Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model

This paper describes a neural-network model which performed competitively (top 6) at the SemEval 2017 cross-lingual Semantic Textual Similarity (STS) task. Our system employs an attention-based recurrent neural network model that optimizes the sentence similarity. In this paper, we describe our participation in the multilingual STS task which measures similarity across English, Spanish, and Arabic.

• Publication year

  2017

• Venue

  International Workshop on Semantic Evaluation

• Publication date

  2017-03-01

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.18653/v1/S17-2023arXiv 1703.05465
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity.

  2016cited by this paper
• UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement

  2016cited by this paper
• UWB at SemEval-2016 Task 1: Semantic Textual Similarity using Lexical, Syntactic, and Semantic Information

  2016cited by this paper
• HHU at SemEval-2016 Task 1: Multiple Approaches to Measuring Semantic Textual Similarity

  2016cited by this paper
• UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation

  2016cited by this paper
• DLS@CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity

  2016cited by this paper
• USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box

  2016cited by this paper
• SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation

  2016cited by this paper
• UNBNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation

  2016cited by this paper
• SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability

  2015cited by this paper
• FBK-HLT: An Application of Semantic Textual Similarity for Answer Selection in Community Question Answering

  2015cited by this paper
• Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

  2015cited by this paper
• Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

  2014influential reference
• A SICK cure for the evaluation of compositional distributional semantic models

  2014cited by this paper
• Neural Machine Translation by Jointly Learning to Align and Translate

  2014cited by this paper
• SemEval-2014 Task 10: Multilingual Semantic Textual Similarity

  2014cited by this paper
• A Survey of Text Similarity Approaches

  2013cited by this paper
• *SEM 2013 shared task: Semantic Textual Similarity

  2013cited by this paper
• Distributed Representations of Words and Phrases and their Compositionality

  2013cited by this paper
• TakeLab: Systems for Measuring Semantic Text Similarity

  2012influential reference
• SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity

  2012cited by this paper
• *SEM 2012: The First Joint Conference on Lexical and Computational Semantics

  2012cited by this paper
• From Frequency to Meaning: Vector Space Models of Semantics

  2010cited by this paper
• A Semantic Similarity Approach to Paraphrase Detection

  2008cited by this paper
• Extractive Summarization Using Supervised and Semi-Supervised Learning

  2008cited by this paper
• Measuring the Semantic Similarity of Texts

  2005cited by this paper
• Automatic Summarization

  2002cited by this paper
• An Information-Theoretic Definition of Similarity

  1998cited by this paper
• Combining local context and wordnet similarity for word sense identification

  1998cited by this paper
• Combining Local Context and Wordnet Similarity for Word Sense Identification

  1998cited by this paper
• WordNet: A Lexical Database for English

  1995cited by this paper
• Learning

  1965cited by this paper

• Design of judicial public opinion supervision and intelligent decision-making model based on Bi-LSTM

  2024cites this paper
• Cross‐Linguistic Similarity Evaluation Techniques Based on Deep Learning

  2022cites this paper
• Semantic generation mechanism of news images based on Concept-Net

  2021cites this paper
• Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning

  2021cites this paper
• Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling

  2021cites this paper
• Neural Data-to-Text Generation with LM-based Text Augmentation

  2021cites this paper
• Hybridization between Neural Computing and Nature-Inspired Algorithms for a Sentence Similarity Model Based on the Attention Mechanism

  2021cites this paper
• Leveraging Grammatical Roles for Measuring Semantic Similarity Between Texts

  2021cites this paper
• Syntactic and Semantic Knowledge-Aware Paraphrase Detection for Clinical Data

  2021cites this paper
• Semantic Similarity Based on Word Recurrence Ratio Focusing on WordNet

  2020cites this paper
• Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training

  2020cites this paper
• Disease Prediction and Early Intervention System Based on Symptom Similarity Analysis

  2019cites this paper
• Exposé Training recursive compositional models with hierarchical linguistic information for semantic tasks in NLP by Arne Binder Motivation

  2018cites this paper
• Integrating Global Attention for Pairwise Text Comparison

  2018cites this paper
• SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation

  2017cites this paper
• Enhanced TreeBERT: High-Performance, Computationally Efficient Multi-Task Model

  year unknowncites this paper