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Publication search results
found 46 matches
- 2013
- Eneko Agirre, Nikolaos Aletras, Aitor Gonzalez-Agirre, German Rigau, Mark Stevenson:
UBC_UOS-TYPED: Regression for typed-similarity. *SEM@NAACL-HLT 2013: 132-137 - Eneko Agirre, Daniel M. Cer, Mona T. Diab, Aitor Gonzalez-Agirre, Weiwei Guo:
*SEM 2013 shared task: Semantic Textual Similarity. *SEM@NAACL-HLT 2013: 32-43 - Carmen Banea, Yoonjung Choi, Lingjia Deng, Samer Hassan, Michael Mohler, Bishan Yang, Claire Cardie, Rada Mihalcea, Janyce Wiebe:
CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge. *SEM@NAACL-HLT 2013: 221-228 - Alberto Barrón-Cedeño, Lluís Màrquez, María Fuentes Fort, Horacio Rodríguez, Jordi Turmo:
UPC-CORE: What Can Machine Translation Evaluation Metrics and Wikipedia Do for Estimating Semantic Textual Similarity? *SEM@NAACL-HLT 2013: 143-147 - Islam Beltagy, Cuong Chau, Gemma Boleda, Dan Garrette, Katrin Erk, Raymond J. Mooney:
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form. *SEM@NAACL-HLT 2013: 11-21 - Ergun Biçici, Josef van Genabith:
CNGL-CORE: Referential Translation Machines for Measuring Semantic Similarity. *SEM@NAACL-HLT 2013: 234-240 - Davide Buscaldi, Joseph Le Roux, Jorge J. García Flores, Adrian Popescu:
LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features. *SEM@NAACL-HLT 2013: 162-168 - Qingqing Cai, Alexander Yates:
Semantic Parsing Freebase: Towards Open-domain Semantic Parsing. *SEM@NAACL-HLT 2013: 328-338 - Annalina Caputo, Pierpaolo Basile, Giovanni Semeraro:
UNIBA-CORE: Combining Strategies for Semantic Textual Similarity. *SEM@NAACL-HLT 2013: 169-175 - Alexander Chavez, Héctor Dávila, Yoan Gutiérrez, Armando Collazo, José Ignacio Abreu, Antonio Fernández Orquín, Andrés Montoyo, Rafael Muñoz:
UMCC_DLSI: Textual Similarity based on Lexical-Semantic features. *SEM@NAACL-HLT 2013: 109-118 - Danilo Croce, Valerio Storch, Roberto Basili:
UNITOR-CORE_TYPED: Combining Text Similarity and Semantic Filters through SV Regression. *SEM@NAACL-HLT 2013: 59-65 - Avishek Dan, Pushpak Bhattacharyya:
CFILT-CORE: Semantic Textual Similarity using Universal Networking Language. *SEM@NAACL-HLT 2013: 216-220 - David A. Forsyth:
More Words and Bigger Pictures. *SEM@NAACL-HLT 2013: 254 - Spandana Gella, Paul Cook, Bo Han:
Unsupervised Word Usage Similarity in Social Media Texts. *SEM@NAACL-HLT 2013: 248-253 - Spandana Gella, Bahar Salehi, Marco Lui, Karl Grieser, Paul Cook, Timothy Baldwin:
UniMelb_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity. *SEM@NAACL-HLT 2013: 207-215 - Yoav Goldberg, Jon Orwant:
A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books. *SEM@NAACL-HLT 2013: 241-247 - Edward Grefenstette:
Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors. *SEM@NAACL-HLT 2013: 1-10 - Paul Greiner, Thomas Proisl, Stefan Evert, Besim Kabashi:
KLUE-CORE: A regression model of semantic textual similarity. *SEM@NAACL-HLT 2013: 181-186 - Lushan Han, Abhay L. Kashyap, Tim Finin, James Mayfield, Jonathan Weese:
UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems. *SEM@NAACL-HLT 2013: 44-52 - Michael Heilman, Nitin Madnani:
HENRY-CORE: Domain Adaptation and Stacking for Text Similarity. *SEM@NAACL-HLT 2013: 96-102 - Andrea Horbach, Alexis Palmer, Manfred Pinkal:
Using the text to evaluate short answers for reading comprehension exercises. *SEM@NAACL-HLT 2013: 286-295 - Sergio Jiménez, Claudia Jeanneth Becerra, Alexander F. Gelbukh:
SOFTCARDINALITY-CORE: Improving Text Overlap with Distributional Measures for Semantic Textual Similarity. *SEM@NAACL-HLT 2013: 194-201 - Mikhail Kozhevnikov, Ivan Titov:
Bootstrapping Semantic Role Labelers from Parallel Data. *SEM@NAACL-HLT 2013: 317-327 - Nikolaos Malandrakis, Elias Iosif, Vassiliki Prokopi, Alexandros Potamianos, Shrikanth S. Narayanan:
DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation. *SEM@NAACL-HLT 2013: 103-108 - Erwin Marsi, Hans Moen, Lars Bungum, Gleb Sizov, Björn Gambäck, André Lynum:
NTNU-CORE: Combining strong features for semantic similarity. *SEM@NAACL-HLT 2013: 66-73 - Sara Noeman:
IBM_EG-CORE: Comparing multiple Lexical and NE matching features in measuring Semantic Textual similarity. *SEM@NAACL-HLT 2013: 187-193 - Lubomír Otrusina, Pavel Smrz:
BUT-TYPED: Using domain knowledge for computing typed similarity. *SEM@NAACL-HLT 2013: 119-123 - Tamara Polajnar, Laura Rimell, Douwe Kiela:
UCAM-CORE: Incorporating structured distributional similarity into STS. *SEM@NAACL-HLT 2013: 85-89 - Judita Preiss, Mark Stevenson:
Distinguishing Common and Proper Nouns. *SEM@NAACL-HLT 2013: 80-84 - Michael Roth, Anette Frank:
Automatically Identifying Implicit Arguments to Improve Argument Linking and Coherence Modeling. *SEM@NAACL-HLT 2013: 306-316
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