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Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence
Md Arafat Sultan
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Steven Bethard
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Tamara Sumner
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Paper Details:
Year: 2014
Venue:
TACL |
Citations
URL
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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A Continuously Growing Dataset of Sentential Paraphrases
Wuwei Lan
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Siyu Qiu
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Hua He
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Wei Xu
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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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Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs
Fernando Alva-Manchego
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Joachim Bingel
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Gustavo Paetzold
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Carolina Scarton
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Lucia Specia
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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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MASSAlign: Alignment and Annotation of Comparable Documents
Gustavo Paetzold
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Fernando Alva-Manchego
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Lucia Specia
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Extending Monolingual Semantic Textual Similarity Task to Multiple Cross-lingual Settings
Yoshihiko Hayashi
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Wentao Luo
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A Framework for Cross-lingual/Node-wise Alignment of Lexical-Semantic Resources
Yoshihiko Hayashi
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Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering
Rebecca Sharp
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Peter Jansen
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Mihai Surdeanu
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Peter Clark
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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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Simplification Using Paraphrases and Context-Based Lexical Substitution
Reno Kriz
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Eleni Miltsakaki
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Marianna Apidianaki
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Chris Callison-Burch
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Semantic Structural Evaluation for Text Simplification
Elior Sulem
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Omri Abend
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Ari Rappoport
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I do not disagree: leveraging monolingual alignment to detect disagreement in dialogue
Ajda Gokcen
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Marie-Catherine de Marneffe
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Higher-order Lexical Semantic Models for Non-factoid Answer Reranking
Daniel Fried
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Peter Jansen
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Gustave Hahn-Powell
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Mihai Surdeanu
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Peter Clark
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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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SemEval-2014 Task 10: Multilingual Semantic Textual Similarity
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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Rada Mihalcea
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German Rigau
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Janyce Wiebe
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DLS@CU: Sentence Similarity from Word Alignment
Md Arafat Sultan
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Steven Bethard
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Tamara Sumner
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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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DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 2
Piyush Arora
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Chris Hokamp
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Jennifer Foster
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Gareth Jones
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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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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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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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USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box
Ahmet Aker
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Frederic Blain
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Andres Duque
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Marina Fomicheva
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Jurica Seva
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Kashif Shah
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Daniel Beck
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WOLVESAAR at SemEval-2016 Task 1: Replicating the Success of Monolingual Word Alignment and Neural Embeddings for Semantic Textual Similarity
Hannah Bechara
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Rohit Gupta
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Liling Tan
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Constantin Orăsan
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Ruslan Mitkov
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Josef van Genabith
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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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NUIG-UNLP at SemEval-2016 Task 1: Soft Alignment and Deep Learning for Semantic Textual Similarity
John Philip McCrae
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Kartik Asooja
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Nitish Aggarwal
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Paul Buitelaar
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SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity
Peter Potash
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William Boag
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Alexey Romanov
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Vasili Ramanishka
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Anna Rumshisky
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iUBC at SemEval-2016 Task 2: RNNs and LSTMs for interpretable STS
Iñigo Lopez-Gazpio
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Eneko Agirre
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Montse Maritxalar
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Adding Context to Semantic Data-Driven Paraphrasing
Vered Shwartz
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Ido Dagan
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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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ITNLP-AiKF at SemEval-2017 Task 1: Rich Features Based SVR for Semantic Textual Similarity Computing
Wenjie Liu
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Chengjie Sun
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Lei Lin
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Bingquan Liu
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UPF-Cobalt Submission to WMT15 Metrics Task
Marina Fomicheva
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Núria Bel
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Iria da Cunha
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Anton Malinovskiy
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CobaltF: A Fluent Metric for MT Evaluation
Marina Fomicheva
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Núria Bel
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Lucia Specia
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Iria da Cunha
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Anton Malinovskiy
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Unsupervised Event Clustering and Aggregation from Newswire and Web Articles
Swen Ribeiro
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Olivier Ferret
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Xavier Tannier
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http://paraphrase.org
http://www.cs.biu.ac.il/
http://www.ling.ohio-state.edu/scott/#edinburgh-plusplus
http://ixa2.si.ehu.es/sts/
https://code.google.com/p/jacana/
http://research.microsoft.com/en-us/downloads/607d14d9-
http://nlp.stanford.edu/downloads/corenlp.shtml
https://github.com/dasmith/stanford-corenlp-python
https://github.com/ma-sultan/
Field Of Study
Task
Textual Entailment
Semantic Similarity
Question Answering
Language
English
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