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Identifying Relations for Open Information Extraction
TLDR
This paper shows that the output of state-of-the-art Open IE systems is rife with uninformative and incoherent extractions. Expand
Open Information Extraction: The Second Generation
TLDR
This paper describes the second generation of Open IE systems, which rely on a novel model of how relations and arguments are expressed in English sentences to double precision/recall compared with previous systems such as TEXTRUNNER and WOE. Expand
Paraphrase-Driven Learning for Open Question Answering
TLDR
We study question answering as a machine learning problem, and induce a function that maps open-domain questions to queries over a database of web extractions. Expand
Open question answering over curated and extracted knowledge bases
TLDR
We present OQA, the first approach to leverage both curated and extracted KBs and demonstrate that it achieves up to twice the precision and recall of state-of-the-art Open QA system. Expand
Blind men and elephants: What do citation summaries tell us about a research article?
TLDR
The old Asian legend about the blind men and the elephant comes to mind when looking at how different authors of scientific papers describe a piece of related prior work. Expand
Blind men and elephants: What do citation summaries tell us about a research article?
TLDR
The old Asian legend about the blind men and the elephant comes to mind when looking at how different authors of scientific papers describe a piece of related prior work. Expand
Chinese Open Relation Extraction for Knowledge Acquisition
TLDR
This study presents the Chinese Open Relation Extraction (CORE) system that is able to extract entity-relation triples from Chinese free texts based on a series of NLP techniques, i.e., word segmentation, POS tagging, syntactic parsing, and extraction rules. Expand
- based Named Entity Disambiguation to Arbitrary Web Text
This paper investigates the “named-entity disambiguation” task on the Web—identifying the referent of a string, found on an arbitrary Web page. The GROUNDER system, introduced in this paper,Expand
IKE - An Interactive Tool for Knowledge Extraction
TLDR
We present IKE, a new extraction tool that performs fast, interactive bootstrapping to develop high-quality extraction patterns for targeted relations. Expand
MavenRank: Identifying Influential Members of the US Senate Using Lexical Centrality
TLDR
MavenRank is based on lexical centrality: a random walk is performed on a graph in which each node is a participant in the discussion and links two participants who use similar rhetoric. Expand
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