---
title: "*SEM 2013 — all accepted papers with summaries and citations"
description: "All 113 papers of *SEM 2013 · page 1 of 2, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/starsem/2013/papers/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/starsem/2013/papers/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [*SEM](https://md.research.elamur.ai/free/en/venues/starsem/) / [2013](https://md.research.elamur.ai/free/en/venues/starsem/2013/) / papers

# *SEM 2013: all accepted papers

113 papers · page 1 of 2 · the most cited first · [← *SEM 2013](https://md.research.elamur.ai/free/en/venues/starsem/2013/)

**1** [2](https://md.research.elamur.ai/free/en/venues/starsem/2013/papers/page/2/) [next →](https://md.research.elamur.ai/free/en/venues/starsem/2013/papers/page/2/)

1. **[AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation ↗](https://aclanthology.org/S13-2050/)**Osman Başkaya, Enis Sert, Volkan Cirik et al.
2. **[ALTN: Word Alignment Features for Cross-lingual Textual Entailment ↗](https://aclanthology.org/S13-2023/)**Marco Turchi, Matteo Negri
3. **[AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis ↗](https://aclanthology.org/S13-2059/)**Mohamed Dermouche, Leila Khouas, Julien Velcin et al.
4. **[ASVUniOfLeipzig: Sentiment Analysis in Twitter using Data-driven Machine Learning Techniques ↗](https://aclanthology.org/S13-2074/)**Robert Remus
5. **[ATT1: Temporal Annotation Using Big Windows and Rich Syntactic and Semantic Features ↗](https://aclanthology.org/S13-2004/)**Hyuckchul Jung, Amanda Stent
6. **[AVAYA: Sentiment Analysis on Twitter with Self-Training and Polarity Lexicon Expansion ↗](https://aclanthology.org/S13-2055/)**Lee Becker, George Erhart, David Skiba et al.
7. **[BOUNCE: Sentiment Classification in Twitter using Rich Feature Sets ↗](https://aclanthology.org/S13-2093/)**Nadin Kökciyan, Arda Çelebi, Arzucan Özgür et al.
8. **[BUAP: N-gram based Feature Evaluation for the Cross-Lingual Textual Entailment Task ↗](https://aclanthology.org/S13-2022/)**Darnes Vilariño, David Pinto, Saúl León et al.
9. **[CNGL: Grading Student Answers by Acts of Translation ↗](https://aclanthology.org/S13-2098/)**Ergun Biçici, Josef van Genabith
10. **[CU : Computational Assessment of Short Free Text Answers - A Tool for Evaluating Students' Understanding ↗](https://aclanthology.org/S13-2101/)**Ifeyinwa Okoye, Steven Bethard, Tamara Sumner
11. **[Celi: EDITS and Generic Text Pair Classification ↗](https://aclanthology.org/S13-2099/)**Milen Kouylekov, Luca Dini, Alessio Bosca et al.
12. **[ClaC: Semantic Relatedness of Words and Phrases ↗](https://aclanthology.org/S13-2019/)**Reda Siblini, Leila Kosseim
13. **[ClearTK-TimeML: A minimalist approach to TempEval 2013](https://md.research.elamur.ai/free/en/papers/bethard-2013-cleartk-timeml-minimalist-approach-tempeval/)**Steven Bethard*our summary*
14. **[CoMeT: Integrating different levels of linguistic modeling for meaning assessment ↗](https://aclanthology.org/S13-2102/)**Niels Ott, Ramon Ziai, Michael Hahn et al.
15. **[CodeX: Combining an SVM Classifier and Character N-gram Language Models for Sentiment Analysis on Twitter Text ↗](https://aclanthology.org/S13-2086/)**Qi Han, Junfei Guo, Hinrich Schuetze
16. **[Columbia NLP: Sentiment Detection of Subjective Phrases in Social Media ↗](https://aclanthology.org/S13-2079/)**Sara Rosenthal, Kathy McKeown
17. **[DAEBAK!: Peripheral Diversity for Multilingual Word Sense Disambiguation ↗](https://aclanthology.org/S13-2043/)**Steve L. Manion, Raazesh Sainudiin
18. **[Duluth : Word Sense Induction Applied to Web Page Clustering ↗](https://aclanthology.org/S13-2036/)**Ted Pedersen
19. **[ECNUCS: A Surface Information Based System Description of Sentiment Analysis in Twitter in the SemEval-2013 (Task 2) ↗](https://aclanthology.org/S13-2067/)**Tiantian Zhu, Fangxi Zhang, Lan Man
20. **[ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures ↗](https://aclanthology.org/S13-2021/)**Jiang Zhao, Man Lan, Zheng-Yu Niu
21. **[EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis ↗](https://aclanthology.org/S13-2097/)**Itziar Aldabe, Montse Maritxalar, Oier Lopez de Lacalle
22. **[ETS: Domain Adaptation and Stacking for Short Answer Scoring ↗](https://aclanthology.org/S13-2046/)**Michael Heilman, Nitin Madnani
23. **[Experiments with DBpedia, WordNet and SentiWordNet as resources for sentiment analysis in micro-blogging ↗](https://aclanthology.org/S13-2075/)**Hussam Hamdan, Frederic Béchet, Patrice Bellot
24. **[FBK-irst : A Multi-Phase Kernel Based Approach for Drug-Drug Interaction Detection and Classification that Exploits Linguistic Information ↗](https://aclanthology.org/S13-2057/)**Md. Faisal Mahbub Chowdhury, Alberto Lavelli
25. **[FBK: Sentiment Analysis in Twitter with Tweetsted ↗](https://aclanthology.org/S13-2077/)**Md. Faisal Mahbub Chowdhury, Marco Guerini, Sara Tonelli et al.
26. **[FBM: Combining lexicon-based ML and heuristics for Social Media Polarities ↗](https://aclanthology.org/S13-2080/)**Carlos Rodríguez-Penagos, Jordi Atserias Batalla, Joan Codina-Filbà et al.
27. **[FSS-TimEx for TempEval-3: Extracting Temporal Information from Text ↗](https://aclanthology.org/S13-2010/)**Vanni Zavarella, Hristo Tanev
28. **[GETALP System : Propagation of a Lesk Measure through an Ant Colony Algorithm ↗](https://aclanthology.org/S13-2041/)**Didier Schwab, Andon Tchechmedjiev, Jérôme Goulian et al.
29. **[GU-MLT-LT: Sentiment Analysis of Short Messages using Linguistic Features and Stochastic Gradient Descent ↗](https://aclanthology.org/S13-2054/)**Tobias Günther, Lenz Furrer
30. **[HLTDI: CL-WSD Using Markov Random Fields for SemEval-2013 Task 10 ↗](https://aclanthology.org/S13-2031/)**Alex Rudnick, Can Liu, Michael Gasser
31. **[HeidelTime: Tuning English and Developing Spanish Resources for TempEval-3 ↗](https://aclanthology.org/S13-2003/)**Jannik Strötgen, Julian Zell, Michael Gertz
32. **[HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures ↗](https://aclanthology.org/S13-2008/)**Christian Wartena
33. **[IIIT-H: A Corpus-Driven Co-occurrence Based Probabilistic Model for Noun Compound Paraphrasing ↗](https://aclanthology.org/S13-2028/)**Nitesh Surtani, Arpita Batra, Urmi Ghosh et al.
34. **[IIRG: A Naive Approach to Evaluating Phrasal Semantics ↗](https://aclanthology.org/S13-2018/)**Lorna Byrne, Caroline Fenlon, John Dunnion
35. **[IITB-Sentiment-Analysts: Participation in Sentiment Analysis in Twitter SemEval 2013 Task ↗](https://aclanthology.org/S13-2082/)**Karan Chawla, Ankit Ramteke, Pushpak Bhattacharyya
36. **[JU_CSE: A CRF Based Approach to Annotation of Temporal Expression, Event and Temporal Relations ↗](https://aclanthology.org/S13-2011/)**Anup Kumar Kolya, Amitava Kundu, Rajdeep Gupta et al.
37. **[KLUE: Simple and robust methods for polarity classification ↗](https://aclanthology.org/S13-2065/)**Thomas Proisl, Paul Greiner, Stefan Evert et al.
38. **[KUL: Data-driven Approach to Temporal Parsing of Newswire Articles ↗](https://aclanthology.org/S13-2014/)**Oleksandr Kolomiyets, Marie-Francine Moens
39. **[Kea: Expression-level Sentiment Analysis from Twitter Data ↗](https://aclanthology.org/S13-2088/)**Ameeta Agrawal, Aijun An
40. **[LASIGE: using Conditional Random Fields and ChEBI ontology ↗](https://aclanthology.org/S13-2109/)**Tiago Grego, Francisco Pinto, Francisco M. Couto
41. **[LIMSI : Cross-lingual Word Sense Disambiguation using Translation Sense Clustering ↗](https://aclanthology.org/S13-2032/)**Marianna Apidianaki
42. **[LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013 ↗](https://aclanthology.org/S13-2100/)**Martin Gleize, Brigitte Grau
43. **[MELODI: A Supervised Distributional Approach for Free Paraphrasing of Noun Compounds ↗](https://aclanthology.org/S13-2026/)**Tim Van de Cruys, Stergos Afantenos, Philippe Muller
44. **[MELODI: Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting ↗](https://aclanthology.org/S13-2017/)**Tim Van de Cruys, Stergos Afantenos, Philippe Muller
45. **[ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge ↗](https://aclanthology.org/S13-2009/)**Michele Filannino, Gavin Brown, Goran Nenadic
46. **[NILC_USP: A Hybrid System for Sentiment Analysis in Twitter Messages ↗](https://aclanthology.org/S13-2095/)**Pedro Balage Filho, Thiago Pardo
47. **[NIL_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels ↗](https://aclanthology.org/S13-2107/)**Behrouz Bokharaeian, Alberto Díaz
48. **[NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2013-nrc-canada-building-state-art/)**Saif Mohammad, Svetlana Kiritchenko, Xiaodan Zhu*our summary*
49. **[NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10) ↗](https://aclanthology.org/S13-2034/)**Marine Carpuat
50. **[NTNU: Domain Semi-Independent Short Message Sentiment Classification ↗](https://aclanthology.org/S13-2071/)**Øyvind Selmer, Mikael Brevik, Björn Gambäck et al.
51. **[NavyTime: Event and Time Ordering from Raw Text ↗](https://aclanthology.org/S13-2012/)**Nathanael Chambers
52. **[OPTWIMA: Comparing Knowledge-rich and Knowledge-poor Approaches for Sentiment Analysis in Short Informal Texts ↗](https://aclanthology.org/S13-2076/)**Alexandra Balahur
53. **[REACTION: A naive machine learning approach for sentiment classification ↗](https://aclanthology.org/S13-2081/)**Silvio Moreira, João Filgueiras, Bruno Martins et al.
54. **[SAIL: A hybrid approach to sentiment analysis ↗](https://aclanthology.org/S13-2072/)**Nikolaos Malandrakis, Abe Kazemzadeh, Alexandros Potamianos et al.
55. **[SATTY : Word Sense Induction Application in Web Search Clustering ↗](https://aclanthology.org/S13-2037/)**Satyabrata Behera, Upasana Gaikwad, Ramakrishna Bairi et al.
56. **[SCAI: Extracting drug-drug interactions using a rich feature vector ↗](https://aclanthology.org/S13-2111/)**Tamara Bobić, Juliane Fluck, Martin Hofmann-Apitius
57. **[SFS-TUE: Compound Paraphrasing with a Language Model and Discriminative Reranking ↗](https://aclanthology.org/S13-2027/)**Yannick Versley
58. **[SINAI: Machine Learning and Emotion of the Crowd for Sentiment Analysis in Microblogs ↗](https://aclanthology.org/S13-2066/)**Eugenio Martínez-Cámara, Arturo Montejo-Ráez, M. Teresa Martín-Valdivia et al.
59. **[SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis ↗](https://aclanthology.org/S13-2047/)**Sergio Jimenez, Claudia Becerra, Alexander Gelbukh
60. **[SOFTCARDINALITY: Learning to Identify Directional Cross-Lingual Entailment from Cardinalities and SMT ↗](https://aclanthology.org/S13-2006/)**Sergio Jimenez, Claudia Becerra, Alexander Gelbukh
61. **[SSA-UO: Unsupervised Sentiment Analysis in Twitter ↗](https://aclanthology.org/S13-2083/)**Reynier Ortega Bueno, Adrian Fonseca Bruzón, Yoan Gutiérrez et al.
62. **[SU-Sentilab : A Classification System for Sentiment Analysis in Twitter ↗](https://aclanthology.org/S13-2078/)**Gizem Gezici, Rahim Dehkharghani, Berrin Yanikoglu et al.
63. **[SUTime: Evaluation in TempEval-3 ↗](https://aclanthology.org/S13-2013/)**Angel Chang, Christopher D. Manning
64. **[SZTE-NLP: Sentiment Detection on Twitter Messages ↗](https://aclanthology.org/S13-2092/)**Viktor Hangya, Gábor Berend, Richárd Farkas
65. **[SemEval-2013 Task 10: Cross-lingual Word Sense Disambiguation ↗](https://aclanthology.org/S13-2029/)**Els Lefever, Véronique Hoste
66. **[SemEval-2013 Task 11: Word Sense Induction and Disambiguation within an End-User Application ↗](https://aclanthology.org/S13-2035/)**Roberto Navigli, Daniele Vannella
67. **[SemEval-2013 Task 12: Multilingual Word Sense Disambiguation ↗](https://aclanthology.org/S13-2040/)**Roberto Navigli, David Jurgens, Daniele Vannella
68. **[SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses ↗](https://aclanthology.org/S13-2049/)**David Jurgens, Ioannis Klapaftis
69. **[SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations ↗](https://aclanthology.org/S13-2001/)**Naushad UzZaman, Hector Llorens, Leon Derczynski et al.
70. **[SemEval-2013 Task 2: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/nakov-2013-semeval-2013-task-2-sentiment/)**Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva et al.*our summary*
71. **[SemEval-2013 Task 3: Spatial Role Labeling ↗](https://aclanthology.org/S13-2044/)**Oleksandr Kolomiyets, Parisa Kordjamshidi, Marie-Francine Moens et al.
72. **[SemEval-2013 Task 4: Free Paraphrases of Noun Compounds ↗](https://aclanthology.org/S13-2025/)**Iris Hendrickx, Zornitsa Kozareva, Preslav Nakov et al.
73. **[SemEval-2013 Task 5: Evaluating Phrasal Semantics ↗](https://aclanthology.org/S13-2007/)**Ioannis Korkontzelos, Torsten Zesch, Fabio Massimo Zanzotto et al.
74. **[SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge](https://md.research.elamur.ai/free/en/papers/dzikovska-2013-semeval-2013-task-7-joint/)**Myroslava Dzikovska, Rodney Nielsen, Chris Brew et al.*our summary*
75. **[SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)](https://md.research.elamur.ai/free/en/papers/bedmar-2013-semeval-2013-task-9-extraction/)**Isabel Segura-Bedmar, Paloma Martínez, María Herrero-Zazo*our summary*
76. **[Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization ↗](https://aclanthology.org/S13-2005/)**Matteo Negri, Alessandro Marchetti, Yashar Mehdad et al.
77. **[Serendio: Simple and Practical lexicon based approach to Sentiment Analysis ↗](https://aclanthology.org/S13-2091/)**Prabu Palanisamy, Vineet Yadav, Harsha Elchuri
78. **[SwatCS: Combining simple classifiers with estimated accuracy ↗](https://aclanthology.org/S13-2070/)**Sam Clark, Rich Wicentwoski
79. **[TJP: Using Twitter to Analyze the Polarity of Contexts ↗](https://aclanthology.org/S13-2061/)**Tawunrat Chalothorn, Jeremy Ellman
80. **[UC3M: A kernel-based approach to identify and classify DDIs in bio-medical texts. ↗](https://aclanthology.org/S13-2103/)**Daniel Sanchez-Cisneros
81. **[UColorado_SOM: Extraction of Drug-Drug Interactions from Biomedical Text using Knowledge-rich and Knowledge-poor Features ↗](https://aclanthology.org/S13-2112/)**Negacy Hailu, Lawrence E. Hunter, K. Bretonnel Cohen
82. **[UEM-UC3M: An Ontology-based named entity recognition system for biomedical texts. ↗](https://aclanthology.org/S13-2104/)**Daniel Sanchez-Cisneros, Fernando Aparicio Gali
83. **[UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis ↗](https://aclanthology.org/S13-2048/)**Omer Levy, Torsten Zesch, Ido Dagan et al.
84. **[UKP-WSI: UKP Lab Semeval-2013 Task 11 System Description ↗](https://aclanthology.org/S13-2038/)**Hans-Peter Zorn, Iryna Gurevych
85. **[UMCC_DLSI-(EPS): Paraphrases Detection Based on Semantic Distance ↗](https://aclanthology.org/S13-2016/)**Héctor Dávila, Antonio Fernández Orquín, Alexander Chávez et al.
86. **[UMCC_DLSI-(SA): Using a ranking algorithm and informal features to solve Sentiment Analysis in Twitter ↗](https://aclanthology.org/S13-2073/)**Yoan Gutiérrez, Andy González, Roger Pérez et al.
87. **[UMCC_DLSI: Reinforcing a Ranking Algorithm with Sense Frequencies and Multidimensional Semantic Resources to solve Multilingual Word Sense Disambiguation ↗](https://aclanthology.org/S13-2042/)**Yoan Gutiérrez, Yenier Castañeda, Andy González et al.
88. **[UMCC_DLSI: Semantic and Lexical features for detection and classification Drugs in biomedical texts ↗](https://aclanthology.org/S13-2106/)**Armando Collazo, Alberto Ceballo, Dennys D. Puig et al.
89. **[UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags ↗](https://aclanthology.org/S13-2020/)**Sergio Jimenez, Claudia Becerra, Alexander Gelbukh
90. **[UNITOR-HMM-TK: Structured Kernel-based learning for Spatial Role Labeling ↗](https://aclanthology.org/S13-2096/)**Emanuele Bastianelli, Danilo Croce, Roberto Basili et al.
91. **[UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis ↗](https://aclanthology.org/S13-2060/)**Giuseppe Castellucci, Simone Filice, Danilo Croce et al.
92. **[USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis ↗](https://aclanthology.org/S13-2064/)**Ganesh Harihara, Eugene Yang, Nathanael Chambers
93. **[UT-DB: An Experimental Study on Sentiment Analysis in Twitter ↗](https://aclanthology.org/S13-2063/)**Zhemin Zhu, Djoerd Hiemstra, Peter Apers et al.
94. **[UTTime: Temporal Relation Classification using Deep Syntactic Features ↗](https://aclanthology.org/S13-2015/)**Natsuda Laokulrat, Makoto Miwa, Yoshimasa Tsuruoka et al.
95. **[UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge ↗](https://aclanthology.org/S13-2108/)**Jari Björne, Suwisa Kaewphan, Tapio Salakoski
96. **[UWM-TRIADS: Classifying Drug-Drug Interactions with Two-Stage SVM and Post-Processing ↗](https://aclanthology.org/S13-2110/)**Majid Rastegar-Mojarad, Richard D. Boyce, Rashmi Prasad
97. **[Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features ↗](https://aclanthology.org/S13-2024/)**Yvette Graham, Bahar Salehi, Timothy Baldwin
98. **[Umigon: sentiment analysis for tweets based on terms lists and heuristics ↗](https://aclanthology.org/S13-2068/)**Clement Levallois
99. **[UoM: Using Explicit Semantic Analysis for Classifying Sentiments ↗](https://aclanthology.org/S13-2089/)**Sapna Negi, Michael Rosner
100. **[UoS: A Graph-Based System for Graded Word Sense Induction ↗](https://aclanthology.org/S13-2113/)**David Hope, Bill Keller

**1** [2](https://md.research.elamur.ai/free/en/venues/starsem/2013/papers/page/2/) [next →](https://md.research.elamur.ai/free/en/venues/starsem/2013/papers/page/2/)

- [← back to](https://md.research.elamur.ai/free/en/venues/starsem/2013/) — *SEM 2013