Joint Conference on Lexical and Computational Semantics (2013)
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity
Mona Diab
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Tim Baldwin
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Marco Baroni
Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors
Edward Grefenstette
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form
Islam Beltagy
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Cuong Chau
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Gemma Boleda
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Dan Garrette
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Katrin Erk
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Raymond Mooney
Coarse to Fine Grained Sense Disambiguation in Wikipedia
Hui Shen
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Razvan Bunescu
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Rada Mihalcea
*SEM 2013 shared task: Semantic Textual Similarity
Eneko Agirre
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Daniel Cer
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Mona Diab
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Aitor Gonzalez-Agirre
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Weiwei Guo
UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems
Lushan Han
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Abhay L. Kashyap
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Tim Finin
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James Mayfield
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Jonathan Weese
iKernels-Core: Tree Kernel Learning for Textual Similarity
Aliaksei Severyn
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Massimo Nicosia
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Alessandro Moschitti
UNITOR-CORE_TYPED: Combining Text Similarity and Semantic Filters through SV Regression
Danilo Croce
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Valerio Storch
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Roberto Basili
NTNU-CORE: Combining strong features for semantic similarity
Erwin Marsi
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Hans Moen
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Lars Bungum
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Gleb Sizov
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Björn Gambäck
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André Lynum
SXUCFN-Core: STS Models Integrating FrameNet Parsing Information
Sai Wang
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Ru Li
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Ruibo Wang
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Zhiqiang Wang
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Xia Zhang
Distinguishing Common and Proper Nouns
Judita Preiss
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Mark Stevenson
UCAM-CORE: Incorporating structured distributional similarity into STS
Tamara Polajnar
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Laura Rimell
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Douwe Kiela
PolyUCOMP-CORE_TYPED: Computing Semantic Textual Similarity using Overlapped Senses
Jian Xu
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Qin Lu
HENRY-CORE: Domain Adaptation and Stacking for Text Similarity
Michael Heilman
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Nitin Madnani
DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation
Nikolaos Malandrakis
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Elias Iosif
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Vassiliki Prokopi
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Alexandros Potamianos
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Shrikanth Narayanan
UMCC_DLSI: Textual Similarity based on Lexical-Semantic features
Alexander Chávez
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Héctor Dávila
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Yoan Gutiérrez
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Armando Collazo
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José I. Abreu
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Antonio Fernández Orquín
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Andrés Montoyo
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Rafael Muñoz
BUT-TYPED: Using domain knowledge for computing typed similarity
Lubomir Otrusina
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Pavel Smrz
ECNUCS: Measuring Short Text Semantic Equivalence Using Multiple Similarity Measurements
Tiantian Zhu
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Lan Man
UBC_UOS-TYPED: Regression for typed-similarity
Eneko Agirre
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Nikolaos Aletras
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Aitor Gonzalez-Agirre
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German Rigau
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Mark Stevenson
KnCe2013-CORE:Semantic Text Similarity by use of Knowledge Bases
Hermann Ziak
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Roman Kern
UPC-CORE: What Can Machine Translation Evaluation Metrics and Wikipedia Do for Estimating Semantic Textual Similarity?
Alberto Barrón-Cedeño
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Lluís Màrquez
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Maria Fuentes
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Horacio Rodríguez
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Jordi Turmo
MayoClinicNLP–CORE: Semantic representations for textual similarity
Stephen Wu
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Dongqing Zhu
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Ben Carterette
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Hongfang Liu
SRIUBC-Core: Multiword Soft Similarity Models for Textual Similarity
Eric Yeh
LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features
Davide Buscaldi
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Joseph Le Roux
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Jorge J. García Flores
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Adrian Popescu
UNIBA-CORE: Combining Strategies for Semantic Textual Similarity
Annalina Caputo
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Pierpaolo Basile
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Giovanni Semeraro
DLS@CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity
Md. Sultan
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Steven Bethard
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Tamara Sumner
KLUE-CORE: A regression model of semantic textual similarity
Paul Greiner
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Thomas Proisl
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Stefan Evert
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Besim Kabashi
IBM_EG-CORE: Comparing multiple Lexical and NE matching features in measuring Semantic Textual similarity
Sara Noeman
SOFTCARDINALITY-CORE: Improving Text Overlap with Distributional Measures for Semantic Textual Similarity
Sergio Jimenez
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Claudia Becerra
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Alexander Gelbukh
CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity
Ehsan Shareghi
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Sabine Bergler
UniMelb_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity
Spandana Gella
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Bahar Salehi
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Marco Lui
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Karl Grieser
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Paul Cook
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Timothy Baldwin
CFILT-CORE: Semantic Textual Similarity using Universal Networking Language
Avishek Dan
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Pushpak Bhattacharyya
CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge
Carmen Banea
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Yoonjung Choi
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Lingjia Deng
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Samer Hassan
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Michael Mohler
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Bishan Yang
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Claire Cardie
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Rada Mihalcea
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Jan Wiebe
INAOE_UPV-CORE: Extracting Word Associations from Document Corpora to estimate Semantic Textual Similarity
Fernando Sánchez-Vega
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Manuel Montes-y-Gómez
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Paolo Rosso
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Luis Villaseñor-Pineda
CNGL-CORE: Referential Translation Machines for Measuring Semantic Similarity
Ergun Biçici
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Josef van Genabith
A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books
Yoav Goldberg
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Jon Orwant
Unsupervised Word Usage Similarity in Social Media Texts
Spandana Gella
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Paul Cook
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Bo Han
More Words and Bigger Pictures
David Forsyth
Exploring Vector Space Models to Predict the Compositionality of German Noun-Noun Compounds
Sabine Schulte im Walde
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Stefan Müller
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Stefan Roller
Predicting the Compositionality of Multiword Expressions Using Translations in Multiple Languages
Bahar Salehi
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Paul Cook
Metaphor Identification as Interpretation
Ekaterina Shutova
Using the text to evaluate short answers for reading comprehension exercises
Andrea Horbach
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Alexis Palmer
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Manfred Pinkal
Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach
Hansen Andrew Schwartz
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Johannes Eichstaedt
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Eduardo Blanco
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Lukasz Dziurzynski
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Margaret L. Kern
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Stephanie Ramones
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Martin Seligman
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Lyle Ungar
Automatically Identifying Implicit Arguments to Improve Argument Linking and Coherence Modeling
Michael Roth
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Anette Frank
Bootstrapping Semantic Role Labelers from Parallel Data
Mikhail Kozhevnikov
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Ivan Titov
Semantic Parsing Freebase: Towards Open-domain Semantic Parsing
Qingqing Cai
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Alexander Yates