elicitation documents.Our target semantic representation employs live sequence charts, a multi-modal visual language for scenariobased programming, which can be directly translated into executable code.The architecture we propose integrates sentencelevel and discourse-level processing in a generative probabilistic framework for the analysis and disambiguation of individual sentences in context.We show empirically that the discourse-based model consistently outperforms the sentence-based model when constructing a system that reflects all the static (entities, properties) and dynamic (behavioral scenarios) requirements in the document.
Reut Tsarfaty, Ilia Pogrebezky, Guy Weiss, Yaarit Natan, Smadar Szekely, David Harel
EMNLP2