---
title: "Joint Conference on Lexical and Computational Semantics"
description: "Joint Conference on Lexical and Computational Semantics (*SEM), Proceedings of the Main Conference and the Shared Task: Semantic…"
canonical: "https://research.elamur.ai/free/en/venues/joint-conference-on-lexical-and-computational-semantics-sem-proceedings-of-the-2/2013/"
---
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# Joint Conference on Lexical and Computational Semantics (*SEM), Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity 2013 — accepted papers

Joint Conference on Lexical and Computational Semantics (*SEM), Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity 2013 is the 2013 edition of the Joint Conference on Lexical and Computational Semantics (*SEM), Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity, held in Atlanta, Georgia, USA, June 2013 (publisher: Association for Computational Linguistics). The ACL Anthology lists 45 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**45** papers in the proceedings](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/joint-conference-on-lexical-and-computational-semantics-sem-proceedings-of-the-2/2013/#works) · [**589** citations of these works](https://md.research.elamur.ai/free/en/venues/joint-conference-on-lexical-and-computational-semantics-sem-proceedings-of-the-2/2013/#works)**Atlanta, Georgia, USA** where it was held**June 2013** when

## All accepted papers (45)

The most cited first; 2 with our summary link to their page here, the others to the original.

1. **[*SEM 2013 shared task: Semantic Textual Similarity](https://md.research.elamur.ai/free/en/papers/agirre-2013-sem-2013-shared-task-semantic/)**Eneko Agirre, Daniel Cer, Mona Diab et al.*our summary*
2. **[A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books](https://md.research.elamur.ai/free/en/papers/goldberg-2013-dataset-syntactic-ngrams-over-time/)**Yoav Goldberg, Jon Orwant*our summary*
3. **[Automatically Identifying Implicit Arguments to Improve Argument Linking and Coherence Modeling](https://aclanthology.org/S13-1043/)**Michael Roth, Anette Frank
4. **[BUT-TYPED: Using domain knowledge for computing typed similarity](https://aclanthology.org/S13-1016/)**Lubomir Otrusina, Pavel Smrz
5. **[Bootstrapping Semantic Role Labelers from Parallel Data](https://aclanthology.org/S13-1044/)**Mikhail Kozhevnikov, Ivan Titov
6. **[CFILT-CORE: Semantic Textual Similarity using Universal Networking Language](https://aclanthology.org/S13-1031/)**Avishek Dan, Pushpak Bhattacharyya
7. **[CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity](https://aclanthology.org/S13-1029/)**Ehsan Shareghi, Sabine Bergler
8. **[CNGL-CORE: Referential Translation Machines for Measuring Semantic Similarity](https://aclanthology.org/S13-1034/)**Ergun Biçici, Josef van Genabith
9. **[CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge](https://aclanthology.org/S13-1032/)**Carmen Banea, Yoonjung Choi, Lingjia Deng et al.
10. **[Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach](https://aclanthology.org/S13-1042/)**Hansen Andrew Schwartz, Johannes Eichstaedt, Eduardo Blanco et al.
11. **[Coarse to Fine Grained Sense Disambiguation in Wikipedia](https://aclanthology.org/S13-1003/)**Hui Shen, Razvan Bunescu, Rada Mihalcea
12. **[DLS@CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity](https://aclanthology.org/S13-1025/)**Md. Sultan, Steven Bethard, Tamara Sumner
13. **[DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation](https://aclanthology.org/S13-1014/)**Nikolaos Malandrakis, Elias Iosif, Vassiliki Prokopi et al.
14. **[Distinguishing Common and Proper Nouns](https://aclanthology.org/S13-1010/)**Judita Preiss, Mark Stevenson
15. **[ECNUCS: Measuring Short Text Semantic Equivalence Using Multiple Similarity Measurements](https://aclanthology.org/S13-1017/)**Tiantian Zhu, Lan Man
16. **[Exploring Vector Space Models to Predict the Compositionality of German Noun-Noun Compounds](https://aclanthology.org/S13-1038/)**Sabine Schulte im Walde, Stefan Müller, Stefan Roller
17. **[HENRY-CORE: Domain Adaptation and Stacking for Text Similarity](https://aclanthology.org/S13-1013/)**Michael Heilman, Nitin Madnani
18. **[IBM_EG-CORE: Comparing multiple Lexical and NE matching features in measuring Semantic Textual similarity](https://aclanthology.org/S13-1027/)**Sara Noeman
19. **[INAOE_UPV-CORE: Extracting Word Associations from Document Corpora to estimate Semantic Textual Similarity](https://aclanthology.org/S13-1033/)**Fernando Sánchez-Vega, Manuel Montes-y-Gómez, Paolo Rosso et al.
20. **[KLUE-CORE: A regression model of semantic textual similarity](https://aclanthology.org/S13-1026/)**Paul Greiner, Thomas Proisl, Stefan Evert et al.
21. **[KnCe2013-CORE:Semantic Text Similarity by use of Knowledge Bases](https://aclanthology.org/S13-1019/)**Hermann Ziak, Roman Kern
22. **[LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features](https://aclanthology.org/S13-1023/)**Davide Buscaldi, Joseph Le Roux, Jorge J. García Flores et al.
23. **[MayoClinicNLP–CORE: Semantic representations for textual similarity](https://aclanthology.org/S13-1021/)**Stephen Wu, Dongqing Zhu, Ben Carterette et al.
24. **[Metaphor Identification as Interpretation](https://aclanthology.org/S13-1040/)**Ekaterina Shutova
25. **[Montague Meets Markov: Deep Semantics with Probabilistic Logical Form](https://aclanthology.org/S13-1002/)**Islam Beltagy, Cuong Chau, Gemma Boleda et al.

[See all 45 papers in Joint Conference on Lexical and Computational Semantics (*SEM), Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity 2013 — accepted papers →](https://md.research.elamur.ai/free/en/venues/joint-conference-on-lexical-and-computational-semantics-sem-proceedings-of-the-2/2013/papers/)

## Papers with our summary in our library (2)

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

1. **[UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems](https://md.research.elamur.ai/free/en/papers/han-2013-umbc-ebiquity-core-semantic-textual/) [Joint Conference on Lexical and Computational Semantics (*SEM), Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity](https://md.research.elamur.ai/free/en/venues/joint-conference-on-lexical-and-computational-semantics-sem-proceedings-of-the-2/)**Lushan Han, Abhay L. Kashyap, Tim Finin, et al.*2013 · 398 citations*
2. **[A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books](https://md.research.elamur.ai/free/en/papers/goldberg-2013-dataset-syntactic-ngrams-over-time/) [Joint Conference on Lexical and Computational Semantics (*SEM), Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity](https://md.research.elamur.ai/free/en/venues/joint-conference-on-lexical-and-computational-semantics-sem-proceedings-of-the-2/)**Yoav Goldberg, Jon Orwant*2013 · 191 citations*

## Top topics

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

[English (1)](https://md.research.elamur.ai/free/en/topics/english/)

## Fields

[Arts and Humanities (2)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (2)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

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

[🧑‍🔬**Jonathan Weese**1 work here · 398 citations](https://md.research.elamur.ai/free/en/authors/jonathan-weese/) · [🧑‍🔬**Tim Finin**1 work here · 398 citations](https://md.research.elamur.ai/free/en/authors/tim-finin/) · [🧑‍🔬**Yoav Goldberg**1 work here · 191 citations](https://md.research.elamur.ai/free/en/authors/yoav-goldberg/)

## Top institutions

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

[🏢**Google** Mountain View · United States 1 work here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Bar-Ilan University** Ramat Gan · Israel 1 work here](https://md.research.elamur.ai/free/en/universities/bar-ilan-university/) · [🎓**Johns Hopkins University** Baltimore · United States 1 work here](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🎓**University of Maryland, Baltimore County** Baltimore · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-maryland-baltimore-county/)

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

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