Focused Entailment Graphs for Open IE Propositions

نویسندگان

  • Omer Levy
  • Ido Dagan
  • Jacob Goldberger
چکیده

Open IE methods extract structured propositions from text. However, these propositions are neither consolidated nor generalized, and querying them may lead to insufficient or redundant information. This work suggests an approach to organize open IE propositions using entailment graphs. The entailment relation unifies equivalent propositions and induces a specific-to-general structure. We create a large dataset of gold-standard proposition entailment graphs, and provide a novel algorithm for automatically constructing them. Our analysis shows that predicate entailment is extremely context-sensitive, and that current lexical-semantic resources do not capture many of the lexical inferences induced by proposition entailment.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Entailment graphs for text exploration

Taxonomy-based representations are widely used to model compactly large amounts of textual data. While current methods allow organizing knowledge at the lexical level (keywords/concepts/topics), there is an increasing demand to move towards more informative representations, which express properties of concepts and relations among them. This demand triggered our research on statement entailment ...

متن کامل

Entailment Graphs for Text Analytics in the Excitement Project

In the last years, a relevant research line in Natural Language Processing has focused on detecting semantic relations among portions of text, including entailment, similarity, temporal relations, and, with a less degree, causality. The attention on such semantic relations has raised the demand to move towards more informative meaning representations, which express properties of concepts and re...

متن کامل

Global Learning of Focused Entailment Graphs

We propose a global algorithm for learning entailment relations between predicates. We define a graph structure over predicates that represents entailment relations as directed edges, and use a global transitivity constraint on the graph to learn the optimal set of edges, by formulating the optimization problem as an Integer Linear Program. We motivate this graph with an application that provid...

متن کامل

Proposition Knowledge Graphs

Open Information Extraction (Open IE) is a promising approach for unrestricted Information Discovery (ID). While Open IE is a highly scalable approach, allowing unsupervised relation extraction from open domains, it currently has some limitations. First, it lacks the expressiveness needed to properly represent and extract complex assertions that are abundant in text. Second, it does not consoli...

متن کامل

Global Learning of Textual Entailment Graphs

Two decades after the introduction of the World Wide Web, the world is experiencing an “information explosion”, that is, a rapid increase in the amount of available textual information (55). Consequently, the longstanding dream of developing systems that perform semantic inference over natural language text has become ever more pressing. Such systems are invaluable for many natural language und...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014