Papers for Relevance Assessment by Maayan Geffet

Research Question: Our basic goal was also to develop and precisely define the criterion for judging word similarity and for evaluating the distributional similarity output.

Reformulation: Develop and precisely define the criterion for judging word similarity and for evaluating the distributional similarity output.

Paper ID
(Link to PDF)

Title

Author(s)

W03-1607

Criterion for Judging Request Intention in Response Texts of Open-Ended Questionnaires

Hiroko Inui; Masao Utiyama; Hitoshi Isahara

E03-1003

Toward Evaluation of Writing Style: Overly Repetitious Word Use

Jill Burstein, Magdalena Wolska

C02-1090

Taxonomy Learning - Factoring the Structure of a Taxonomy into a Semantic Classification Decision

Viktor Pekar; Steffen Staab

36-153

Feature Vector Quality and Distributional Similarity

Maayan Geffet and Ido Dagan

W05-1011

Approximate Searching for Distributional Similarity

James Gorman; James Curran

W99-0903

Dual Distributional Verb Sense Disambiguation with Small Corpora and Machine Readable Dictionaries

Jeong-Mi Cho; Jungyun Seo; Gil Chang Kim

P99-1041

Automatic Identification of Non-compositional Phrases

Dekang Lin

P99-1004

Measures of Distributional Similarity

Lillian Lee

C88-1083

A new formal tool: Functorial variables representing assertions and presuppositions

Ingolf MAX

W97-0813

Inferring Semantic Similarity from Distributional Evidence: an Analogy-based Approach to Word Sense Disambiguation

Stefano Federici; Simonetta Montemagni; Vito Pirrelli

W03-0902

Extracting and evaluating general world knowledge from the Brown Corpus

Lenhart Schubert; Matthew Tong

P99-1005

Distributional Similarity Models: Clustering vs. Nearest Neighbors

Lillian Lee

J98-1004

Automatic Word Sense Discrimination

Hinrich Schutze

W03-0418

Identifying Events using Similarity and Context

Dominic R. Jones; Cynthia A. Thompson

A00-2034

Using Semantic Preferences to Identify Verbal Participation in Role Switching Alternations

Diana McCarthy