Sentence Embedding Models for Similarity Detection of Software Requirements

[1]  Kevin Gimpel,et al.  ALBERT: A Lite BERT for Self-supervised Learning of Language Representations , 2019, ICLR.

[2]  Kilian Q. Weinberger,et al.  BERTScore: Evaluating Text Generation with BERT , 2019, ICLR.

[3]  Joachim Denzler,et al.  Deep Learning on Small Datasets without Pre-Training using Cosine Loss , 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

[4]  Arpit Sharma,et al.  On the Use of Word Embeddings for Identifying Domain Specific Ambiguities in Requirements , 2019, 2019 IEEE 27th International Requirements Engineering Conference Workshops (REW).

[5]  Iryna Gurevych,et al.  Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks , 2019, EMNLP.

[6]  Omer Levy,et al.  RoBERTa: A Robustly Optimized BERT Pretraining Approach , 2019, ArXiv.

[7]  Yiming Yang,et al.  XLNet: Generalized Autoregressive Pretraining for Language Understanding , 2019, NeurIPS.

[8]  Lori L. Pollock,et al.  Exploring Word Embedding Techniques to Improve Sentiment Analysis of Software Engineering Texts , 2019, 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR).

[9]  Chandler May,et al.  On Measuring Social Biases in Sentence Encoders , 2019, NAACL.

[10]  Kenli Li,et al.  An Efficient Framework for Sentence Similarity Modeling , 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[11]  Ming-Wei Chang,et al.  BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.

[12]  Nan Hua,et al.  Universal Sentence Encoder for English , 2018, EMNLP.

[13]  Abdelhak-Djamel Seriai,et al.  Semantic Clustering of Functional Requirements Using Agglomerative Hierarchical Clustering , 2018, Inf..

[14]  Xavier Franch,et al.  Natural Language Processing for Requirements Engineering: The Best Is Yet to Come , 2018, IEEE Software.

[15]  Diomidis Spinellis,et al.  Word Embeddings for the Software Engineering Domain , 2018, 2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR).

[16]  Sebastian Ruder,et al.  Universal Language Model Fine-tuning for Text Classification , 2018, ACL.

[17]  Stefania Gnesi,et al.  PURE: A Dataset of Public Requirements Documents , 2017, 2017 IEEE 25th International Requirements Engineering Conference (RE).

[18]  Eneko Agirre,et al.  SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation , 2017, *SEMEVAL.

[19]  Kurt Schneider,et al.  What Works Better? A Study of Classifying Requirements , 2017, 2017 IEEE 25th International Requirements Engineering Conference (RE).

[20]  Lukasz Kaiser,et al.  Attention is All you Need , 2017, NIPS.

[21]  Holger Schwenk,et al.  Supervised Learning of Universal Sentence Representations from Natural Language Inference Data , 2017, EMNLP.

[22]  Sanjeev Arora,et al.  A Simple but Tough-to-Beat Baseline for Sentence Embeddings , 2017, ICLR.

[23]  Tomas Mikolov,et al.  Bag of Tricks for Efficient Text Classification , 2016, EACL.

[24]  Andreas Vogelsang,et al.  Automatic Classification of Requirements Based on Convolutional Neural Networks , 2016, 2016 IEEE 24th International Requirements Engineering Conference Workshops (REW).

[25]  Muhammad Ilyas,et al.  An Automated System for Measuring Similarity between Software Requirements , 2016, AMECSE '16.

[26]  Christopher Potts,et al.  A large annotated corpus for learning natural language inference , 2015, EMNLP.

[27]  Sanja Fidler,et al.  Skip-Thought Vectors , 2015, NIPS.

[28]  Sanja Fidler,et al.  Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[29]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[30]  Jeffrey Pennington,et al.  GloVe: Global Vectors for Word Representation , 2014, EMNLP.

[31]  Jane Cleland-Huang,et al.  Automated extraction and visualization of quality concerns from requirements specifications , 2014, 2014 IEEE 22nd International Requirements Engineering Conference (RE).

[32]  Jeffrey Dean,et al.  Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.

[33]  Daniel Ott,et al.  Automatic Requirement Categorization of Large Natural Language Specifications at Mercedes-Benz for Review Improvements , 2013, REFSQ.

[34]  Muhammad Ilyas,et al.  A Similarity Measurement Framework for Requirements Engineering , 2009, 2009 Fourth International Multi-Conference on Computing in the Global Information Technology.

[35]  Alexandra Cernian,et al.  2009 Fourth International Multi-Conference on Computing in the Global Information Technology , 2009 .

[36]  Tim Menzies,et al.  The \{PROMISE\} Repository of Software Engineering Databases. , 2005 .