---
title: "SemEval 2016 — accepted papers — Elamur Research"
description: "SemEval 2016 — accepted papers: 11 papers in the Elamur Research library (San Diego, California), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/semeval/2016/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/semeval/2016/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [SemEval](https://md.research.elamur.ai/free/en/venues/semeval/) / 2016

# SemEval 2016 — accepted papers

SemEval 2016 is the 2016 edition of the International Workshop on Semantic Evaluation (SemEval), held in San Diego, California, June 2016 (publisher: Association for Computational Linguistics). The ACL Anthology lists 212 papers of it; our library holds 11 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**212** papers in the proceedings](#all) · [**11** works in our library](https://md.research.elamur.ai/free/en/venues/semeval/2016/#works) · [**6,209** citations of these works](https://md.research.elamur.ai/free/en/venues/semeval/2016/#works)**San Diego, California** where it was held**June 2016** when

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[SemEval-2016 Task 5: Aspect Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/pontiki-2016-semeval-2016-task-5-aspect/)**Maria Pontiki, Dimitris Galanis, Haris Papageorgiou et al.*1,281 citations · our summary*
2. **[SemEval-2016 Task 4: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-4-sentiment/)**Preslav Nakov, Alan Ritter, Sara Rosenthal et al.*966 citations · our summary*
3. **[SemEval-2016 Task 6: Detecting Stance in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2016-semeval-2016-task-6-detecting/)**Saif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani et al.*844 citations · our summary*
4. **[SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation](https://md.research.elamur.ai/free/en/papers/agirre-2016-semeval-2016-task-1-semantic/)**Eneko Agirre, Carmen Banea, Daniel Cer et al.*519 citations · our summary*
5. **[SemEval-2016 Task 3: Community Question Answering](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-3-community/)**Preslav Nakov, Lluís Màrquez, Alessandro Moschitti et al.*241 citations · our summary*
6. **[SemEval-2016 Task 12: Clinical TempEval](https://md.research.elamur.ai/free/en/papers/bethard-2016-semeval-2016-task-12-clinical/)**Steven Bethard, Guergana Savova, Wei-Te Chen et al.*182 citations · our summary*
7. **[MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection](https://md.research.elamur.ai/free/en/papers/zarrella-2016-mitre-semeval-2016-task-6/)**Guido Zarrella, Amy Marsh*173 citations · our summary*
8. **[SemEval 2016 Task 11: Complex Word Identification](https://md.research.elamur.ai/free/en/papers/paetzold-2016-semeval-2016-task-11-complex/)**Gustavo Paetzold, Lucia Specia*158 citations · our summary*
9. **[pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection](https://md.research.elamur.ai/free/en/papers/wei-2016-pkudblab-semeval-2016-task-6/)**Wan Wei, Xiao Zhang, Xuqin Liu et al.*124 citations · our summary*
10. **[NLANGP at SemEval-2016 Task 5: Improving Aspect Based Sentiment Analysis using Neural Network Features ↗](https://aclanthology.org/S16-1045/)**Zhiqiang Toh, Jian Su*118 citations*

## All accepted papers (212)

The most cited first; 11 with our summary link to their page here, the others to the original.

1. **[SemEval-2016 Task 5: Aspect Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/pontiki-2016-semeval-2016-task-5-aspect/)**Maria Pontiki, Dimitris Galanis, Haris Papageorgiou et al.*1,281 citations · our summary*
2. **[SemEval-2016 Task 4: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-4-sentiment/)**Preslav Nakov, Alan Ritter, Sara Rosenthal et al.*966 citations · our summary*
3. **[SemEval-2016 Task 6: Detecting Stance in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2016-semeval-2016-task-6-detecting/)**Saif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani et al.*844 citations · our summary*
4. **[SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation](https://md.research.elamur.ai/free/en/papers/agirre-2016-semeval-2016-task-1-semantic/)**Eneko Agirre, Carmen Banea, Daniel Cer et al.*519 citations · our summary*
5. **[SemEval-2016 Task 3: Community Question Answering](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-3-community/)**Preslav Nakov, Lluís Màrquez, Alessandro Moschitti et al.*241 citations · our summary*
6. **[SemEval-2016 Task 12: Clinical TempEval](https://md.research.elamur.ai/free/en/papers/bethard-2016-semeval-2016-task-12-clinical/)**Steven Bethard, Guergana Savova, Wei-Te Chen et al.*182 citations · our summary*
7. **[MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection](https://md.research.elamur.ai/free/en/papers/zarrella-2016-mitre-semeval-2016-task-6/)**Guido Zarrella, Amy Marsh*173 citations · our summary*
8. **[SemEval 2016 Task 11: Complex Word Identification](https://md.research.elamur.ai/free/en/papers/paetzold-2016-semeval-2016-task-11-complex/)**Gustavo Paetzold, Lucia Specia*158 citations · our summary*
9. **[pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection](https://md.research.elamur.ai/free/en/papers/wei-2016-pkudblab-semeval-2016-task-6/)**Wan Wei, Xiao Zhang, Xuqin Liu et al.*124 citations · our summary*
10. **[NLANGP at SemEval-2016 Task 5: Improving Aspect Based Sentiment Analysis using Neural Network Features ↗](https://aclanthology.org/S16-1045/)**Zhiqiang Toh, Jian Su*118 citations*
11. **[INSIGHT-1 at SemEval-2016 Task 5: Deep Learning for Multilingual Aspect-based Sentiment Analysis ↗](https://aclanthology.org/S16-1053/)**Sebastian Ruder, Parsa Ghaffari, John G. Breslin*115 citations*
12. **[SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision ↗](https://aclanthology.org/S16-1173/)**Jan Deriu, Maurice Gonzenbach, Fatih Uzdilli et al.*110 citations*
13. **[SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases ↗](https://aclanthology.org/S16-1004/)**Svetlana Kiritchenko, Saif Mohammad, Mohammad Salameh*100 citations*
14. **[SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2) ↗](https://aclanthology.org/S16-1168/)**Georgeta Bordea, Els Lefever, Paul Buitelaar*88 citations*
15. **[KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers ↗](https://aclanthology.org/S16-1172/)**Simone Filice, Danilo Croce, Alessandro Moschitti et al.*84 citations*
16. **[TAXI at SemEval-2016 Task 13: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling ↗](https://aclanthology.org/S16-1206/)**Alexander Panchenko, Stefano Faralli, Eugen Ruppert et al.*63 citations*
17. **[ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora ↗](https://aclanthology.org/S16-1138/)**Alberto Barrón-Cedeño, Daniele Bonadiman, Giovanni Da San Martino et al.*62 citations*
18. **[SemEval-2016 Task 8: Meaning Representation Parsing ↗](https://aclanthology.org/S16-1166/)**Jonathan May*62 citations*
19. **[SemEval-2016 Task 14: Semantic Taxonomy Enrichment ↗](https://aclanthology.org/S16-1169/)**David Jurgens, Mohammad Taher Pilehvar*60 citations*
20. **[UWB at SemEval-2016 Task 5: Aspect Based Sentiment Analysis ↗](https://aclanthology.org/S16-1055/)**Tomáš Hercig, Tomáš Brychcín, Lukáš Svoboda et al.*60 citations*
21. **[DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs ↗](https://aclanthology.org/S16-1067/)**Prashanth Vijayaraghavan, Ivan Sysoev, Soroush Vosoughi et al.*59 citations*
22. **[SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings ↗](https://aclanthology.org/S16-1136/)**Todor Mihaylov, Preslav Nakov*59 citations*
23. **[IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis ↗](https://aclanthology.org/S16-1174/)**Ayush Kumar, Sarah Kohail, Amit Kumar et al.*57 citations*
24. **[SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)](https://md.research.elamur.ai/free/en/papers/schneider-2016-semeval-2016-task-10-detecting/)**Nathan Schneider, Dirk Hovy, Anders Johannsen et al.*55 citations · our summary*
25. **[UWB at SemEval-2016 Task 1: Semantic Textual Similarity using Lexical, Syntactic, and Semantic Information ↗](https://aclanthology.org/S16-1089/)**Tomáš Brychcín, Lukáš Svoboda*55 citations*

[See all 212 papers in SemEval 2016 — accepted papers →](https://md.research.elamur.ai/free/en/venues/semeval/2016/papers/)

## Papers with our summary in our library (11)

The most cited first (OpenAlex citations plus our library's).

1. **[SemEval-2016 Task 5: Aspect Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/pontiki-2016-semeval-2016-task-5-aspect/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, et al.*2016 · 1,659 citations*
2. **[SemEval-2016 Task 6: Detecting Stance in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2016-semeval-2016-task-6-detecting/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Saif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, et al.*2016 · 1,199 citations*
3. **[SemEval-2016 Task 4: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-4-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Preslav Nakov, Alan Ritter, Sara Rosenthal, et al.*2016 · 1,082 citations*
4. **[SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation](https://md.research.elamur.ai/free/en/papers/agirre-2016-semeval-2016-task-1-semantic/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Eneko Agirre, Carmen Banea, Daniel Cer, et al.*2016 · 824 citations*
5. **[SemEval-2016 Task 3: Community Question Answering](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-3-community/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Preslav Nakov, Lluís Màrquez, Alessandro Moschitti, et al.*2016 · 319 citations*
6. **[SemEval 2016 Task 11: Complex Word Identification](https://md.research.elamur.ai/free/en/papers/paetzold-2016-semeval-2016-task-11-complex/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Gustavo Paetzold, Lucia Specia*2016 · 304 citations*
7. **[SemEval-2016 Task 12: Clinical TempEval](https://md.research.elamur.ai/free/en/papers/bethard-2016-semeval-2016-task-12-clinical/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Steven Bethard, Guergana Savova, Wei-Te Chen, et al.*2016 · 264 citations*
8. **[MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection](https://md.research.elamur.ai/free/en/papers/zarrella-2016-mitre-semeval-2016-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Guido Zarrella, Amy Marsh*2016 · 223 citations*
9. **[pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection](https://md.research.elamur.ai/free/en/papers/wei-2016-pkudblab-semeval-2016-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Wan Wei, Xiao Zhang, Xuqin Liu, et al.*2016 · 155 citations*
10. **[SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)](https://md.research.elamur.ai/free/en/papers/schneider-2016-semeval-2016-task-10-detecting/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Nathan Schneider, Dirk Hovy, Anders Johannsen, et al.*2016 · 100 citations*
11. **[CAMR at SemEval-2016 Task 8: An Extended Transition-based AMR Parser](https://md.research.elamur.ai/free/en/papers/wang-2016-camr-semeval-2016-task-8/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Chuan Wang, Sameer Pradhan, Xiaoman Pan, et al.*2016 · 80 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Sentiment & emotion (4)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Semantic parsing & meaning representation (1)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Idioms & multiword expressions (1)](https://md.research.elamur.ai/free/en/topics/multiword-expressions/)

## Fields

[Computer Science (11)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (10)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Psychology (2)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Biochemistry, Genetics and Molecular Biology (1)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Preslav Nakov**2 works here · 1,401 citations](https://md.research.elamur.ai/free/en/authors/preslav-nakov/) · [🧑‍🔬**Bing Qin**1 work here · 1,659 citations](https://md.research.elamur.ai/free/en/authors/bing-qin/) · [🧑‍🔬**Dimitris Galanis**1 work here · 1,659 citations](https://md.research.elamur.ai/free/en/authors/dimitris-galanis/) · [🧑‍🔬**Haris Papageorgiou**1 work here · 1,659 citations](https://md.research.elamur.ai/free/en/authors/haris-papageorgiou/) · [🧑‍🔬**Ion Androutsopoulos**1 work here · 1,659 citations](https://md.research.elamur.ai/free/en/authors/ion-androutsopoulos/) · [🧑‍🔬**Mahmoud Al-Ayyoub**1 work here · 1,659 citations](https://md.research.elamur.ai/free/en/authors/mahmoud-al-ayyoub/) · [🧑‍🔬**Maria Pontiki**1 work here · 1,659 citations](https://md.research.elamur.ai/free/en/authors/maria-pontiki/) · [🧑‍🔬**Marianna Apidianaki**1 work here · 1,659 citations](https://md.research.elamur.ai/free/en/authors/marianna-apidianaki/) · [🧑‍🔬**Mohammad AL-Smadi**1 work here · 1,659 citations](https://md.research.elamur.ai/free/en/authors/mohammad-al-smadi/) · [🧑‍🔬**Orphee De Clercq**1 work here · 1,659 citations](https://md.research.elamur.ai/free/en/authors/orphee-de-clercq/) · [🧑‍🔬**Suresh Manandhar**1 work here · 1,659 citations](https://md.research.elamur.ai/free/en/authors/suresh-manandhar/) · [🧑‍🔬**Veronique Hoste**1 work here · 1,659 citations](https://md.research.elamur.ai/free/en/authors/veronique-hoste/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**Hamad bin Khalifa University** Doha · Qatar 2 works here](https://md.research.elamur.ai/free/en/universities/hamad-bin-khalifa-university/) · [🎓**Université Paris-Sud** Orsay · France 1 work here](https://md.research.elamur.ai/free/en/universities/universite-paris-sud/) · [🎓**University of Copenhagen** Copenhagen · Denmark 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-copenhagen/) · [🏢**Google** Mountain View · United States 1 work here](https://md.research.elamur.ai/free/en/companies/google/) · [🔬**Centre National de la Recherche Scientifique** Paris · France 1 work here](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) · [🏢**IBM** Armonk · United States 1 work here](https://md.research.elamur.ai/free/en/companies/ibm/) · [🎓**Harvard University** Cambridge · United States 1 work here](https://md.research.elamur.ai/free/en/universities/harvard-university/) · [🎓**Johns Hopkins University** Baltimore · United States 1 work here](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🎓**University of Ottawa** Ottawa · Canada 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-ottawa/) · [🎓**Jordan University of Science and Technology** Irbid · Jordan 1 work here](https://md.research.elamur.ai/free/en/universities/jordan-university-of-science-and-technology/) · [🎓**University of the Basque Country** Leioa · Spain 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-the-basque-country/) · [🎓**University of Pittsburgh** Pittsburgh · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-pittsburgh/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

- [← previous SemEval 2015](https://md.research.elamur.ai/free/en/venues/semeval/2015/)
- [next → SemEval 2017](https://md.research.elamur.ai/free/en/venues/semeval/2017/)
- [↑ back to SemEval](https://md.research.elamur.ai/free/en/venues/semeval/)
