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DLS$@$CU: Sentence Similarity from Word Alignment and Semantic Vector Composition

Md Arafat Sultan, Steven Bethard, Tamara Sumner
2015 Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)  
We also submitted two runs of a supervised system which uses word alignments and similarities between compositional sentence vectors as its features.  ...  Given two English sentences, each system outputs the degree of their semantic similarity.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.  ... 
doi:10.18653/v1/s15-2027 dblp:conf/semeval/SultanBS15 fatcat:jvf2lifs3reyrk5j2zwfuwicgm

DLS$@$CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity

Md Arafat Sultan, Steven Bethard, Tamara Sumner
2016 Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)  
We describe a set of systems submitted to the SemEval-2016 English Semantic Textual Similarity (STS) task. Given two English sentences, the task is to compute the degree of their semantic similarity.  ...  Each of our systems uses the SemEval 2012-2015 STS datasets to train a ridge regression model that combines different measures of similarity.  ...  Instead of comparing word vectors across the two input sentences, we adopt a simple vector composition scheme to construct a vector representation of each input sentence and then take the cosine similarity  ... 
doi:10.18653/v1/s16-1099 dblp:conf/semeval/SultanBS16 fatcat:sr4pqsv74bg37m3a6r5xarmvnq

FBK-HLT: A New Framework for Semantic Textual Similarity

Ngoc Phuoc An Vo, Simone Magnolini, Octavian Popescu
2015 Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)  
This paper reports the description and performance of our system, FBK-HLT, participating in the SemEval 2015, Task #2 "Semantic Textual Similarity", English subtask.  ...  We submitted three runs with different hypothesis in combining typical features (lexical similarity, string similarity, word n-grams, etc) with syntactic structure features, resulting in different sets  ...  structure information, word alignment and semantic word similarity.  ... 
doi:10.18653/v1/s15-2018 dblp:conf/semeval/VoMP15a fatcat:ofokbaihvrhmbno3bztj6hbwky

Improving Semantic Textual Similarity with Phrase Entity Alignment

Vangapelli Sowmya, Bulusu Vardhan, Mantena Raju
2017 International Journal of Intelligent Engineering and Systems  
A phrase entity is a conceptual unit in a sentence with a subject or an object and its describing words. PEA aligns phrase entities present in the sentences based on their similarity scores.  ...  The textual segments are word phrases, sentences, paragraphs or documents. The similarity can be measured using lexical, syntactic and semantic information embedded in the sentences.  ...  The outperformed system is DLS@CU [21] with mean correlation 0.761, has aligned the related words in two sentences for measuring the semantic equivalent between two sentences.  ... 
doi:10.22266/ijies2017.0831.21 fatcat:zpsbypu2svfixduf6eogtnbqyq

TKLBLIIR: Detecting Twitter Paraphrases with TweetingJay

Mladen Karan, Goran Glavaš, Jan Šnajder, Bojana Dalbelo Bašić, Ivan Vulić, Marie-Francine Moens
2015 Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)  
TweetingJay uses a supervised model that combines semantic overlap and word alignment features, previously shown to be effective for detecting semantic textual similarity.  ...  We describe TweetingJay, a system for detecting paraphrases and semantic similarity of tweets, with which we participated in Task 1 of SemEval 2015.  ...  Word Alignment Features We adopt the word alignment features from two alignment-based systems: (1) the DLS@CU system of Sultan et al.  ... 
doi:10.18653/v1/s15-2012 dblp:conf/semeval/KaranGSBVM15 fatcat:jgmhtqci65h6tlyg2wws6flchm

TATO: Leveraging on Multiple Strategies for Semantic Textual Similarity

Tu Thanh Vu, Quan Hung Tran, Son Bao Pham
2015 Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)  
Based on some machine learning techniques, it combines multiple similarity measures of varying complexity ranging from simple lexical and syntactic similarity measures to complex semantic similarity ones  ...  to compute semantic textual similarity.  ...  Lexical Similarity Measures Word/Phrase Alignment Measures When two sentences are related semantically, they tend to be similar in appearance.  ... 
doi:10.18653/v1/s15-2034 dblp:conf/semeval/VuTP15 fatcat:cqi77ld7ufhvblfqjqseiok4we

Word Rotator's Distance [article]

Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui
2020 arXiv   pre-print
Besides, we find how to grow the norm and direction of word vectors (vector converter), which is a new systematic approach derived from sentence-vector estimation methods.  ...  A key principle in assessing textual similarity is measuring the degree of semantic overlap between two texts by considering the word alignment.  ...  Acknowledgments We appreciate the helpful comments from the anonymous reviewers. We thank Emad Kebriaei for indicating how to normalize the sentence vectors.  ... 
arXiv:2004.15003v3 fatcat:erwlrkdzhff2hacueezu2q3waq

UESTS: An Unsupervised Ensemble Semantic Textual Similarity Method

Basma Hassan, Samir E. AbdelRahman, Reem Bahgat, Ibrahim Farag
2019 IEEE Access  
INDEX TERMS Semantic textual similarity, word alignment, string kernel, BabelNet, SemEval, text processing, unsupervised learning, natural language processing.  ...  Word alignment has been widely used in the state-ofthe-art approaches. From this point, this paper has three contributions.  ...  And thanks to Sultan and the authors of the monolingual word aligner for their open-source software on GitHub (https://github.com/ma-sultan/monolingual-word-aligner).  ... 
doi:10.1109/access.2019.2925006 fatcat:giirmrffajfl5ixasl7ks46bca

SemEval-2015 Task 3: Answer Selection in Community Question Answering

Preslav Nakov, Lluís Màrquez, Walid Magdy, Alessandro Moschitti, Jim Glass, Bilal Randeree
2015 Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)  
Classification in Twitter Abeed Sarker, Azadeh Nikfarjam, Davy Weissenbacher and Graciela Gonzalez . . . . . . . . . . . . . 510 DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector Composition  ...  DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 2 ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent  ... 
doi:10.18653/v1/s15-2047 dblp:conf/semeval/NakovMMMGR15 fatcat:jfq4kzhwirgtthhv5klid5bmw4

SimDoc: Topic Sequence Alignment based Document Similarity Framework [article]

Gaurav Maheshwari, Priyansh Trivedi, Harshita Sahijwani, Kunal Jha, Sourish Dasgupta, Jens Lehmann
2017 arXiv   pre-print
Then, we use a sequence alignment algorithm to estimate their semantic similarity. We further conceptualize a novel mechanism to compute topic-topic similarity to fine tune our system.  ...  In our experiments, we show that SimDoc outperforms many contemporary bag-of-words techniques in accurately computing document similarity, and on practical applications such as document clustering.  ...  Acknowledgements: This work was developed in joint collaboration with Rygbee Inc, U.S.A, and partly supported by a grant from the European Union's Horizon 2020 research and innovation programme for the  ... 
arXiv:1611.04822v2 fatcat:se2wyk7pnncmhmha4oy5svndu4

FlexSTS: Um Framework para Similaridade Semântica Textual

Jânio Freire, Vládia Pinheiro, David Feitosa
2016 Linguamática  
Desde 2012, os eventos de Semantic Evaluation (SemEval) propõem a tarefa de Similaridade Semântica Textual (STS) como um tema de competição, demonstrando sua relevância.  ...  Dls@cu: Sentence similarity from word alignment and semantic vector composition. Em Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), 148-153.  ...  ECNU: one stone two birds: Ensemble of heterogenous measures for semantic relatedness and textual entailment.  ... 
doaj:80db123d412b4eca8c99fabdc6228663 fatcat:mz5gq7unmrf3hikt2fjxw7ccka