Functional Representation of Enzymes by Specific Peptides (2007)
Vered Kunik, Yasmine Meroz, Zach Solan, Ben Sandbank, Uri Weingart, Eytan Ruppin, ...
Predicting the function of a protein from its sequence is a long-standing goal of bioinformatic research. While sequence similarity is the most popular tool used for this purpose, sequence motifs may...
Functional representation of enzymes by specific peptides (2007)
Vered Kunik, Yasmine Meroz, Zach Solan, Ben Sandbank, Uri Weingart, Eytan Ruppin, ...
Predicting the function of a protein from its sequence is a long-standing goal of bioinformatic research. While sequence-similarity is the most popular tool used for this purpose, sequence-motifs may...
Some Tests of an Unsupervised Model of Language Acquisition (2004)
Bo Pedersen, Shimon Edelman, Zach Solan, David Horn
We outline an unsupervised language acquisition algorithm and offer some psycholinguistic support for a model based on it. Our approach resembles the Construction Grammar in its general philosophy,...
Bridging Computational, Formal and Psycholinguistic Approaches to Language (2004)
Shimon Edelman, Zach Solan, David Horn
We compare our model of unsupervised learning of linguistic structures, ADIOS [1, 2, 3], to some recent work in computational linguistics and in grammar theory. Our approach resembles the...
Unsupervised Context Sensitive Language (2004)
Zach Solan, David Horn, Shimon Edelman
We describe a pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of linguistic structures from a plain natural-language corpus. This paper addresses...
Rich Syntax from a Raw Corpus: (2003)
Shimon Edelman, Zach Solan, David Horn
We compare our model of unsupervised learning of linguistic structures, ADIOS [1], to some recent work in computational linguistics and in grammar theory. Our approach resembles the Construction...
Rich Syntax from a Raw Corpus: (2003)
Shimon Edelman, Zach Solan, David Horn
We compare our model of unsupervised learning of linguistic structures, ADIOS [1], to some recent work in computational linguistics and in grammar theory. Our approach resembles the Construction...
Zach Solan, David Horn, Shimon Edelman
We describe a linguistic pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of corpus data. This is achieved by compactly coding recursively...
Unsupervised Context Sensitive Language (2003)
Zach Solan, David Horn, Shimon Edelman
We describe a pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of linguistic structures from a plain natural-language corpus. This paper addresses...
Unsupervised Efficient Learning and Representation of Language Structure (2003)
Zach Solan, David Horn, Shimon Edelman
We describe a linguistic pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of corpus data. This is achieved by compactly coding recursively...
Automatic Acquisition and Efficient (2003)
Zach Solan, David Horn, Shimon Edelman
The distributional principle according to which morphemes that occur in identical contexts belong, in some sense, to the same category [1] has been advanced as a means for extracting syntactic...
Automatic Acquisition and Efficient Representation of Syntactic Structures (2003)
Zach Solan, David Horn, Shimon Edelman
The distributional principle according to which morphemes that occur in identical contexts belong, in some sense, to the same category [1] has been advanced as a means for extracting syntactic...
Evolution of Language Diversity: The Survival of the Fitness (2002)
Zach Solan, David Horn, Shimon Edelman
We examined the role of fitness, commonly assumed without proof to be conferred by the mastery of language, in shaping the dynamics of language evolution. To that end, we introduced island migration...
Placing Search in Context: The Concept (2002)
Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman, ...
This paper presents a new conceptual paradigm for performing search in context, that largely automates the search process, providing even non-professional users with highly relevant results. This...
Placing Search in Context: The Concept Revisited (2001)
Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman
Keyword-based search engines are in widespread use today as a popular means for Web-based information retrieval. Although such systems seem deceptively simple, a considerable amount of skill is...
Placing Search in Context: The Concept Revisited (2001)
Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman
We describe a new paradigm for performing search in context. In the IntelliZap system we developed, search is initiated from a text query marked by the user in a document she views, and is guided by...
Placing Search in Context: The Concept Revisited (2001)
Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman
We describe a new paradigm for performing search in context. In the IntelliZap system we developed, search is initiated from a text query marked by the user in a document she views, and is guided by...
Placing Search in Context: The Concept Revisited (2001)
Finkelstein, Lev, Gabrilovich, Evgeniy, Matias, Yossi, Rivlin, Ehud, Solan, Zach, Wolfman, Gadi, ...
We describe a new paradigm for performing search in context. In the IntelliZap system we developed, search is initiated from a text query marked by the user in a document she views, and is guided by...
Similarity in Perception: A Window to Brain Organization (2000)
This paper presents a neural model of similarity perception in identification tasks. It is based on self-organizing maps and population coding and is examined through five different identification...
Unsupervised learning of natural languages
Solan, Zach, Horn, David, Ruppin, Eytan, Edelman, Shimon
We address the problem, fundamental to linguistics, bioinformatics, and certain other disciplines, of using corpora of raw symbolic sequential data to infer underlying rules that govern their...
Unsupervised learning of natural languages
Solan, Zach, Horn, David, Ruppin, Eytan, Edelman, Shimon
We address the problem, fundamental to linguistics, bioinformatics, and certain other disciplines, of using corpora of raw symbolic sequential data to infer underlying rules that govern their...
Functional Representation of Enzymes by Specific Peptides
Kunik, Vered, Meroz, Yasmine, Solan, Zach, Sandbank, Ben, Weingart, Uri, Ruppin, Eytan, ...
Predicting the function of a protein from its sequence is a long-standing goal of bioinformatic research. While sequence similarity is the most popular tool used for this purpose, sequence motifs may...