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Front matter |
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Casting Implicit Role Linking as an Anaphora Resolution Task Carina Silberer and Anette Frank |
pp. ;1–10 |
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Adaptive Clustering for Coreference Resolution with Deterministic Rules and Web-Based Language Models Razvan Bunescu |
pp. ;11–19 |
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Measuring Semantic Relatedness using Multilingual Representations Samer Hassan, Carmen Banea and Rada Mihalcea |
pp. ;20–29 |
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Towards Building a Multilingual Semantic Network: Identifying Interlingual Links in Wikipedia Bharath Dandala, Rada Mihalcea and Razvan Bunescu |
pp. ;30–37 |
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Sentence Clustering via Projection over Term Clusters Lili Kotlerman, Ido Dagan, Maya Gorodetsky and Ezra Daya |
pp. ;38–43 |
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The Use of Granularity in Rhetorical Relation Prediction Blake Howald and Martha Abramson |
pp. ;44–48 |
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"Could you make me a favour and do coffee, please?": Implications for Automatic Error Correction in English and Dutch Sophia Katrenko |
pp. ;49–53 |
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Detecting Text Reuse with Modified and Weighted N-grams Rao Muhammad Adeel Nawab, Mark Stevenson and Paul Clough |
pp. ;54–58 |
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Statistical Thesaurus Construction for a Morphologically Rich Language Chaya Liebeskind, Ido Dagan and Jonathan Schler |
pp. ;59–64 |
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Sorting out the Most Confusing English Phrasal Verbs Yuancheng Tu and Dan Roth |
pp. ;65–69 |
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Learning Semantics and Selectional Preference of Adjective-Noun Pairs Karl Moritz Hermann, Chris Dyer, Phil Blunsom and Stephen Pulman |
pp. ;70–74 |
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Identifying hypernyms in distributional semantic spaces Alessandro Lenci and Giulia Benotto |
pp. ;75–79 |
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Towards a Flexible Semantics: Colour Terms in Collaborative Reference Tasks Bert Baumgaertner, Raquel Fernandez and Matthew Stone |
pp. ;80–84 |
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Unsupervised Disambiguation of Image Captions Wesley May, Sanja Fidler, Afsaneh Fazly, Sven Dickinson and Suzanne Stevenson |
pp. ;85–89 |
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Lexical semantic typologies from bilingual corpora — A framework Steffen Eger |
pp. ;90–94 |
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Non-atomic Classification to Improve a Semantic Role Labeler for a Low-resource Language Richard Johansson |
pp. ;95–99 |
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Combining resources for MWE-token classification Richard Fothergill and Timothy Baldwin |
pp. ;100–104 |
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Annotating Preferences in Negotiation Dialogues Anais Cadilhac, Nicholas Asher and Farah Benamara |
pp. ;105–113 |
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Selecting Corpus-Semantic Models for Neurolinguistic Decoding Brian Murphy, Partha Talukdar and Tom Mitchell |
pp. ;114–123 |
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Simple and Phrasal Implicatives Lauri Karttunen |
pp. ;124–131 |
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An Unsupervised Ranking Model for Noun-Noun Compositionality Karl Moritz Hermann, Phil Blunsom and Stephen Pulman |
pp. ;132–141 |
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Expanding the Range of Tractable Scope-Underspecified Semantic Representations Mehdi Manshadi and James Allen |
pp. ;142–150 |
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Regular polysemy: A distributional model Gemma Boleda, Sebastian Padó and Jason Utt |
pp. ;151–160 |
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Extracting a Semantic Lexicon of French Adjectives from a Large Lexicographic Dictionary Selja Seppälä, Lucie Barque and Alexis Nasr |
pp. ;161–169 |
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Modelling selectional preferences in a lexical hierarchy Diarmuid Ó Séaghdha and Anna Korhonen |
pp. ;170–179 |
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Unsupervised Induction of a Syntax-Semantics Lexicon Using Iterative Refinement Hagen Fürstenau and Owen Rambow |
pp. ;180–188 |
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An Evaluation of Graded Sense Disambiguation using Word Sense Induction David Jurgens |
pp. ;189–198 |
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Ensemble-based Semantic Lexicon Induction for Semantic Tagging Ashequl Qadir and Ellen Riloff |
pp. ;199–208 |
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An Exact Dual Decomposition Algorithm for Shallow Semantic Parsing with Constraints Dipanjan Das, André F. T. Martins and Noah A. Smith |
pp. ;209–217 |
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Aligning Predicate Argument Structures in Monolingual Comparable Texts: A New Corpus for a New Task Michael Roth and Anette Frank |
pp. ;218–227 |
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The Effects of Semantic Annotations on Precision Parse Ranking Andrew MacKinlay, Rebecca Dridan, Diana McCarthy and Timothy Baldwin |
pp. ;228–236 |
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A Probabilistic Lexical Model for Ranking Textual Inferences Eyal Shnarch, Ido Dagan and Jacob Goldberger |
pp. ;237–245 |
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#Emotional Tweets Saif Mohammad |
pp. ;246–255 |
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Monolingual Distributional Similarity for Text-to-Text Generation Juri Ganitkevitch, Benjamin Van Durme and Chris Callison-Burch |
pp. ;256–264 |
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*SEM 2012 Shared Task: Resolving the Scope and Focus of Negation Roser Morante and Eduardo Blanco |
pp. ;265–274 |
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UABCoRAL: A Preliminary study for Resolving the Scope of Negation Binod Gyawali and Thamar Solorio |
pp. ;275–281 |
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UCM-I: A Rule-based Syntactic Approach for Resolving the Scope of Negation Jorge Carrillo de Albornoz, Laura Plaza, Alberto Díaz and Miguel Ballesteros |
pp. ;282–287 |
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UCM-2: a Rule-Based Approach to Infer the Scope of Negation via Dependency Parsing Miguel Ballesteros, Alberto Díaz, Virginia Francisco, Pablo Gervás, Jorge Carrillo de Albornoz and Laura Plaza |
pp. ;288–293 |
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UConcordia: CLaC Negation Focus Detection at *Sem 2012 Sabine Rosenberg and Sabine Bergler |
pp. ;294–300 |
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UGroningen: Negation detection with Discourse Representation Structures Valerio Basile, Johan Bos, Kilian Evang and Noortje Venhuizen |
pp. ;301–309 |
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UiO1: Constituent-Based Discriminative Ranking for Negation Resolution Jonathon Read, Erik Velldal, Lilja Øvrelid and Stephan Oepen |
pp. ;310–318 |
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UiO 2: Sequence-labeling Negation Using Dependency Features Emanuele Lapponi, Erik Velldal, Lilja Øvrelid and Jonathon Read |
pp. ;319–327 |
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UMichigan: A Conditional Random Field Model for Resolving the Scope of Negation Amjad Abu Jbara and Dragomir Radev |
pp. ;328–334 |
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UWashington: Negation Resolution using Machine Learning Methods James Paul White |
pp. ;335–339 |
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FBK: Exploiting Phrasal and Contextual Clues for Negation Scope Detection Md. Faisal Mahbub Chowdhury |
pp. ;340–346 |
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SemEval-2012 Task 1: English Lexical Simplification Lucia Specia, Sujay Kumar Jauhar and Rada Mihalcea |
pp. ;347–355 |
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SemEval-2012 Task 2: Measuring Degrees of Relational Similarity David Jurgens, Saif Mohammad, Peter Turney and Keith Holyoak |
pp. ;356–364 |
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SemEval-2012 Task 3: Spatial Role Labeling parisa kordjamshidi, steven bethard and Marie-Francine Moens |
pp. ;365–373 |
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SemEval-2012 Task 4: Evaluating Chinese Word Similarity Peng Jin and Yunfang Wu |
pp. ;374–377 |
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SemEval-2012 Task 5: Chinese Semantic Dependency Parsing Wanxiang Che, Meishan Zhang, Yanqiu Shao and Ting Liu |
pp. ;378–384 |
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SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity Eneko Agirre, Daniel Cer, Mona Diab and Aitor Gonzalez-Agirre |
pp. ;385–393 |
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SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning Andrew Gordon, Zornitsa Kozareva and Melissa Roemmele |
pp. ;394–398 |
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Semeval-2012 Task 8: Cross-lingual Textual Entailment for Content Synchronization Matteo Negri, Alessandro Marchetti, Yashar Mehdad, Luisa Bentivogli and Danilo Giampiccolo |
pp. ;399–407 |
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EMNLP@CPH: Is frequency all there is to simplicity? Anders Johannsen, Héctor Martínez, Sigrid Klerke and Anders Søgaard |
pp. ;408–412 |
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UTD: Determining Relational Similarity Using Lexical Patterns Bryan Rink and Sanda Harabagiu |
pp. ;413–418 |
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UTD-SpRL: A Joint Approach to Spatial Role Labeling Kirk Roberts and Sanda Harabagiu |
pp. ;419–424 |
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MIXCD: System Description for Evaluating Chinese Word Similarity at SemEval-2012 Yingjie Zhang, Bin Li, Xinyu Dai and Jiajun Chen |
pp. ;425–429 |
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Zhijun Wu: Chinese Semantic Dependency Parsing with Third-Order Features Zhijun Wu, Xuan Wang and Xinxin Li |
pp. ;430–434 |
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UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures Daniel Bär, Chris Biemann, Iryna Gurevych and Torsten Zesch |
pp. ;435–440 |
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TakeLab: Systems for Measuring Semantic Text Similarity Frane Šarić, Goran Glavaš, Mladen Karan, Jan Šnajder and Bojana Dalbelo Bašić |
pp. ;441–448 |
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Soft Cardinality: A Parameterized Similarity Function for Text Comparison Sergio Jimenez, Claudia Becerra and Alexander Gelbukh |
pp. ;449–453 |
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UNED: Improving Text Similarity Measures without Human Assessments Enrique Amigó, Jesus Gimenez, Julio Gonzalo and Felisa Verdejo |
pp. ;454–460 |
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UTDHLT: COPACETIC System for Choosing Plausible Alternatives Travis Goodwin, Bryan Rink, Kirk Roberts and Sanda Harabagiu |
pp. ;461–466 |
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HDU: Cross-lingual Textual Entailment with SMT Features Katharina Wäschle and Sascha Fendrich |
pp. ;467–471 |
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UAlacant: Using Online Machine Translation for Cross-Lingual Textual Entailment Miquel Esplà-Gomis, Felipe Sánchez-Martínez and Mikel L. Forcada |
pp. ;472–476 |
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UOW-SHEF: SimpLex – Lexical Simplicity Ranking based on Contextual and Psycholinguistic Features Sujay Kumar Jauhar and Lucia Specia |
pp. ;477–481 |
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SB: mmSystem - Using Decompositional Semantics for Lexical Simplification Marilisa Amoia and Massimo Romanelli |
pp. ;482–486 |
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ANNLOR: A Naïve Notation-system for Lexical Outputs Ranking Anne-Laure Ligozat, Cyril Grouin, Anne Garcia-Fernandez and Delphine Bernhard |
pp. ;487–492 |
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UNT-SimpRank: Systems for Lexical Simplification Ranking Ravi Sinha |
pp. ;493–496 |
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Duluth : Measuring Degrees of Relational Similarity with the Gloss Vector Measure of Semantic Relatedness Ted Pedersen |
pp. ;497–501 |
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BUAP: A First Approximation to Relational Similarity Measuring Mireya Tovar, J. Alejandro Reyes, Azucena Montes, Darnes Vilariño, David Pinto and Saul León |
pp. ;502–505 |
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Zhou qiaoli: A divide-and-conquer strategy for semantic dependency parsing zhou qiaoli, zhang ling, liu fei, cai dongfeng and zhang guiping |
pp. ;506–513 |
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ICT:A System Combination for Chinese Semantic Dependency Parsing Hao Xiong and Qun Liu |
pp. ;514–518 |
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NJU-Parser: Achievements on Semantic Dependency Parsing Guangchao Tang, Bin Li, Shuaishuai Xu, Xinyu Dai and Jiajun Chen |
pp. ;519–523 |
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PolyUCOMP: Combining Semantic Vectors with Skip bigrams for Semantic Textual Similarity Jian Xu, Qin Lu and Zhengzhong Liu |
pp. ;524–528 |
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ETS: Discriminative Edit Models for Paraphrase Scoring Michael Heilman and Nitin Madnani |
pp. ;529–535 |
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Sbdlrhmn: A Rule-based Human Interpretation System for Semantic Textual Similarity Task Samir AbdelRahman and Catherine Blake |
pp. ;536–542 |
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LIMSI: Learning Semantic Similarity by Selecting Random Word Subsets Artem Sokolov |
pp. ;543–546 |
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ATA-Sem: Chunk-based Determination of Semantic Text Similarity Demetrios Glinos |
pp. ;547–551 |
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IRIT: Textual Similarity Combining Conceptual Similarity with an N-Gram Comparison Method Davide Buscaldi, Ronan Tournier, Nathalie Aussenac-Gilles and Josiane Mothe |
pp. ;552–556 |
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DSS: Text Similarity Using Lexical Alignments of Form, Distributional Semantics and Grammatical Relations Diana McCarthy, Spandana Gella and Siva Reddy |
pp. ;557–564 |
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DeepPurple: Estimating Sentence Semantic Similarity using N-gram Regression Models and Web Snippets NIkos Malandrakis, Elias Iosif and Alexandros Potamianos |
pp. ;565–570 |
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JU\_CSE\_NLP: Multi-grade Classification of Semantic Similarity between Text Pairs Snehasis Neogi, Partha Pakray, Sivaji Bandyopadhyay and Alexander Gelbukh |
pp. ;571–574 |
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Tiantianzhu7:System Description of Semantic Textual Similarity (STS) in the SemEval-2012 (Task 6) Zhu Tiantian and Lan Man |
pp. ;575–578 |
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sranjans : Semantic Textual Similarity using Maximal Weighted Bipartite Graph Matching Sumit Bhagwani, Shrutiranjan Satapathy and Harish Karnick |
pp. ;579–585 |
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Weiwei: A Simple Unsupervised Latent Semantics based Approach for Sentence Similarity Weiwei Guo and Mona Diab |
pp. ;586–590 |
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UNIBA: Distributional Semantics for Textual Similarity Annalina Caputo, Pierpaolo Basile and Giovanni Semeraro |
pp. ;591–596 |
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UNITOR: Combining Semantic Text Similarity functions through SV Regression Danilo Croce, Paolo Annesi, Valerio Storch and Roberto Basili |
pp. ;597–602 |
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Saarland: Vector-based models of semantic textual similarity Georgiana Dinu and Stefan Thater |
pp. ;603–607 |
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UMCC\_DLSI: Multidimensional Lexical-Semantic Textual Similarity
Antonio Fernández, Yoan Gutiérrez, Héctor Dávila, Alexander Chávez,
Andy González, Rainel Estrada, Yenier Castañeda, Sonia Vázquez, Andrés
Montoyo and Rafael Muñoz |
pp. ;608–616 |
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SRIUBC: Simple Similarity Features for Semantic Textual Similarity Eric Yeh and Eneko Agirre |
pp. ;617–623 |
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FBK: Machine Translation Evaluation and Word Similarity metrics for Semantic Textual Similarity José Guilherme Camargo de Souza, Matteo Negri and Yashar Mehdad |
pp. ;624–630 |
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FCC: Three Approaches for Semantic Textual Similarity Maya Carrillo, Darnes Vilariño, David Pinto, Mireya Tovar, Saul León and Esteban Castillo |
pp. ;631–634 |
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UNT: A Supervised Synergistic Approach to Semantic Text Similarity Carmen Banea, Samer Hassan, Michael Mohler and Rada Mihalcea |
pp. ;635–642 |
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DERI&UPM: Pushing Corpus Based Relatedness to Similarity: Shared Task System Description Nitish Aggarwal, Kartik Asooja and Paul Buitelaar |
pp. ;643–647 |
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Stanford: Probabilistic Edit Distance Metrics for STS Mengqiu Wang and Daniel Cer |
pp. ;648–654 |
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University\_Of\_Sheffield: Two Approaches to Semantic Text Similarity Sam Biggins, Shaabi Mohammed, Sam Oakley, Luke Stringer, Mark Stevenson and Judita Preiss |
pp. ;655–661 |
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janardhan: Semantic Textual Similarity using Universal Networking Language graph matching Janardhan Singh, Arindam Bhattacharya and Pushpak Bhattacharyya |
pp. ;662–666 |
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SAGAN: An approach to Semantic Textual Similarity based on Textual Entailment Julio Castillo and Paula Estrella |
pp. ;667–672 |
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UOW: Semantically Informed Text Similarity Miguel Rios, Wilker Aziz and Lucia Specia |
pp. ;673–678 |
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Penn: Using Word Similarities to better Estimate Sentence Similarity Sneha Jha, Hansen A. Schwartz and Lyle Ungar |
pp. ;679–683 |
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Soft Cardinality + ML: Learning Adaptive Similarity Functions for Cross-lingual Textual Entailment Sergio Jimenez, Claudia Becerra and Alexander Gelbukh |
pp. ;684–688 |
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JU\_CSE\_NLP: Language Independent Cross-lingual Textual Entailment System Snehasis Neogi, Partha Pakray, Sivaji Bandyopadhyay and Alexander Gelbukh |
pp. ;689–695 |
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CELI: An Experiment with Cross Language Textual Entailment Milen Kouylekov, Luca Dini, Alessio Bosca and Marco Trevisan |
pp. ;696–700 |
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FBK: Cross-Lingual Textual Entailment Without Translation Yashar Mehdad, Matteo Negri and Jose Guilherme C. de Souza |
pp. ;701–705 |
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BUAP: Lexical and Semantic Similarity for Cross-lingual Textual Entailment Darnes Vilariño, David Pinto, Mireya Tovar, Saul León and Esteban Castillo |
pp. ;706–709 |
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DirRelCond3: Detecting Textual Entailment Across Languages With Conditions On Directional Text Relatedness Scores Alpar Perini |
pp. ;710–714 |
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ICT: A Translation based Method for Cross-lingual Textual Entailment Fandong Meng, Hao Xiong and Qun Liu |
pp. ;715–720 |
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SAGAN: A Machine Translation Approach for Cross-Lingual Textual Entailment Julio Castillo and Marina Cardenas |
pp. ;721–726 |