Paraphrase Identification – Meta-Guide.com

Notes:

Paraphrase identification is the process of identifying and recognizing text fragments or phrases that have a similar meaning or convey the same information within a specific context. It is often used in natural language processing and text analysis to identify and recognize variations of the same concept or idea within a document or body of text. Paraphrase identification can help to improve the accuracy and effectiveness of text-based systems and applications, such as language translation or text summarization, by recognizing and handling variations in language and word choice.

Resources:

github.com/jpalala/tweetingjay

Wikipedia:

Re-examining machine translation metrics for paraphrase identification N Madnani, J Tetreault, M Chodorow – … of the 2012 Conference of the …, 2012 – dl.acm.org … with Turker simulated plagiarism—contains much more realistic examples of paraphrase and should be incorporated into future evaluations of paraphrase identification. … to use an ordinal scale for the human judgments as in the Semantic Textual Similarity task of SemEval 2012. … Cited by 50 Related articles All 9 versions

SemEval-2015 Task 1: Paraphrase and semantic similarity in Twitter (PIT) W Xu, C Callison-Burch, WB Dolan – … Semantic Evaluation (SemEval), 2015 – cis.upenn.edu Page 1. SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT) … Abstract In this shared task, we present evaluations on two related tasks Paraphrase Identification (PI) and Semantic Textual Similarity (SS) sys- tems for the Twitter data. … Cited by 13 Related articles All 4 versions

Limsiiles: Basic english substitution for student answer assessment at semeval 2013 M Gleize, B Grau – Second Joint Conference on Lexical and …, 2013 – aclweb.org … It is a way to make test grading easier and improve adaptive tutoring (Dzikovska et al., 2010), and is the goal of the SemEval 2013’s task 7, titled Joint Stu- dent … Paraphrase identification searches whether two sentences have essentially the same meaning (Culi- cover, 1968). … Cited by 4 Related articles All 11 versions

On paraphrase identification corpora V Rus, R Banjade, M Lintean – Proceeding on the International …, 2014 – lrec-conf.org … Support Vector Machines for Paraphrase Identification and Corpus Construction, in Third International Workshop on Paraphrasing (IWP2005), Asia Federation of … Brew, C., Leacock, C., Giampiccolo, D., Bentivogli, L., Clark, P., Dagan, I. and Dang, HT (2013) “SemEval-2013 Task … Cited by 4 Related articles

EDU-based similarity for paraphrase identification NX Bach, N Le Minh, A Shimazu – Natural Language Processing and …, 2013 – Springer … References 1. Agirre, E., Cer, D., Diab, M., Gonzalez-Agirre, A.: SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity. In: Proceedings of SemEval, pp. … 13–18 (2005) 11. Das, D., Smith, NA: Paraphrase Identification as Probabilistic Quasi-Synchronous Recognition. … Cited by 2 Related articles All 3 versions

ASOBEK: Twitter paraphrase identification with simple overlap features and SVMs A Eyecioglu, B Keller – Proceedings of SemEval, 2015 – alt.qcri.org Abstract We present an approach to identifying Twitter paraphrases using simple lexical overlap features. The work is part of ongoing research into the applicability of knowledgelean techniques to paraphrase identification. We utilize features based on … Cited by 2 Related articles

SEMILAR: The Semantic Similarity Toolkit V Rus, MC Lintean, R Banjade, NB Niraula… – ACL (Conference …, 2013 – Citeseer … For paraphrase identification, the QAP method provides best accuracy results (= 77.6%) on the test subset of the Microsoft Re- search Paraphrase … SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity, First Joint Conference on Lexi- cal and Computational Semantics … Cited by 27 Related articles All 12 versions

Paraphrase identification and semantic similarity in twitter with simple features NP Vo, S Magnolini, O Popescu… – The 3rd International …, 2015 – aclweb.org … 9 For Paraphrase Identification task, our system outperforms all three baselines and achieves a very competitive result to the best systems. … qcri. org/semeval2015/task1/ data/uploads/semeval- pit-2015-results. pdf three results. … Cited by 1

Leveraging crowdsourcing for paraphrase recognition M Tschirsich, G Hintz – LAW VII & ID, 2013 – anthology.aclweb.org … tational Semantics–Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012), pages 385 … Re-examining machine translation metrics for paraphrase identification. … Cited by 3 Related articles All 8 versions

HLTC-HKUST: A neural network paraphrase classifier using translation metrics, semantic roles and lexical similarity features D Bertero, P Fung – Proceedings of SemEval, 2015 – alt.qcri.org … 1 Introduction Paraphrase identification is the problem to determine whether two sentences have the same meaning, and is the objective of the task 1 of SemEval 2015 workshop (Xu et al., 2015). Conventionally this task has … Cited by 1 Related articles

MITRE: Seven systems for semantic similarity in tweets G Zarrella, J Henderson, EM Merkhofer… – … of SemEval, 2015 – alt.qcri.org … This paper describes MITRE’s participation in the Paraphrase and Semantic Similar- ity in Twitter task (SemEval-2015 Task 1). This effort placed first in Semantic Similar- ity and second in Paraphrase Identification with scores of Pearson’s r of 61.9%, F1 of 66.7%, and maxF1 of … Cited by 2 Related articles

MathLingBudapest: Concept Networks for Semantic Similarity G Recski, J Acs – … on Semantic Evaluation (SemEval 2015), Denver, CO, …, 2015 – alt.qcri.org … 4 Submissions We shall now describe the particular configurations used for each submission in Semeval. … embedding hybrid Task 1a: Paraphrase Identification Precision 0.454 0.364 Recall 0.594 0.880 F-score 0.515 0.515 Task 1b: Semantic Similarity Pearson 0.229 0.511 … Cited by 2 Related articles

FBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter NPA Vo, S Magnolini, O Popescu, US Yorktown – alt.qcri.org … Paraphrase identification/recognition is an important task that can be used as a feature to improve many other NLP tasks as Information … The interesting combination of these two tasks was brought forward as Shared Task #1 in the SemEval 2015 campaign for “Paraphrase and … Related articles

AMRITA CEN @SemEval-2015: Paraphrase Detection for Twitter using Unsupervised Feature Learning with Recursive Autoencoders MS Sundaram, AK Madasamy, SK Padannayil – alt.qcri.org … The official evaluation metrics for SemEval-2015 Task 1 are F1-score for paraphrase identification and Pearson correlation for the semantic similarity scores. The performance of our system on the shared task evaluation data using these metrics is presented in Table 4. … Related articles

Idiom Paraphrases: Seventh Heaven vs Cloud Nine M Pershina, Y He, R Grishman – Workshop on Linking Models of Lexical, …, 2015 – aclweb.org … developing a comprehensive idiom similarity measure that will utilize both id- ioms and their definitions, and on comparing text with an idiom and a general text as a realistic sce- nario for paraphrase identification. … Semeval-2012 task 6: A pilot on semantic textual similarity. …

Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks H He, K Gimpel, J Lin – anthology.aclweb.org … We then compare our sentence representa- tions at several granularities using multi- ple similarity metrics. We apply our model to three tasks, including the Microsoft Re- search paraphrase identification task and two SemEval semantic textual similarity tasks. …

Generalizing sub-sentential paraphrase acquisition across original signal type of text pairs A Max, H Bouamor, A Vilnat – Proceedings of the 2012 Joint Conference …, 2012 – dl.acm.org … union of biphrases with features Original signal type of text pairs Figure 3: Architecture of our combination system for paraphrase identification. denoted Rsure, that are found by a system. … 3.2 A framework for sub-sentential paraphrase identification … Cited by 7 Related articles All 7 versions

ANFIS-Based Model for Improved Paraphrase Rating Prediction ESM El-Alfy – Neural Information Processing, 2014 – Springer … 1. STS MSR corpus, http://www.cs.york.ac.uk/semeval/task6/ 2. Androutsopoulos, I., Malakasiotis, P.: A survey of paraphrasing and textual entail- ment methods. … Madnani, N., Tetreault, J., Chodorow, M.: Re-examining machine translation met- rics for paraphrase identification. … Related articles

ROB: Using semantic meaning to recognize paraphrases R van der Goot, G van Noord – Proceedings of SemEval, 2015 – alt.qcri.org … 2012. Re-examining machine translation metrics for paraphrase identification. … 2014. Semeval-2014 task 1: Evaluation of com- positional distributional semantic models on full sen- tences through semantic relatedness and textual entail- ment. SemEval-2014. … Cited by 1 Related articles

Statistical Analysis of ML-Based Paraphrase Detectors with Lexical Similarity Metrics ESM El-Alfy – Information Science and Applications (ICISA), …, 2014 – ieeexplore.ieee.org … [14] N. Madnani, J. Tetreault, and M. Chodorow, “Re-examining machine translation metrics for paraphrase identification,” in Proceedings of the 2012 Conference of the North … 2, no. 2, pp. 121–167, 1998. [19] “STS MSR train corpus,” http://www.cs.york.ac.uk/semeval/task6/. … Related articles All 2 versions

SRIUBC: simple similarity features for semantic textual similarity E Yeh, E Agirre – Proceedings of the First Joint Conference on Lexical …, 2012 – dl.acm.org … In Proceedings of the 6th International Workshop on Semantic Evaluation (SemEval 2012), in conjunction with the First Joint Conference on Lexical and Computational Semantics (*SEM 2012). … 2009. Paraphrase identification as probabilistic quasi-synchronous recognition. … Cited by 1 Related articles All 15 versions

CDTDS: Predicting paraphrases in Twitter via support vector regression RM Karampatsis – Proceedings of SemEval, 2015 – alt.qcri.org … Dipanjan Das and Noah A. Smith. 2009. Paraphrase identification as probabilistic quasi-synchronous recognition. In In Proc. of ACL-IJCNLP. … In Proceed- ings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 114–118, Dublin, Ireland, August. … Cited by 1 Related articles

FBK-HLT: An Application of Semantic Textual Similarity for Answer Selection in Community Question Answering NPA Vo, S Magnolini, O Popescu… – … Evaluation, SemEval, 2015 – alt.qcri.org … ACM SIGKDD explorations newsletter, 11(1):10–18. Nitin Madnani, Joel Tetreault, and Martin Chodorow. 2012. Re-examining machine translation metrics for paraphrase identification. … 2015. Semeval-2015 task 3: Answer selection in community question answering. … Cited by 1 Related articles

Paraphrases and applications S Zhao, H Wang – Proceedings of the 23rd International Conference on …, 2010 – dl.acm.org … Part I –Introduction –Introduction –Paraphrase Identification –Paraphrase Extraction • Part II –Paraphrase Generation … 5 Page 6. Research on Paraphrasing • Paraphrase identification –Identify (sentential) paraphrases –Identify (sentential) paraphrases • Paraphrase extraction … Cited by 2 Related articles All 7 versions

Extracting lexically divergent paraphrases from Twitter W Xu, A Ritter, C Callison-Burch… – Transactions of the …, 2014 – tacl2013.cs.columbia.edu … Much previous work on paraphrase identification has been developed and evaluated on a specific benchmark dataset, the Microsoft Research Para- phrase Corpus (Dolan et al., 2004), which is de- 2The dataset and code are made available at: SemEval-2015 shared task http … Cited by 13 Related articles All 15 versions

Exploiting discourse information to identify paraphrases NX Bach, N Le Minh, A Shimazu – Expert Systems with Applications, 2014 – Elsevier … We apply the method to the task of paraphrase identification. • … Abstract. Previous work on paraphrase identification using sentence similarities has not exploited discourse structures, which have been shown as important information for paraphrase computation. … Cited by 4 Related articles All 4 versions

A sentence similarity method based on chunking and information content D ?tef?nescu, R Banjade, V Rus – Computational Linguistics and …, 2014 – Springer … Springer, Heidelberg (2008) 2. Agirre, E., Diab, M., Cer, D., Gonzalez-Agirre, A.: Semeval 2012 task 6: A pilot on semantic textual … Association for Computational Linguistics (2012) 3. Das, D., Smith, NA: Paraphrase identification as probabilistic quasi-synchronous recogni- tion. … Cited by 2 Related articles All 2 versions

TKLBLIIR: Detecting Twitter Paraphrases with TweetingJay M Karan, G Glavaš, J Šnajder, BD Bašic, I Vulic… – alt.qcri.org … 2014. SemEval-2014 task 10: Multilingual semantic textual similarity. pages 81–91. … Nitin Madnani, Joel Tetreault, and Martin Chodorow. 2012. Re-examining machine translation metrics for paraphrase identification. In Proceedings of NAACL 2012, pages 182–190. … Related articles

SemEval-2013 task 5: Evaluating phrasal semantics I Korkontzelos, T Zesch, FM Zanzotto… – Second Joint Conference …, 2013 – aclweb.org … de Abstract This paper describes the SemEval-2013 Task 5:“Evaluating Phrasal Semantics”. … ing the gap between lexical semantics and linguis- tic inference could provoke novel approaches to cer- tain established tasks, such as lexical entailment and paraphrase identification. … Cited by 10 Related articles All 16 versions

An Optimal Quadratic Approach to Monolingual Paraphrase Alignment M Lintean, V Rus – Nordic Conference of Computational Linguistics …, 2015 – aclweb.org … We focus here on word-level alignment. Furthermore, we focus on monolingual word alignment in the context of sentence-to-sentence similarity tasks such as tex- tual entailment and paraphrase identification. … 2012. SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity. … Related articles All 5 versions

UMCC_DLSI-(EPS): Paraphrases Detection Based on Semantic Distance H Dávila, A Fernández Orqu’in, A Chávez, Y Gutiérrez… – 2013 – repository.dlsi.ua.es … It is well known finding words similarity, even when it is lexical or semantic can improve entailment recognition and paraphrase identification; and ultimately … The aim of SemEval 2013 competition is also discovering similarity, specifically in Evaluating Phrasal Semantics (EPS). … Cited by 1 Related articles All 11 versions

A multi-dimensional classification approach towards recognizing textual semantic relations R Wang, Y Zhang – Proceedings of CI-CLing, 2011 – coli.uni-saarland.de … In: Proceedings of the SemEval-2010 Evaluation Exercises on Semantic Evaluation. (2010) 35. Das, D., Smith, NA: Paraphrase identification as probabilistic quasi- synchronous recogni- tion. In: Proceedings of ACL-IJCNLP 2009. (2009) Cited by 2 Related articles All 2 versions

23rd International Conference on Computational Linguistics S Zhao, H Wang – 2010 – aclweb.org … Part I –Introduction –Introduction –Paraphrase Identification –Paraphrase Extraction • Part II –Paraphrase Generation … 5 Page 10. Research on Paraphrasing • Paraphrase identification –Identify (sentential) paraphrases –Identify (sentential) paraphrases • Paraphrase extraction … All 10 versions

Deep Learning for Semantic Similarity A Sanborn, J Skryzalin – cs224d.stanford.edu … Springer Berlin Heidelberg, 2010. 620-625. Eyecioglu, A. and Keller, B. (2015). ”ASOBEK: Twitter paraphrase identification with simple overlap features and SVMs.” In Proceedings of SemEval. Jurgens, David, Mohammad Taher Pilehvar, and Roberto Navigli. …

Azmat: Sentence Similarity using Associative Matrices E Jaffe, L Jin, D King, M van Schijndel – ling.ohio-state.edu … In Proceedings of the 9th International Workshop on Se- mantic Evaluation (SemEval 2015), Denver, CO, June. Association for Computational Linguistics. … Dipanjan Das and Noah A. Smith. 2009. Paraphrase identification as probablistic quasi-synchronous recog- nition. In Proc. … Related articles All 2 versions

Extracting Topically Related Synonyms from Twitter using Syntactic and Paraphrase Data MA Antoniak – 2015 – digital.lib.washington.edu … 17 3.2 Comparison of the MSRPC and the SemEval Paraphrase Corpus. . . . . 18 … 35 5.4 Example synonyms extracted from SemEval-15 Task 1 training set. . . . . 35 5.5 Example substitutions of synonyms back into the training set. . . . . 36 … Related articles

A Unified Kernel Approach for Learning Typed Sentence Rewritings M Gleize, B Grau – aclweb.org … Several high level tasks look for either one-way rewriting between single sentences, like recognizing textual entail- ment (RTE) (Dagan et al., 2006), or two-way rewritings like paraphrase identification (Dolan et al., 2004) and semantic textual similarity (Agirre et al., 2012). …

Skip-thought vectors R Kiros, Y Zhu, R Salakhutdinov, RS Zemel… – arXiv preprint arXiv: …, 2015 – arxiv.org … The first group of results are SemEval 2014 submissions, while the second group are results reported by [22]. Right: Test set results on the Microsoft Paraphrase Corpus. … Our first experiment is on the SemEval 2014 Task 1: semantic relatedness SICK dataset [29]. … Cited by 2

Lipn-core: Semantic text similarity using n-grams, wordnet, syntactic analysis, esa and information retrieval based features D Buscaldi, J Le Roux, JJG Flores… – … Joint Conference on …, 2013 – hal.archives-ouvertes.fr … In Pro- ceedings of the 6th International Workshop on Se- mantic Evaluation (SemEval 2012), Montreal, Que- bec, Canada. [Chang and Lin2011] Chih-Chung Chang and Chih-Jen Lin. 2011. … 2009. Paraphrase identification as probabilistic quasi- synchronous recognition. … Cited by 7 Related articles All 30 versions

Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment MA Sultan, S Bethard, T Sumner – aclweb.org Page 1. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 949–959, Lisbon, Portugal, 17-21 September 2015. cO2015 Association for Computational Linguistics. Feature-Rich …

A corpus-based method for extracting paraphrases of emotion terms F Keshtkar, D Inkpen – Proceedings of the NAACL HLT 2010 Workshop …, 2010 – dl.acm.org … 3.2 Text Affect Dataset This dataset (Strapparava and Mihalcea, 2007) con- sists of newspaper headlines that were used in the SemEval 2007-Task 14. … Dipanjan Das and Noah A. Smith. 2009. Paraphrase identification as probabilistic quasi-synchronous recognition. … Cited by 16 Related articles All 11 versions

NeRoSim: A System for Measuring and Interpreting Semantic Textual Similarity R Banjade, NB Niraula, N Maharjan, V Rus… – researchgate.net … 2015. SemEval-2015 Task 2: Semantic Textual Simi- larity, English, Spanish and Pilot on Interpretability. In Proceedings of the 9th International Workshop on Se- mantic Evaluation (SemEval 2015), Denver, CO, June. … 2014. On paraphrase identification corpora. … Related articles All 2 versions

Implicit Entity Recognition in Clinical Documents S Perera, P Mendes, A Sheth, K Thirunarayan, A Alex… – knoesis.org … Going one step beyond, the SemEval 2014 task 7 recognized the need for identifying discon- tiguous mentions of explicit entities … Fer- nando and Stevenson, 2008) which are proven to perform well among the unsupervised algorithms in paraphrase identification task (ACLWiki … Related articles

Semi-Supervised and Latent-Variable Models of Natural Language Semantics D Das – 2012 – lti.cs.cmu.edu … 126 7.2.1 Frame-Semantic Representations for Paraphrase Identification . . . 126 7.2.2 Training Frame-Semantic Parsers for Multiple Languages . . . … 54 5.2 Breakdown of targets and arguments in the SemEval’07 training data. . . 55 5.3 Results for target identification. . … Cited by 6 Related articles All 12 versions

Learning semantic representations of words and their compositionality L Rei, D Mladenic – 2014 – kt.ijs.si … 17 3.5 Paraphrase Identification: MSR Paraphrase Corpus . . . . . … The degree to which semantic regularities are captured by the representation can be evaluated by a task such as the SemEval 2012 Task 2, Measuring Relation Similarity [41]. A more compre- … Related articles All 2 versions

Structural representations for learning relations between pairs of texts S Filice, G Da San Martino… – Proceedings of the 53rd …, 2015 – anthology.aclweb.org Page 1. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pages 1003–1013, Beijing, China, July 26-31, 2015. cO2015 Association for Computational Linguistics … Cited by 1

Paraphrase Detection for Short Answer Scoring N Koleva, A Horbach, A Palmer, S Ostermann… – … Proceedings Series Vol …, 2014 – aclweb.org … Gleize and Grau (2013) apply sentential paraphrase identification for scoring student answers. Their method is based on substitution by Basic English variants. … Gleize, M. and Grau, B. (2013). Limsiiles: Basic english substitution for student answer assessment at semeval 2013. … Related articles All 9 versions

BUT-TYPED: Using domain knowledge for computing typed similarity L Otrusina, P Smrz – Atlanta, Georgia, USA, 2013 – Citeseer … Lin, 1998; Lan- dauer et al., 1998; Sahlgren, 2005; Gabrilovich and Markovitch, 2007) and there is an active research in the fields of Textual Entailment (Negri et al., 2012), Paraphrase Identification (Lintean and Rus … Semeval-2012 task 6: A pilot on se- mantic textual similarity. … Related articles All 9 versions

A Semantic Logic-Based Approach to Determine Textual Similarity E Blanco, D Moldovan – Audio, Speech, and Language …, 2015 – ieeexplore.ieee.org … A. Paraphrasing and Recognizing Textual Entailment Paraphrase identification approaches are usually based on shallow lexical, n-gram and syntactic features [28]–[30 … The top-3 performers [18]–[20] at SemEval 2012 Task 6: A Pilot on Semantic Textual Similarity [1]1 followed a … Related articles

A bootstrapping method for extracting paraphrases of emotion expressions from texts F Keshtkar, D Inkpen – Computational Intelligence, 2013 – Wiley Online Library … We selected only the texts corresponding to the six basic emotions above (Ekman’s emotions). 3.2. Text Affect Data Set. This data set, 2 complied by Strapparava and Mihalcea (2007), consists of newspaper headlines that were used in the SemEval 2007-Task 14 Workshop. … Cited by 2 Related articles All 7 versions

The joint student response analysis and recognizing textual entailment challenge: making sense of student responses in educational applications MO Dzikovska, RD Nielsen, C Leacock – Language Resources and …, 2015 – Springer … The SRA challenge at SemEval 2013 was set up to evaluate the feasibility of building systems that could operate more or less unchanged across a … One team built a system using a paraphrase identification algorithm (LIMSIILES) that was later adapted to question answering. …

A Mixed Fuzzy Similarity Approach to Detect Plagiarism in Persian Texts H Ahangarbahan, GA Montazer – Advances in Computational Intelligence, 2015 – Springer … SemEval 2014, 785 (2014) 5. El-Alfy, E.-SM, et al.: Boosting paraphrase detection through textual similarity metrics with abductive networks. … arXiv preprint cmp-lg/9511007 (1995) 17. Rus, VRB, Lintean, M.: On paraphrase identification corpora. …

Semi-supervised semantic role labeling via structural alignment H Fürstenau, M Lapata – Computational Linguistics, 2012 – MIT Press … 2 We refer the interested reader to the reports on the SemEval-2007 shared task (Baker, Ellsworth, and Erk 2007) for an overview of the state of the art. … Finding similar labeled and unlabeled sentences is reminiscent of paraphrase identification (Qiu, Kan, and Chua 2006; Wan al … Cited by 16 Related articles All 12 versions

Structured Probabilistic Models for Natural Language Semantics D Das, WW Cohen, LS Levin – 2010 – Citeseer … 56 6.2.2 Word Clusters in Paraphrase Identification . . . . . … 33 5.1 Snapshot of lexicon entries and exemplar sentences in FrameNet v. 1.3 . . . . 39 5.2 Breakdown of targets and arguments in the SemEval’07 training data. . . . . 39 5.3 Snapshot of the SemEval’07 data. . … Related articles All 3 versions

Automatic Evaluation of Machine Translation, Paraphrase Generation, and Summarization: A Linear-programming-based Analysis L Chang – 2013 – scholarbank.nus.edu.sg Page 1. AUTOMATIC EVALUATION OF MACHINE TRANSLATION, PARAPHRASE GENERATION, AND SUMMARIZATION: A LINEAR-PROGRAMMING-BASED ANALYSIS LIU CHANG Bachelor of Computing (Honours), NUS A THESIS SUBMITTED … Related articles All 3 versions

Data-driven approaches for paraphrasing across language variations W Xu – 2014 – cs.nyu.edu … 66 ?6 Utilizing the Collected Data for Paraphrase Identification in Twitter . . 68 ??1 Supervised Learning Approaches . . . . . … 72 x Page 11. TABLE OF CONTENTS 7 Future Work 73 ?1 Diversity-aware Automatic Paraphrase Identification for Twitter . . . . 74 … Cited by 2 Related articles All 11 versions

Using topic themes for multi-document summarization S Harabagiu, F Lacatusu – ACM Transactions on Information Systems ( …, 2010 – dl.acm.org … The SemEval 2007 [SemEval 2007] and Senseval 2004 [SENSEVAL-3 2004] evaluations have shown that automatic labeling of semantic frames can be produced with good accuracy. Figure 11(a) shows the FrameNet definition of the TRIAL frame. … Cited by 19 Related articles All 3 versions

Classifying Relations by Ranking with Convolutional Neural Networks CN Santos, B Xiang, B Zhou – arXiv preprint arXiv:1504.06580, 2015 – arxiv.org … This approach achieves state-of-the-art performance on the SemEval-2010 Task 8 dataset. Yu et al. … architectures outperform pre- vious work for sentence completion and response matching, while the results are slightly worse than the state-of-the-art in paraphrase identification. … Related articles All 2 versions

Manifold learning for the semi-supervised induction of framenet predicates: An empirical investigation D Croce, D Previtali – Proceedings of the 2010 Workshop on …, 2010 – dl.acm.org … from Information Extraction (Surdeanu et al., 2003; Moschitti et al., 2003)) to Question Answering (Shen and Lapata, 2007), Paraphrase Identification (Pado and … LU induction has been integrated at SemEval-2007 as part of the Frame Seman- tic Structure Extraction shared task … Cited by 11 Related articles All 11 versions

A Compositional Perspective in Convolution Kernels R Basili, P Annesi, G Castellucci, D Croce – ceur-ws.org … presented in Section 4. Finally, Section 5 reports the empirical evaluation of the CSPTK over Question Classification and Paraphrase Identification tasks. … Kernel functions are evaluated against the dataset of the Semantic Text Similarity (STS) task built in SemEval 2012 [1], in …

Studies on Extraction of Parallel Fragments of Text from Comparable Corpora R Gupta – 2013 – dspace.jdvu.ac.in … on this topic can be found in chapter 6. 1 http://www.cs.york.ac.uk/semeval-2013/task1/ Page 19. 5 … Finally, since we participated in the shared task of TempEval-3, we will describe some of the systems submitted in SemEval-2007 (Task 15) and TempEval-2 in section 2.5. The … Related articles All 2 versions

Cross-cutting Models of Distributional Lexical Semantics JS Reisinger – 2010 – cs.utexas.edu Page 1. Cross-cutting Models of Distributional Lexical Semantics Joseph S. Reisinger¦ The University of Texas at Austin joeraii@cs.utexas.edu Doctoral Dissertation Proposal Supervising Professor: Raymond J. Mooney June 17, 2010 Abstract … Related articles All 4 versions

Modelling Syntactic and Semantic Tasks with Linguistically Enriched Recursive Neural Networks J Mallinson – 2015 – illc.uva.nl Page 1. Modelling Syntactic and Semantic Tasks with Linguistically Enriched Recursive Neural Networks MSc Thesis (Afstudeerscriptie) written by Jonathan Mallinson (born December 29, 1989 in Ipswich, United Kingdom) under …

[BOOK] Building and evaluating domain ontologies: NLP contributions G Grigonyte – 2010 – books.google.com … 102 6.4.1 Methodology of Relationship Learning ….. 103 6.4.1.1 Paraphrase Identification….. 104 6.4.1.2 Paraphrase … Cited by 7 Related articles

Automatic scoring for answers to Arabic test questions WH Gomaa, AA Fahmy – Computer Speech & Language, 2014 – Elsevier … The LIMSIILES (Gleize and Grau, 2013) system was modeled as a paraphrase identification problem, based on substitution by basic English variants. … In addition to the systems described in SemEval-2013 task #7, an excellent and more detailed overview of related work can be … Cited by 4 Related articles All 4 versions

Recognizing Deverbal Events In Context F RUBINO – International Journal of Computational Linguistics and …, 2011 – gelbukh.com … and inequality. We show empirically these features are effective for the TSR recognition tasks, eg an improvement of 3.1% of accuracy on entailment recognition and 2.3% on paraphrase identification (Sec- tion 5.2). Although … Related articles

Convolutional Neural Network for Sentence Classification Y Chen – 2015 – uwspace.uwaterloo.ca … Then both lexical and sentence level features are fed into a neural network to predict the relationship of two given nouns in a sentence, as shown in Figure 3.1. This model is experimented on the SemEval–2010 Task 8 dataset (a question set with 10 labels [20]). …

emnlp GH Hotel – 2013 – hum.csse.unimelb.edu.au Page 1. emnlp 2013 The 2013 Conference on Empirical Methods in Natural Language Processing Conference Handbook October 18-21, 2013 Grand Hyatt Hotel Seattle, Washington Page 2. EMNLP Organizing committee General … All 2 versions

Exploring dictionary-based semantic relatedness in labeled tree data A Tagarelli – Information Sciences, 2013 – Elsevier … measures. Such measures have been successfully applied to a variety of natural language problems, including WSD [47], paraphrase identification [38], malapropism detection [12], and synonym identification [60]. Particularly … Cited by 13 Related articles All 3 versions

BEETLE II: Deep natural language understanding and automatic feedback generation for intelligent tutoring in basic electricity and electronics M Dzikovska, N Steinhauser, E Farrow, J Moore… – International Journal of …, 2014 – Springer … The statistical methods employ techniques from textual entailment and paraphrase identification to compare the text of the stu- dent answer against sets of possible correct and incorrect answers anticipated by system developers (Jordan et al. 2007; McCarthy et al. … Cited by 4 Related articles All 5 versions

Textual inference for retrieving labeled object descriptions A Tribble – 2010 – lti.cs.cmu.edu … on current research from several communities, in- cluding applied textual inference (recognizing textual entailment, paraphrase identification, question answering … moved toward textual understanding tasks at MUC-6 with the introduction of the SemEval (semantic evaluation … Cited by 3 Related articles All 14 versions