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Inducing a Semantically Annotated Lexicon via EM-Based Clustering
Mats Rooth
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Stefan Riezler
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Detlef Prescher
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Glenn Carroll
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Franz Beil
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Paper Details:
Month: June
Year: 1999
Location: College Park, Maryland, USA
Venue:
ACL |
Citations
URL
Exploiting auxiliary distributions in stochastic unification-based grammars
Mark Johnson
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Stefan Riezler
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Learning Word Clusters from Data Types
Paolo Allegrini
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Simonetta Montemagni
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Vito Pirrelli
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Using a Probabilistic Class-Based Lexicon for Lexical Ambiguity Resolution
Detlef Prescher
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Stefan Riezler
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Mats Rooth
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An Unsupervised Learning Method for Associative Relationships between Verb Phrases
Kentaro Torisawa
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Probabilistic Models of Verb-Argument Structure
Daniel Gildea
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Automated Induction of Sense in Context
James Pustejovsky
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Patrick Hanks
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Anna Rumshisky
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Using Hidden Markov Random Fields to Combine Distributional and Pattern-Based Word Clustering
Nobuhiro Kaji
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Masaru Kitsuregawa
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Semantic Role Features for Machine Translation
Ding Liu
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Daniel Gildea
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Metaphor Identification Using Verb and Noun Clustering
Ekaterina Shutova
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Lin Sun
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Anna Korhonen
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Improving Statistical Machine Translation with Selectional Preferences
Haiqing Tang
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Deyi Xiong
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Min Zhang
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Zhengxian Gong
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Modeling Context-sensitive Selectional Preference with Distributed Representations
Naoya Inoue
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Yuichiroh Matsubayashi
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Masayuki Ono
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Naoaki Okazaki
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Kentaro Inui
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Modelling Polysemy in Adjective Classes by Multi-Label Classification
Gemma Boleda
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Sabine Schulte im Walde
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Toni Badia
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Flexible, Corpus-Based Modelling of Human Plausibility Judgements
Sebastian Padó
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Ulrike Padó
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Katrin Erk
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Discriminative Learning of Selectional Preference from Unlabeled Text
Shane Bergsma
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Dekang Lin
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Randy Goebel
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Unsupervised Learning of Selectional Restrictions and Detection of Argument Coercions
Kirk Roberts
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Sanda Harabagiu
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Probabilistic models of similarity in syntactic context
Diarmuid Ó Séaghdha
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Anna Korhonen
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A Neural Network Approach to Selectional Preference Acquisition
Tim Van de Cruys
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A Comparison of Selectional Preference Models for Automatic Verb Classification
Will Roberts
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Markus Egg
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Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
William L. Hamilton
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Kevin Clark
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Jure Leskovec
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Dan Jurafsky
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Inferring Selectional Preferences from Part-Of-Speech N-grams
Hyeju Jang
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Jack Mostow
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Toward Medical Ontology using Natural Language Processing
Eiji Aramaki
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Takeshi Imai
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Masayo Kashiwagi
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Masayuki Kajino
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Kengo Miyo
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Kazuhiko Ohe
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Class-Based Probability Estimation Using a Semantic Hierarchy
Stephen Clark
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David Weir
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Automatic Labeling of Semantic Roles
Daniel Gildea
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Daniel Jurafsky
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A Probabilistic Account of Logical Metonymy
Maria Lapata
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Alex Lascarides
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Using the Web to Obtain Frequencies for Unseen Bigrams
Frank Keller
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Mirella Lapata
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Co-occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity
Julie Weeds
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David Weir
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Experiments on the Automatic Induction of German Semantic Verb Classes
Sabine Schulte im Walde
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Modeling Regular Polysemy: A Study on the Semantic Classification of Catalan Adjectives
Gemma Boleda
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Sabine Schulte im Walde
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Toni Badia
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Statistical Metaphor Processing
Ekaterina Shutova
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Simone Teufel
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Anna Korhonen
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Probabilistic Distributional Semantics with Latent Variable Models
Diarmuid Ó Séaghdha
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Anna Korhonen
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Class-Based Probability Estimation Using a Semantic Hierarchy
Stephen Clark
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David Weir
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Inducing Probabilistic Syllable Classes Using Multivariate Clustering
Karin Müller
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Bernd Möbius
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Detlef Prescher
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A Simple, Similarity-based Model for Selectional Preferences
Katrin Erk
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Inducing Gazetteers for Named Entity Recognition by Large-Scale Clustering of Dependency Relations
Jun’ichi Kazama
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Kentaro Torisawa
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Combining EM Training and the MDL Principle for an Automatic Verb Classification Incorporating Selectional Preferences
Sabine Schulte im Walde
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Christian Hying
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Christian Scheible
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Helmut Schmid
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Latent Variable Models of Selectional Preference
Diarmuid Ó Séaghdha
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Improving the Use of Pseudo-Words for Evaluating Selectional Preferences
Nathanael Chambers
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Daniel Jurafsky
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Collocation Extraction beyond the Independence Assumption
Gerlof Bouma
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Automatic Selectional Preference Acquisition for Latin Verbs
Barbara McGillivray
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Decentralized Entity-Level Modeling for Coreference Resolution
Greg Durrett
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David Hall
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Dan Klein
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Improved Lexical Acquisition through DPP-based Verb Clustering
Roi Reichart
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Anna Korhonen
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Learning to Extract International Relations from Political Context
Brendan O’Connor
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Brandon M. Stewart
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Noah A. Smith
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A Random Walk Approach to Selectional Preferences Based on Preference Ranking and Propagation
Zhenhua Tian
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Hengheng Xiang
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Ziqi Liu
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Qinghua Zheng
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evision PDF of 'SPred: Large-scale Harvesting of Semantic Predicates
Tiziano Flati
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Roberto Navigli
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Perceptually Grounded Selectional Preferences
Ekaterina Shutova
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Niket Tandon
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Gerard de Melo
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Automatic Semantic Classification of German Preposition Types: Comparing Hard and Soft Clustering Approaches across Features
Maximilian Köper
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Sabine Schulte im Walde
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“Could you make me a favour and do coffee, please?”: Implications for Automatic Error Correction in English and Dutch
Sophia Katrenko
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Learning Semantics and Selectional Preference of Adjective-Noun Pairs
Karl Moritz Hermann
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Chris Dyer
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Phil Blunsom
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Stephen Pulman
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Regular polysemy: A distributional model
Gemma Boleda
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Sebastian Padó
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Jason Utt
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Syntactic Transfer Patterns of German Particle Verbs and their Impact on Lexical Semantics
Stefan Bott
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Sabine Schulte im Walde
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Embedded Semantic Lexicon Induction with Joint Global and Local Optimization
Sujay Kumar Jauhar
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Eduard Hovy
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Identifying Events using Similarity and Context
Dominic R. Jones
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Cynthia A. Thompson
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Semantic Role Labelling With Chunk Sequences
Ulrike Baldewein
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Katrin Erk
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Sebastian Padó
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Detlef Prescher
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Revealing Phonological Similarities between Related Languages from Automatically Generated Parallel Corpora
Karin Müller
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Linguistic Distances
John Nerbonne
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Erhard Hinrichs
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Characterizing Response Types and Revealing Noun Ambiguity in German Association Norms
Alissa Melinger
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Sabine Schulte im Walde
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Andrea Weber
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Can Human Verb Associations Help Identify Salient Features for Semantic Verb Classification?
Sabine Schulte im Walde
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A Non-negative Tensor Factorization Model for Selectional Preference Induction
Tim Van de Cruys
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A Look inside the Distributionally Similar Terms
Kow Kuroda
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Jun’ichi Kazama
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Kentaro Torisawa
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Predicting Fine-grained Social Roles with Selectional Preferences
Charley Beller
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Craig Harman
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Benjamin Van Durme
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Unsupervised Induction of Compositional Types for English Adjective-Noun Pairs
Wiebke Petersen
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Oliver Hellwig
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Exploring Soft-Clustering for German (Particle) Verbs across Frequency Ranges
Moritz Wittmann
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Maximilian Köper
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Sabine Schulte im Walde
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No URLs Found
Field Of Study
Language
English
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