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SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability
Eneko Agirre
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Carmen Banea
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Claire Cardie
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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
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Iñigo Lopez-Gazpio
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Montse Maritxalar
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Rada Mihalcea
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German Rigau
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Larraitz Uria
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Janyce Wiebe
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Paper Details:
Month: June
Year: 2015
Location: Denver, Colorado
Venue:
*SEMEVAL |
Citations
URL
Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity
Nils Reimers
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Philip Beyer
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Iryna Gurevych
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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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Convolutional Neural Network for Universal Sentence Embeddings
Xiaoqi Jiao
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Fang Wang
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Dan Feng
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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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Charagram: Embedding Words and Sentences via Character n-grams
John Wieting
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Mohit Bansal
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Kevin Gimpel
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Karen Livescu
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Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext
John Wieting
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Jonathan Mallinson
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Kevin Gimpel
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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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JU NITM at IJCNLP-2017 Task 5: A Classification Approach for Answer Selection in Multi-choice Question Answering System
Sandip Sarkar
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Dipankar Das
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Partha Pakray
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RELPRON: A Relative Clause Evaluation Data Set for Compositional Distributional Semantics
Laura Rimell
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Jean Maillard
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Tamara Polajnar
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Stephen Clark
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Lessons Learned in Multilingual Grounded Language Learning
Ákos Kádár
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Desmond Elliott
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Marc-Alexandre Côté
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Grzegorz Chrupała
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Afra Alishahi
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Building Concept Graphs from Monolingual Dictionary Entries
Gábor Recski
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Fine-grained Semantic Textual Similarity for Serbian
Vuk Batanović
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Miloš Cvetanović
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Boško Nikolić
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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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Character-Based Neural Networks for Sentence Pair Modeling
Wuwei Lan
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Wei Xu
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Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings
John Wieting
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Kevin Gimpel
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ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations
John Wieting
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Kevin Gimpel
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A Joint Model for Answer Sentence Ranking and Answer Extraction
Md Arafat Sultan
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Vittorio Castelli
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Radu Florian
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Learning the Impact of Machine Translation Evaluation Metrics for Semantic Textual Similarity
Simone Magnolini
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Ngoc Phuoc An Vo
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Octavian Popescu
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TrWP: Text Relatedness using Word and Phrase Relatedness
Md Rashadul Hasan Rakib
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Aminul Islam
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Evangelos Milios
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FBK-HLT: A New Framework for Semantic Textual Similarity
Ngoc Phuoc An Vo
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Simone Magnolini
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Octavian Popescu
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UMDuluth-BlueTeam: SVCSTS - A Multilingual and Chunk Level Semantic Similarity System
Sakethram Karumuri
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Viswanadh Kumar Reddy Vuggumudi
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Sai Charan Raj Chitirala
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SemantiKLUE: Semantic Textual Similarity with Maximum Weight Matching
Nataliia Plotnikova
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Gabriella Lapesa
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Thomas Proisl
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Stefan Evert
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ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation
Jiang Zhao
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Man Lan
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Jun Feng Tian
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WSL: Sentence Similarity Using Semantic Distance Between Words
Naoko Miura
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Tomohiro Takagi
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SOPA: Random Forests Regression for the Semantic Textual Similarity task
Davide Buscaldi
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Jorge García Flores
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Ivan V. Meza
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Isaac Rodríguez
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MathLingBudapest: Concept Networks for Semantic Similarity
Gábor Recski
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Judit Ács
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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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FCICU: The Integration between Sense-Based Kernel and Surface-Based Methods to Measure Semantic Textual Similarity
Basma Hassan
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Samir AbdelRahman
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Reem Bahgat
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AZMAT: Sentence Similarity Using Associative Matrices
Evan Jaffe
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Lifeng Jin
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David King
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Marten van Schijndel
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NeRoSim: A System for Measuring and Interpreting Semantic Textual Similarity
Rajendra Banjade
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Nobal Bikram Niraula
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Nabin Maharjan
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Vasile Rus
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Dan Stefanescu
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Mihai Lintean
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Dipesh Gautam
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UBC: Cubes for English Semantic Textual Similarity and Supervised Approaches for Interpretable STS
Eneko Agirre
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Aitor Gonzalez-Agirre
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Iñigo Lopez-Gazpio
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Montse Maritxalar
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German Rigau
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Larraitz Uria
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ASAP-II: From the Alignment of Phrases to Textual Similarity
Ana Alves
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David Simões
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Hugo Gonçalo Oliveira
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Adriana Ferrugento
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ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity
Christian Hänig
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Robert Remus
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Xose De La Puente
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HHU at SemEval-2016 Task 1: Multiple Approaches to Measuring Semantic Textual Similarity
Matthias Liebeck
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Philipp Pollack
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Pashutan Modaresi
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Stefan Conrad
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NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features
Piotr Przybyła
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Nhung T. H. Nguyen
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Matthew Shardlow
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Georgios Kontonatsios
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Sophia Ananiadou
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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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MayoNLP at SemEval-2016 Task 1: Semantic Textual Similarity based on Lexical Semantic Net and Deep Learning Semantic Model
Naveed Afzal
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Yanshan Wang
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Hongfang Liu
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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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ASOBEK at SemEval-2016 Task 1: Sentence Representation with Character N-gram Embeddings for Semantic Textual Similarity
Asli Eyecioglu
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Bill Keller
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VENSESEVAL at Semeval-2016 Task 2 iSTS - with a full-fledged rule-based approach
Rodolfo Delmonte
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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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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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ExB Text Summarizer
Stefan Thomas
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Christian Beutenmüller
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Xose de la Puente
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Robert Remus
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Stefan Bordag
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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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If Sentences Could See: Investigating Visual Information for Semantic Textual Similarity
Goran Glavaš
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Ivan Vulić
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Simone Paolo Ponzetto
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A Short Answer Grading System in Chinese by Support Vector Approach
Shih-Hung Wu
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Wen-Feng Shih
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Identification of Parallel Sentences in Comparable Monolingual Corpora from Different Registers
Rémi Cardon
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Natalia Grabar
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Field Of Study
Linguistic Trends
Embeddings
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Task
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Textual Entailment
Semantic Similarity
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