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UNAL-NLP: Combining Soft Cardinality Features for Semantic Textual Similarity, Relatedness and Entailment

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/ijhc.1987.0321openalex-snapshot

Simplifying decision trees

inferredcites →https://doi.org/10.1007/3-540-45715-1_11openalex-snapshot

An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet

inferredcites →https://doi.org/10.1007/978-3-642-16321-0_31openalex-snapshot

Text Comparison Using Soft Cardinality

inferredcites →https://doi.org/10.1016/s0020-7373(87)80053-6openalex-snapshot

Simplifying decision trees

inferredcites →https://doi.org/10.1023/a:1018054314350openalex-snapshot

Bagging Predictors

inferredcites →https://doi.org/10.1037/0033-295x.84.4.327openalex-snapshot

Features of similarity.

inferredcites →https://doi.org/10.1108/00220410410560573openalex-snapshot

A statistical interpretation of term specificity and its application in retrieval

inferredcites →https://doi.org/10.1108/00330330610681286openalex-snapshot

An algorithm for suffix stripping

inferredcites →https://doi.org/10.1108/eb026526openalex-snapshot

A STATISTICAL INTERPRETATION OF TERM SPECIFICITY AND ITS APPLICATION IN RETRIEVAL

inferredcites →https://doi.org/10.1108/eb046814openalex-snapshot

An algorithm for suffix stripping

inferredcites →https://doi.org/10.1109/icsc.2012.63openalex-snapshot

Distributional Compositional Semantics and Text Similarity

inferredcites →https://doi.org/10.1145/1656274.1656278openalex-snapshot

The WEKA data mining software

inferredcites →https://doi.org/10.3115/1631862.1631865openalex-snapshot

Measuring the semantic similarity of texts

inferredcites →https://doi.org/10.3115/v1/s14-2003openalex-snapshot

SemEval-2014 Task 3: Cross-Level Semantic Similarity

inferredcites →https://doi.org/10.3115/v1/s14-2010openalex-snapshot

SemEval-2014 Task 10: Multilingual Semantic Textual Similarity

inferredcites →https://doi.org/10.3115/v1/s14-2078openalex-snapshot

NTNU: Measuring Semantic Similarity with Sublexical Feature Representations and Soft Cardinality

inferredcites →https://doi.org/10.5169/seals-266450openalex-snapshot

Étude comparative de la distribution florale dans une portion des Alpes et du Jura

inferredcites →https://doi.org/10.63317/39qdhuevzbqaopenalex-snapshot

A SICK cure for the evaluation of compositional distributional semantic models

inferredcites →https://doi.org/10.63317/3wtkaidk6ea8openalex-snapshot

Generating Typed Dependency Parses from Phrase Structure Parses

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.5177247openalex-extracted

Semantic Textual Similarity: How Far We are and Where We Need to Go?

inferred← citeshttps://doi.org/10.1002/cpe.4415openalex-snapshot

A novel sentence similarity model with word embedding based on convolutional neural network

inferred← citeshttps://doi.org/10.1007/978-3-030-15028-0_6openalex-snapshot

Intention Based Networking Management

inferred← citeshttps://doi.org/10.1007/978-3-030-18305-9_12openalex-snapshot

Efficient Transformer-Based Sentence Encoding for Sentence Pair Modelling

inferred← citeshttps://doi.org/10.1007/978-3-030-20257-6_17openalex-snapshot

Learning Meaningful Sentence Embedding Based on Recursive Auto-encoders

inferred← citeshttps://doi.org/10.1007/978-3-031-30111-7_34openalex-snapshot

Deep Hierarchical Semantic Model for Text Matching

inferred← citeshttps://doi.org/10.1007/s10579-015-9332-5openalex-snapshot

SICK through the SemEval glasses. Lesson learned from the evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment

inferred← citeshttps://doi.org/10.1007/s11227-023-05592-7openalex-snapshot

SiMaLSTM-SNP: novel semantic relatedness learning model preserving both Siamese networks and membrane computing

inferred← citeshttps://doi.org/10.1016/j.csl.2016.01.003openalex-snapshot

Assessing sentence similarity through lexical, syntactic and semantic analysis

inferred← citeshttps://doi.org/10.1016/j.ins.2019.02.026openalex-snapshot

Multitask learning approach for understanding the relationship between two sentences

inferred← citeshttps://doi.org/10.1038/s41598-025-19436-2openalex-snapshot

Interactive learning system neural network algorithm optimization

inferred← citeshttps://doi.org/10.1075/nlp.13openalex-snapshot

Negation and Speculation Detection

inferred← citeshttps://doi.org/10.1075/nlp.13.abbopenalex-snapshot

List of Abbreviations

inferred← citeshttps://doi.org/10.1075/nlp.13.ackopenalex-snapshot

Acknowledgements

inferred← citeshttps://doi.org/10.1075/nlp.13.c1openalex-snapshot

Introduction

inferred← citeshttps://doi.org/10.1075/nlp.13.c2openalex-snapshot

Negation

inferred← citeshttps://doi.org/10.1075/nlp.13.c3openalex-snapshot

Speculation

inferred← citeshttps://doi.org/10.1075/nlp.13.c4openalex-snapshot

Applications

inferred← citeshttps://doi.org/10.1075/nlp.13.c5openalex-snapshot

Resources

inferred← citeshttps://doi.org/10.1075/nlp.13.c6openalex-snapshot

Future trends and discussion

inferred← citeshttps://doi.org/10.1075/nlp.13.glossaryopenalex-snapshot

Glossary

inferred← citeshttps://doi.org/10.1075/nlp.13.indexopenalex-snapshot

Index

inferred← citeshttps://doi.org/10.1075/nlp.13.prelimopenalex-snapshot

Prelim pages

inferred← citeshttps://doi.org/10.1075/nlp.13.r5openalex-snapshot

References

inferred← citeshttps://doi.org/10.1075/nlp.13.tocopenalex-snapshot

Table of contents

inferred← citeshttps://doi.org/10.1109/access.2019.2891692openalex-snapshot

Challenging the Boundaries of Unsupervised Learning for Semantic Similarity

inferred← citeshttps://doi.org/10.1109/access.2020.2984009openalex-snapshot

A Semi-Supervised Paraphrase Identification Model Based on Multi-Granularity Interaction Reasoning

inferred← citeshttps://doi.org/10.1109/aisp.2017.8324078openalex-snapshot

Eigenvalue based features for semantic sentence similarity

inferred← citeshttps://doi.org/10.1109/ijcnn.2018.8489222openalex-snapshot

Paraphrase Recognition via Combination of Neural Classifier and Keywords

inferred← citeshttps://doi.org/10.1109/ijcnn.2018.8489433openalex-snapshot

Measuring Semantic Similarity Between Sentences Using A Siamese Neural Network

inferred← citeshttps://doi.org/10.1109/mci.2019.2901085openalex-snapshot

word2set: WordNet-Based Word Representation Rivaling Neural Word Embedding for Lexical Similarity and Sentiment Analysis

inferred← citeshttps://doi.org/10.1145/3297156.3297252openalex-snapshot

Text Implication Recognition Learning with Gated Recurrent Unit

inferred← citeshttps://doi.org/10.1162/tacl_a_00097openalex-snapshot

ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs

inferred← citeshttps://doi.org/10.1371/journal.pone.0129392openalex-snapshot

A Supervised Approach to Quantifying Sentence Similarity: With Application to Evidence Based Medicine

inferred← citeshttps://doi.org/10.14264/uql.2017.167openalex-snapshot

A framework for developing knowledge bases of scientific artefacts in the biomedical domain

inferred← citeshttps://doi.org/10.1587/transinf.2018edp7410openalex-snapshot

Sentence-Embedding and Similarity via Hybrid Bidirectional-LSTM and CNN Utilizing Weighted-Pooling Attention

inferred← citeshttps://doi.org/10.1609/aaai.v30i1.10350openalex-snapshot

Siamese Recurrent Architectures for Learning Sentence Similarity

inferred← citeshttps://doi.org/10.1609/aaai.v30i1.10356openalex-snapshot

Non-Linear Similarity Learning for Compositionality

inferred← citeshttps://doi.org/10.1609/aaai.v34i05.6230openalex-snapshot

Modelling Sentence Pairs via Reinforcement Learning: An Actor-Critic Approach to Learn the Irrelevant Words

inferred← citeshttps://doi.org/10.17562/pb-51-9openalex-snapshot

Soft Cardinality in Semantic Text Processing: Experience of the SemEval International Competitions

inferred← citeshttps://doi.org/10.18653/v1/2022.acl-long.161openalex-snapshot

Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings

inferred← citeshttps://doi.org/10.18653/v1/d15-1181openalex-snapshot

Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks

inferred← citeshttps://doi.org/10.18653/v1/d15-1296openalex-snapshot

A Tableau Prover for Natural Logic and Language

inferred← citeshttps://doi.org/10.18653/v1/d16-1062openalex-snapshot

Building an Evaluation Scale using Item Response Theory

inferred← citeshttps://doi.org/10.18653/v1/d17-1122openalex-snapshot

Inter-Weighted Alignment Network for Sentence Pair Modeling

inferred← citeshttps://doi.org/10.18653/v1/e17-1066openalex-snapshot

Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching

inferred← citeshttps://doi.org/10.18653/v1/e17-1067openalex-snapshot

On-demand Injection of Lexical Knowledge for Recognising Textual Entailment

inferred← citeshttps://doi.org/10.18653/v1/n16-1108openalex-snapshot

Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement

inferred← citeshttps://doi.org/10.18653/v1/n18-2102openalex-snapshot

Multi-Reward Reinforced Summarization with Saliency and Entailment

inferred← citeshttps://doi.org/10.18653/v1/p17-2081openalex-snapshot

Question Answering through Transfer Learning from Large Fine-grained Supervision Data

inferred← citeshttps://doi.org/10.18653/v1/p18-1064openalex-snapshot

Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation

inferred← citeshttps://doi.org/10.18653/v1/p18-1197openalex-snapshot

To Attend or not to Attend: A Case Study on Syntactic Structures for Semantic Relatedness

inferred← citeshttps://doi.org/10.18653/v1/s15-2028openalex-snapshot

FCICU: The Integration between Sense-Based Kernel and Surface-Based Methods to Measure Semantic Textual Similarity

inferred← citeshttps://doi.org/10.18653/v1/s16-1088openalex-snapshot

UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation

inferred← citeshttps://doi.org/10.18653/v1/s16-1116openalex-snapshot

SERGIOJIMENEZ at SemEval-2016 Task 1: Effectively Combining Paraphrase Database, String Matching, WordNet, and Word Embedding for Semantic Textual Similarity

inferred← citeshttps://doi.org/10.26615/978-954-452-056-4_116openalex-snapshot

Semantic Textual Similarity with Siamese Neural Networks

inferred← citeshttps://doi.org/10.29007/psgxopenalex-snapshot

Legal Information Retrieval Using Topic Clustering and Neural Networks

inferred← citeshttps://doi.org/10.3115/v1/p15-1150openalex-snapshot

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

inferred← citeshttps://doi.org/10.3115/v1/s14-2001openalex-snapshot

SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment

inferred← citeshttps://doi.org/10.3115/v1/s14-2010openalex-snapshot

SemEval-2014 Task 10: Multilingual Semantic Textual Similarity

inferred← citeshttps://doi.org/10.48550/arxiv.1506.06726openalex-snapshot

Skip-Thought Vectors

inferred← citeshttps://doi.org/10.48550/arxiv.1603.09405openalex-snapshot

Enhancing Sentence Relation Modeling with Auxiliary Character-level Embedding

inferred← citeshttps://doi.org/10.7275/reha-je40openalex-snapshot

Learning Latent Characteristics of Data and Models using Item Response Theory

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