Demo Data from SIGIR 2026 / reviewers in the wild / expert
Yohai Cohen
dblp:43/9075
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3Databases, data management, data science and information retrieval · 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.
| Artificial intelligence
1 paper |
Information extraction and text analysis · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis › natural language semantics
figurative language processing |
0.1 | 1 | 2011 | Literal and Metaphorical Sense Identification through Concrete and Abstract Context · EMNLP 2011 |
Natural language and speech › Information extraction and text analysis › natural language semantics › figurative language processing
metaphor detection |
0.1 | 1 | 2011 | Literal and Metaphorical Sense Identification through Concrete and Abstract Context · EMNLP 2011 |
Natural language and speech › Information extraction and text analysis
word sense disambiguation |
0.0 | 1 | 2011 | Literal and Metaphorical Sense Identification through Concrete and Abstract Context · EMNLP 2011 |
Methods — techniques the papers use, named apart from their topics
concrete and abstract context analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Proactive screening for depression through metaphorical and automatic text analysis
Yair Neuman, Yohai Cohen, Dan Assaf, Gabi Kedma |
Artif. Intell. Medicine | 2 |
| 2011 | Literal and Metaphorical Sense Identification through Concrete and Abstract Context
Peter D. Turney, Yair Neuman, Dan Assaf, Yohai Cohen |
EMNLP | 4 |
| 2010 | Using Web-Intelligence for Excavating the Emerging Meaning of Target-ConceptsabstractRepresenting meaning is a major challenge facing Web 3.0. However, it is extremely difficult to excavate the meaning of a target concept from textual data as there is no one-to-one correspondence between the textual unit in which the target concept is embedded and the conceptual content that we would like to excavate. In this paper, we propose one possible approach for addressing this challenge, by harvesting the Web for metaphorical relations in which the target concept is an argument. In this paper, we present several preliminary results of "Pedesis" - a novel automated system for excavating the meaning of target concepts - and plan to present at the oral presentation an application of this methodology for identifying depression in free text. Yair Neuman, Gabi Kedma, Yohai Cohen, Ophir Nave |
Web Intelligence | 3 |