---
title: "Joint Conference on Lexical and Computational Semantics"
description: "All 45 papers of Joint Conference on Lexical and Computational Semantics (*SEM), Proceedings of the Main Conference and the Shared…"
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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: all accepted papers

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

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.
26. **[More Words and Bigger Pictures ↗](https://aclanthology.org/S13-1037/)**David Forsyth
27. **[NTNU-CORE: Combining strong features for semantic similarity ↗](https://aclanthology.org/S13-1008/)**Erwin Marsi, Hans Moen, Lars Bungum et al.
28. **[PolyUCOMP-CORE_TYPED: Computing Semantic Textual Similarity using Overlapped Senses ↗](https://aclanthology.org/S13-1012/)**Jian Xu, Qin Lu
29. **[Predicting the Compositionality of Multiword Expressions Using Translations in Multiple Languages ↗](https://aclanthology.org/S13-1039/)**Bahar Salehi, Paul Cook
30. **[SOFTCARDINALITY-CORE: Improving Text Overlap with Distributional Measures for Semantic Textual Similarity ↗](https://aclanthology.org/S13-1028/)**Sergio Jimenez, Claudia Becerra, Alexander Gelbukh
31. **[SRIUBC-Core: Multiword Soft Similarity Models for Textual Similarity ↗](https://aclanthology.org/S13-1022/)**Eric Yeh
32. **[SXUCFN-Core: STS Models Integrating FrameNet Parsing Information ↗](https://aclanthology.org/S13-1009/)**Sai Wang, Ru Li, Ruibo Wang et al.
33. **[Semantic Parsing Freebase: Towards Open-domain Semantic Parsing ↗](https://aclanthology.org/S13-1045/)**Qingqing Cai, Alexander Yates
34. **[Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors ↗](https://aclanthology.org/S13-1001/)**Edward Grefenstette
35. **[UBC_UOS-TYPED: Regression for typed-similarity ↗](https://aclanthology.org/S13-1018/)**Eneko Agirre, Nikolaos Aletras, Aitor Gonzalez-Agirre et al.
36. **[UCAM-CORE: Incorporating structured distributional similarity into STS ↗](https://aclanthology.org/S13-1011/)**Tamara Polajnar, Laura Rimell, Douwe Kiela
37. **[UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems](https://md.research.elamur.ai/free/en/papers/han-2013-umbc-ebiquity-core-semantic-textual/)**Lushan Han, Abhay L. Kashyap, Tim Finin et al.*our summary*
38. **[UMCC_DLSI: Textual Similarity based on Lexical-Semantic features ↗](https://aclanthology.org/S13-1015/)**Alexander Chávez, Héctor Dávila, Yoan Gutiérrez et al.
39. **[UNIBA-CORE: Combining Strategies for Semantic Textual Similarity ↗](https://aclanthology.org/S13-1024/)**Annalina Caputo, Pierpaolo Basile, Giovanni Semeraro
40. **[UNITOR-CORE_TYPED: Combining Text Similarity and Semantic Filters through SV Regression ↗](https://aclanthology.org/S13-1007/)**Danilo Croce, Valerio Storch, Roberto Basili
41. **[UPC-CORE: What Can Machine Translation Evaluation Metrics and Wikipedia Do for Estimating Semantic Textual Similarity? ↗](https://aclanthology.org/S13-1020/)**Alberto Barrón-Cedeño, Lluís Màrquez, Maria Fuentes et al.
42. **[UniMelb_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity ↗](https://aclanthology.org/S13-1030/)**Spandana Gella, Bahar Salehi, Marco Lui et al.
43. **[Unsupervised Word Usage Similarity in Social Media Texts ↗](https://aclanthology.org/S13-1036/)**Spandana Gella, Paul Cook, Bo Han
44. **[Using the text to evaluate short answers for reading comprehension exercises ↗](https://aclanthology.org/S13-1041/)**Andrea Horbach, Alexis Palmer, Manfred Pinkal
45. **[iKernels-Core: Tree Kernel Learning for Textual Similarity ↗](https://aclanthology.org/S13-1006/)**Aliaksei Severyn, Massimo Nicosia, Alessandro Moschitti
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