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DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector Composition
Md Arafat Sultan
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Steven Bethard
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Tamara Sumner
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Paper Details:
Month: June
Year: 2015
Location: Denver, Colorado
Venue:
*SEMEVAL |
Citations
URL
Building a Monolingual Parallel Corpus for Text Simplification Using Sentence Similarity Based on Alignment between Word Embeddings
Tomoyuki Kajiwara
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Mamoru Komachi
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Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment
Md Arafat Sultan
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Steven Bethard
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Tamara Sumner
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MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting
Tomoyuki Kajiwara
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Mamoru Komachi
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Daichi Mochihashi
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Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification
Tomoyuki Kajiwara
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Atsushi Fujita
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Bayesian Supervised Domain Adaptation for Short Text Similarity
Md Arafat Sultan
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Jordan Boyd-Graber
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Tamara Sumner
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Fast and Easy Short Answer Grading with High Accuracy
Md Arafat Sultan
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Cristobal Salazar
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Tamara Sumner
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A Joint Model for Answer Sentence Ranking and Answer Extraction
Md Arafat Sultan
|
Vittorio Castelli
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Radu Florian
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FBK HLT-MT at SemEval-2016 Task 1: Cross-lingual Semantic Similarity Measurement Using Quality Estimation Features and Compositional Bilingual Word Embeddings
Duygu Ataman
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José G. C. de Souza
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Marco Turchi
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Matteo Negri
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UWB at SemEval-2016 Task 1: Semantic Textual Similarity using Lexical, Syntactic, and Semantic Information
Tomáš Brychcín
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Lukáš Svoboda
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HHU at SemEval-2016 Task 1: Multiple Approaches to Measuring Semantic Textual Similarity
Matthias Liebeck
|
Philipp Pollack
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Pashutan Modaresi
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Stefan Conrad
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Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity.
Barbara Rychalska
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Katarzyna Pakulska
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Krystyna Chodorowska
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Wojciech Walczak
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Piotr Andruszkiewicz
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ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity
Junfeng Tian
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Man Lan
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SAARSHEFF at SemEval-2016 Task 1: Semantic Textual Similarity with Machine Translation Evaluation Metrics and (eXtreme) Boosted Tree Ensembles
Liling Tan
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Carolina Scarton
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Lucia Specia
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Josef van Genabith
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DTSim at SemEval-2016 Task 1: Semantic Similarity Model Including Multi-Level Alignment and Vector-Based Compositional Semantics
Rajendra Banjade
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Nabin Maharjan
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Dipesh Gautam
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Vasile Rus
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DLS@CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity
Md Arafat Sultan
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Steven Bethard
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Tamara Sumner
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UoB-UK at SemEval-2016 Task 1: A Flexible and Extendable System for Semantic Text Similarity using Types, Surprise and Phrase Linking
Harish Tayyar Madabushi
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Mark Buhagiar
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Mark Lee
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BIT at SemEval-2016 Task 1: Sentence Similarity Based on Alignments and Vector with the Weight of Information Content
Hao Wu
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Heyan Huang
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Wenpeng Lu
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IHS-RD-Belarus at SemEval-2016 Task 1: Multistage Approach for Measuring Semantic Similarity
Maryna Beliuha
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Maryna Chernyshevich
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Sensible at SemEval-2016 Task 11: Neural Nonsense Mangled in Ensemble Mess
Gillin Nat
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UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement
Hua He
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John Wieting
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Kevin Gimpel
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Jinfeng Rao
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Jimmy Lin
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SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation
Daniel Cer
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Mona Diab
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Eneko Agirre
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Iñigo Lopez-Gazpio
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Lucia Specia
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BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual Similarity
Hao Wu
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Heyan Huang
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Ping Jian
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Yuhang Guo
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Chao Su
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FCICU at SemEval-2017 Task 1: Sense-Based Language Independent Semantic Textual Similarity Approach
Basma Hassan
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Samir AbdelRahman
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Reem Bahgat
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Ibrahim Farag
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ECNU at SemEval-2017 Task 1: Leverage Kernel-based Traditional NLP features and Neural Networks to Build a Universal Model for Multilingual and Cross-lingual Semantic Textual Similarity
Junfeng Tian
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Zhiheng Zhou
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Man Lan
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Yuanbin Wu
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Predicting Machine Translation Adequacy with Document Embeddings
Mihaela Vela
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Liling Tan
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Evaluation Dataset (DT-Grade) and Word Weighting Approach towards Constructed Short Answers Assessment in Tutorial Dialogue Context
Rajendra Banjade
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Nabin Maharjan
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Nobal Bikram Niraula
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Dipesh Gautam
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Borhan Samei
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Vasile Rus
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An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation
Jey Han Lau
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Timothy Baldwin
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Bilingual Embeddings and Word Alignments for Translation Quality Estimation
Amal Abdelsalam
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Ondřej Bojar
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Samhaa El-Beltagy
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Crowdsourcing Semantic Label Propagation in Relation Classification
Anca Dumitrache
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Lora Aroyo
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Chris Welty
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http://clic.cimec.unitn.it/composes/
https://code.google.com/p/word2vec/
https://github.com/
Field Of Study
Linguistic Trends
Embeddings
Task
Textual Entailment
Semantic Similarity
Information Retrieval
Language
Multilingual
English
Spanish
Dataset
News
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